Problem-Solving and Data Analysis

179 questions

Question 121Question

A specialized laser cutter cuts steel sheet metal at a constant rate of 1818 inches per minute. At this rate, how many seconds does it take the laser cutter to cut a length of 66 feet of steel? (1 foot=12 inches1\text{ foot} = 12\text{ inches})

Show answer & explanation

Answer: 240

Answer

The correct answer is 240.
To find the number of seconds it takes the laser cutter to cut 66 feet of steel, we first convert the length to inches: 6 feet×12 inches/foot=72 inches6\text{ feet} \times 12\text{ inches/foot} = 72\text{ inches}. Next, we divide this length by the cutting rate to find the duration in minutes: 72 inches÷18 inches/minute=4 minutes72\text{ inches} \div 18\text{ inches/minute} = 4\text{ minutes}. Finally, we convert the minutes into seconds: $4\text{ minutes} \times 60\text{ seconds/minute} = 240\text{ seconds}.

Step-by-Step Solution

1
Convert the total cutting distance from feet to inches.
72 inches72\text{ inches}
Since the rate is given in inches per minute, we must convert the length from feet to inches to align the units. Knowing that 1 foot=12 inches1\text{ foot} = 12\text{ inches}, we multiply 66 by 1212.
2
Calculate the time in minutes to cut 72 inches72\text{ inches} at a rate of 18 inches/minute18\text{ inches/minute}.
4 minutes4\text{ minutes}
Dividing the total distance (72 inches72\text{ inches}) by the cutting rate (18 inches/minute18\text{ inches/minute}) yields the time in minutes.
3
Convert the time from minutes to seconds.
240 seconds240\text{ seconds}
Since 1 minute=60 seconds1\text{ minute} = 60\text{ seconds}, multiplying 44 minutes by 6060 gives the final time in seconds.

Key Concept

Performing multi-step unit conversions using rate and dimensional analysis.
Question 122Question

A fiber-optic internet connection downloads data at a constant rate of 4040 megabits per second. There are 88 megabits in 11 megabyte and 1,0001,000 megabytes in 11 gigabyte. At this rate, how many gigabytes of data can the connection download in 11 hour?

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Answer: 18

Answer

The connection can download 18 gigabytes of data in 1 hour.
First, convert the download rate from megabits per second to megabytes per second: 40÷8=540 \div 8 = 5 megabytes per second. Next, find the number of seconds in 11 hour: 60 minutes×60 seconds=3,60060 \text{ minutes} \times 60 \text{ seconds} = 3,600 seconds. Multiply the rate in megabytes per second by the number of seconds in an hour to find the total megabytes downloaded: 5×3,600=18,0005 \times 3,600 = 18,000 megabytes. Finally, convert megabytes to gigabytes: 18,000÷1,000=1818,000 \div 1,000 = 18 gigabytes.

Step-by-Step Solution

1
Convert the download speed from megabits per second to megabytes per second.
55 megabytes per second
Since 8 megabits=1 megabyte8\text{ megabits} = 1\text{ megabyte}, divide 4040 megabits per second by 88.
2
Calculate the total number of seconds in 11 hour.
3,6003,600 seconds
Since there are 6060 minutes in 11 hour and 6060 seconds in 11 minute, multiply 6060 by 6060.
3
Determine the total megabytes downloaded in 11 hour.
18,00018,000 megabytes
Multiply the rate of 55 megabytes per second by the elapsed time of 3,6003,600 seconds.
4
Convert the total megabytes to gigabytes.
1818 gigabytes
Since 1,000 megabytes=1 gigabyte1,000\text{ megabytes} = 1\text{ gigabyte}, divide 18,00018,000 megabytes by 1,0001,000.

Key Concept

Unit Conversions
Question 123Question

A researcher records the daily high temperatures, in degrees Fahrenheit, for 9 consecutive days in a certain city: 7272, 7474, 7575, 7777, 7878, 7979, 8181, 8282, and 8383. On the 10th day, the temperature was xx degrees Fahrenheit. If the median of the 10-day dataset is 78.578.5 degrees Fahrenheit, which of the following could be the value of xx?

Show answer & explanation

Answer: 80

Answer

80
To find the median of a dataset with 10 values, we sort the values in ascending order and average the 5th and 6th values. The original 9 values in sorted order are 72,74,75,77,78,79,81,82,8372, 74, 75, 77, 78, 79, 81, 82, 83. For the median of the 10-value dataset to be 78.578.5, the 5th value must be 7878 and the 6th value must be 7979. If the new value xx is greater than or equal to 7979, the first 5 values will remain 72,74,75,77,7872, 74, 75, 77, 78, and the 6th value will be 7979. This results in a median of 78+792=78.5\frac{78 + 79}{2} = 78.5. Since 8080 is greater than or equal to 7979, it could be the value of xx.

Step-by-Step Solution

1
Determine the rule for the median of a dataset with 10 values.
The median of 10 values is the average of the 5th and 6th values when the dataset is sorted in ascending order.
This is the definition of the median for an even number of data points.
2
Set up an equation for the 5th and 6th values.
For the median to be 78.578.5, the 5th and 6th values in the sorted list must average to 78.578.5. Since all temperatures are integers, the 5th value must be 7878 and the 6th value must be 7979.
The average of 7878 and 7979 is 78+792=78.5\frac{78 + 79}{2} = 78.5.
3
Find the inequality restriction on xx.
The original sorted list has 5 values less than or equal to 7878: 72,74,75,77,7872, 74, 75, 77, 78. If the 10th value xx is greater than or equal to 7979, it will be placed in position 6 or higher. The first 5 values will remain in positions 1 to 5, meaning the 5th value is 7878 and the 6th value is 7979. Thus, xx must be greater than or equal to 7979.
If xx were less than 7979, it would shift 7878 to the 6th position, resulting in a median that is less than or equal to 7878.
4
Identify the option that satisfies the restriction.
Among the options, only 8080 is greater than or equal to 7979.
A value of 8080 for xx ensures the sorted list is 72,74,75,77,78,79,80,81,82,8372, 74, 75, 77, 78, 79, 80, 81, 82, 83, which has a median of 78.578.5.

Key Concept

Calculating the median of a dataset with an even number of elements and understanding how the addition of a new element affects the positions of sorted values.
Question 124Question

A commercial printing press uses ink at a constant rate of 0.240.24 liters per minute. The density of the ink is 1.21.2 grams per milliliter. Given that 1 liter=1,000 milliliters1\text{ liter} = 1,000\text{ milliliters} and 1 kilogram=1,000 grams1\text{ kilogram} = 1,000\text{ grams}, how many kilograms of ink does the press use in 88 hours of continuous operation?

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Answer: 138.24138.24

Answer

The press uses 138.24138.24 kilograms of ink in 88 hours of continuous operation.
To find the mass in kilograms, first convert the 88 hours of operation to minutes: 8×60=480 minutes8 \times 60 = 480\text{ minutes}. Next, find the volume of ink used in liters: 480×0.24=115.2 liters480 \times 0.24 = 115.2\text{ liters}. Convert this volume to milliliters: 115.2×1,000=115,200 milliliters115.2 \times 1,000 = 115,200\text{ milliliters}. Using the density of 1.2 grams per milliliter1.2\text{ grams per milliliter}, calculate the mass in grams: 115,200×1.2=138,240 grams115,200 \times 1.2 = 138,240\text{ grams}. Finally, convert the mass to kilograms: 138,240÷1,000=138.24 kilograms138,240 \div 1,000 = 138.24\text{ kilograms}.

Step-by-Step Solution

1
Convert the operation time from hours to minutes.
8 hours×60 minutes/hour=480 minutes8\text{ hours} \times 60\text{ minutes/hour} = 480\text{ minutes}
Since the ink consumption rate is given in liters per minute, the time must be in minutes to calculate the total volume of ink used.
2
Calculate the total volume of ink used in liters.
480 minutes×0.24 liters/minute=115.2 liters480\text{ minutes} \times 0.24\text{ liters/minute} = 115.2\text{ liters}
Multiply the total operation time by the rate of ink usage to find the total liters of ink consumed.
3
Convert the volume from liters to milliliters.
115.2 liters×1,000 milliliters/liter=115,200 milliliters115.2\text{ liters} \times 1,000\text{ milliliters/liter} = 115,200\text{ milliliters}
Since the ink density is given in grams per milliliter, the volume must be in milliliters to find the mass.
4
Calculate the mass of the ink in grams using the density.
115,200 milliliters×1.2 grams/milliliter=138,240 grams115,200\text{ milliliters} \times 1.2\text{ grams/milliliter} = 138,240\text{ grams}
Multiply the volume in milliliters by the density to find the mass in grams.
5
Convert the mass from grams to kilograms.
138,240 grams÷1,000 grams/kilogram=138.24 kilograms138,240\text{ grams} \div 1,000\text{ grams/kilogram} = 138.24\text{ kilograms}
Divide the mass in grams by 1,0001,000 to convert it to kilograms.

Key Concept

Multi-step unit conversion involving rates, volume, density, and mass.
Question 125Question

A shipping company records the weights, in pounds, of 1010 packages in a delivery batch. The table below shows the distribution of the weights.

Weight (pounds)Frequency
4433
6633
8833
262611

If the heaviest package is removed from the batch, by how much will the mean weight of the remaining packages decrease, in pounds?

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Answer: 2

Answer

The mean weight of the remaining packages will decrease by 22 pounds.
The original mean weight of the 1010 packages is calculated by finding the total weight and dividing it by 1010. The total weight is (3×4)+(3×6)+(3×8)+(1×26)=12+18+24+26=80(3 \times 4) + (3 \times 6) + (3 \times 8) + (1 \times 26) = 12 + 18 + 24 + 26 = 80 pounds, so the initial mean is 8010=8\frac{80}{10} = 8 pounds. After removing the heaviest package of 2626 pounds, the remaining 99 packages have a total weight of 8026=5480 - 26 = 54 pounds. The new mean weight is 549=6\frac{54}{9} = 6 pounds. The decrease in the mean weight is 86=28 - 6 = 2 pounds.

Step-by-Step Solution

1
Calculate the total weight of the 1010 packages.
8080 pounds
By summing the products of each weight and its corresponding frequency.
2
Calculate the initial mean weight.
88 pounds
By dividing the total weight of 8080 pounds by the total count of 1010 packages.
3
Calculate the sum of the weights of the remaining packages after removing the heaviest package.
5454 pounds
By subtracting the weight of the heaviest package (2626 pounds) from the original total weight (8080 pounds).
4
Calculate the new mean weight of the remaining 99 packages.
66 pounds
By dividing the remaining weight (5454 pounds) by the new count of packages (99).
5
Find the decrease in the mean weight.
22 pounds
By subtracting the new mean weight (66 pounds) from the original mean weight (88 pounds).

Key Concept

Effect of outlier removal on the mean of a data distribution
Question 126Question

An electric scooter travels at a constant speed of 1515 miles per hour. Given that 1 mile=1.61\text{ mile} = 1.6 kilometers, how many seconds does it take the scooter to travel 100100 meters?

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Answer: 15

Answer

The correct answer is 15. The scooter takes 15 seconds to travel 100 meters.
To find the time in seconds to travel 100 meters, we first convert the speed of 15 miles per hour to kilometers per hour by multiplying by 1.6, yielding 24 kilometers per hour. We then convert this speed to meters per second by multiplying by 1,000 (to convert kilometers to meters) and dividing by 3,600 (to convert hours to seconds), which simplifies to 20/3 meters per second. Finally, dividing the distance of 100 meters by this speed of 20/3 meters per second gives 15 seconds.

Step-by-Step Solution

1
Convert the speed of the scooter from miles per hour to kilometers per hour.
The speed is 2424 kilometers per hour.
Since 1 mile=1.61\text{ mile} = 1.6 kilometers, we multiply 1515 by 1.61.6 to find the speed in kilometers per hour.
2
Convert the speed from kilometers per hour to meters per second.
The speed is 203\frac{20}{3} meters per second.
There are 1,0001,000 meters in 11 kilometer and 3,6003,600 seconds in 11 hour. Thus, the speed is 24×1,0003,600=203\frac{24 \times 1,000}{3,600} = \frac{20}{3} meters per second.
3
Calculate the time required to travel 100100 meters.
The time is 1515 seconds.
Using the formula time=distancespeed\text{time} = \frac{\text{distance}}{\text{speed}}, we divide 100100 meters by the speed of 203\frac{20}{3} meters per second: 100÷203=15100 \div \frac{20}{3} = 15 seconds.

Key Concept

Converting compound units and applying rate formulas to solve for time.
Question 127Question

The table below shows the insect populations in two different greenhouses, Greenhouse P and Greenhouse Q, monitored over a period of several weeks. The population in Greenhouse P grows linearly, while the population in Greenhouse Q grows exponentially.

Time (weeks)Greenhouse P populationGreenhouse Q population
0500500
1600600
2700720

Based on the table, what is the positive difference between the population in Greenhouse Q and the population in Greenhouse P at week 3?

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Answer: 64

Answer

64
At week 3, the population of Greenhouse P (which grows by a constant 100 insects each week) is 500+100(3)=800500 + 100(3) = 800. The population of Greenhouse Q (which grows by a constant factor of 1.2 each week) is 500(1.2)3=864500(1.2)^3 = 864. The positive difference between the two populations is 864800=64864 - 800 = 64.

Step-by-Step Solution

1
Determine the linear growth model for the population in Greenhouse P.
The population in Greenhouse P starts at 500 at week 0 and increases to 600 at week 1, and 700 at week 2. This represents a constant increase of 100 insects per week. Therefore, the population of Greenhouse P at week 3 is 700+100=800700 + 100 = 800 (or 500+100(3)=800500 + 100(3) = 800).
To find the population of Greenhouse P at week 3, we must determine and apply its constant rate of change.
2
Determine the exponential growth model for the population in Greenhouse Q.
The population in Greenhouse Q starts at 500 at week 0 and increases to 600 at week 1, and 720 at week 2. The ratio between consecutive weeks is 600500=1.2\frac{600}{500} = 1.2 and 720600=1.2\frac{720}{600} = 1.2. This represents a constant growth factor of 1.2 per week. Therefore, the population of Greenhouse Q at week 3 is 720×1.2=864720 \times 1.2 = 864 (or 500×(1.2)3=864500 \times (1.2)^3 = 864).
To find the population of Greenhouse Q at week 3, we must determine and apply its constant growth factor.
3
Calculate the positive difference between the two populations at week 3.
The positive difference is 864800=64864 - 800 = 64.
The question asks for the positive difference between the population of Greenhouse Q and the population of Greenhouse P at week 3.

Key Concept

Linear and Exponential Growth
Question 128Question

A botanist compares the heights, in centimeters, of two different varieties of sunflower, Variety A and Variety B, grown under identical greenhouse conditions. The table below shows the distribution of the heights for 66 sunflowers of each variety.

Height (cm)Variety A frequencyVariety B frequency
1101100011
1151150011
1201202211
1211212200
1221222211
1271270011
1321320011

Which of the following statements correctly compares the standard deviations of the heights of Variety A and Variety B?

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Answer: The standard deviation of Variety B is greater than the standard deviation of Variety A.

Answer

The standard deviation of Variety B is greater than the standard deviation of Variety A.
The correct statement is that the standard deviation of Variety B is greater than that of Variety A. The standard deviation measures how spread out the values in a dataset are from the mean. For Variety A, all data points are very close to the mean height of 121 cm121\text{ cm}. For Variety B, the heights are spread much further from the mean, ranging from 110 cm110\text{ cm} to 132 cm132\text{ cm}. Since Variety B's data points show greater variability and are more spread out, the standard deviation of Variety B must be greater than the standard deviation of Variety A.

Step-by-Step Solution

1
Understand the concept of standard deviation.
Standard deviation measures the variability or spread of data points around their mean.
This sets up the conceptual framework for comparing the two varieties without needing complex calculations.
2
Analyze the distribution and spread of Variety A.
The heights of Variety A are clustered closely, with all values (120120, 121121, and 122122) within 1 cm1\text{ cm} of the mean height of 121 cm121\text{ cm}.
This indicates that Variety A has a relatively low standard deviation due to its high concentration of data around the mean.
3
Analyze the distribution and spread of Variety B.
The heights of Variety B are spread out, ranging from 110 cm110\text{ cm} to 132 cm132\text{ cm}.
This demonstrates that Variety B has much higher variability around the mean than Variety A.
4
Compare the standard deviations based on the analyzed spreads.
Since Variety B is more spread out than Variety A, the standard deviation of Variety B must be greater than the standard deviation of Variety A.
This leads directly to the correct statement.

Key Concept

Standard deviation is a measure of how spread out the values in a dataset are from the mean.
Question 129Question

A coffee shop owner records the number of customers served during each hour of an 8-hour shift. The recorded numbers of customers are 1111, 1313, 1414, 1515, 1717, 1818, 2020, and xx. If the mean number of customers served per hour is equal to the median number of customers served per hour for this shift, and x>18x > 18, what is the value of xx?

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Answer: 20

Answer

20
The correct value is 20. When x>18x > 18, the 4th and 5th values of the sorted dataset are 15 and 17, giving a median of 16. Setting the mean, which is (108 + x)/8, equal to 16 yields x = 20, which is consistent with the condition x>18x > 18.

Step-by-Step Solution

1
Determine the median of the dataset given the constraint x>18x > 18.
The median of the dataset is 1616.
When the 8 values are sorted in ascending order, the first six values must be 11, 13, 14, 15, 17, and 18. The remaining two values, 20 and xx, will occupy the 7th and 8th positions (in either order). Since there are 8 values, the median is the average of the 4th and 5th values: 15+172=16\frac{15 + 17}{2} = 16.
2
Set up the equation for the mean of the dataset.
The mean is represented by the expression 108+x8\frac{108 + x}{8}.
The mean is the sum of all 8 values divided by 8: 11+13+14+15+17+18+20+x8=108+x8\frac{11 + 13 + 14 + 15 + 17 + 18 + 20 + x}{8} = \frac{108 + x}{8}.
3
Equate the mean to the median and solve for xx.
x=20x = 20
Setting the mean equal to the median gives 108+x8=16\frac{108 + x}{8} = 16. Multiplying by 8 yields 108+x=128108 + x = 128. Subtracting 108 from both sides results in x=20x = 20, which satisfies the condition x>18x > 18.

Key Concept

Analyzing the mean and median of a dataset containing a variable constraint
Question 130Question

A researcher wants to investigate the relationship between regular exercise and resting heart rate for adults residing in a certain city. The researcher obtains a list of all registered members of a large local fitness center and randomly selects 250 of these members to participate in a study. The study finds a strong negative correlation: members who reported exercising more than 5 hours per week had, on average, a significantly lower resting heart rate than those who reported exercising less than 5 hours per week. Which of the following is the most appropriate conclusion to draw from this study?

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Answer: There is an association between exercising more than 5 hours per week and having a lower resting heart rate for the members of this fitness center, but a causal relationship cannot be established.

Answer

There is an association between exercising more than 5 hours per week and having a lower resting heart rate for the members of this fitness center, but a causal relationship cannot be established.
The correct answer is the statement concluding that there is an association for the members of this fitness center, but a causal relationship cannot be established. Since the sample was randomly selected from the registered members of the local fitness center, the findings can be generalized to that population. However, because this is an observational study (no random assignment to exercise groups), a causal relationship cannot be established.

Step-by-Step Solution

1
Determine the target population that the sample represents.
The sample of 250 members was randomly selected from the registered members of a specific local fitness center.
Results of a statistical study can only be generalized to the population from which the sample was randomly selected. Because fitness center members are not representative of all adults in the city, the findings cannot be generalized to the entire city.
2
Evaluate the nature of the study design to check if causal conclusions can be made.
The study is observational because the researcher did not randomly assign participants to different exercise levels; the participants merely reported their existing habits.
A cause-and-effect relationship can only be established through a randomized controlled experiment. Observational studies can show association (correlation) but cannot establish causation.
3
Combine the limitations of generalization and causation to select the correct conclusion.
The study can only conclude that there is an association between exercise and resting heart rate for the members of this fitness center, with no causal claims allowed.
This is the only conclusion that respects both the sampling method and the observational design of the study.

Key Concept

Generalization and Causal Inference in Statistical Studies
Question 131Question

An environmental study monitors the populations of two fish species in a lake. At the start of the study (t=0t = 0), Species A has a population of 1,2001,200 and its population decreases by 4040 each year. Species B has a population of 800800 and its population increases by 5%5\% each year. To the nearest whole number, what is the positive difference in the populations of the two species at year t=3t = 3?

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Answer: 154

Answer

The positive difference in the populations of the two species at year t=3t = 3 is 154.
At t=3t = 3, the population of Species A, which decreases linearly by 40 each year, is 1,20040(3)=1,0801,200 - 40(3) = 1,080. The population of Species B, which grows exponentially at 5%5\% each year, is 800(1.05)3=926.1800(1.05)^3 = 926.1. The positive difference between these populations is 1,080926.1=153.91,080 - 926.1 = 153.9, which rounds to 154.

Step-by-Step Solution

1
Calculate the population of Species A at t=3t = 3 using a linear decay model.
A(3)=1,080A(3) = 1,080
Since Species A decreases by a constant number of 40 fish each year, its population follows the linear model A(t)=1,20040tA(t) = 1,200 - 40t. Substituting t=3t = 3 gives 1,200120=1,0801,200 - 120 = 1,080.
2
Calculate the population of Species B at t=3t = 3 using an exponential growth model.
B(3)=926.1B(3) = 926.1
Since Species B increases by a constant percent of 5%5\% each year, its population follows the exponential model B(t)=800(1.05)tB(t) = 800(1.05)^t. Substituting t=3t = 3 gives 800(1.05)3=800(1.157625)=926.1800(1.05)^3 = 800(1.157625) = 926.1.
3
Find the positive difference between the two populations and round to the nearest whole number.
154154
The positive difference is A(3)B(3)=1,080926.1=153.9|A(3) - B(3)| = |1,080 - 926.1| = 153.9. Rounding to the nearest whole number yields 154.

Key Concept

Distinguishing between linear models (constant rate of change per unit time) and exponential models (constant percent rate of change per unit time) to make projections.
Question 132Question

The table below shows the distribution of the number of goals scored by a soccer team in each of its 1515 games last season.

Goals ScoredNumber of Games
0033
1155
2244
3322
9911

Which of the following statements best describes how the mean and the median of the number of goals scored will change if the game with 99 goals is removed from the dataset?

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Answer: The mean value will be reduced, while the median value will not change.

Answer

The mean value will be reduced, while the median value will not change.
To find the effect of removing the game with 99 goals, we compare the mean and median before and after its removal. The initial dataset has 1515 games. The median is the 8th8\text{th} value, which is 11. The initial mean is (0×3+1×5+2×4+3×2+9×1)/15=28/151.87(0 \times 3 + 1 \times 5 + 2 \times 4 + 3 \times 2 + 9 \times 1) / 15 = 28/15 \approx 1.87. If the game with 99 goals is removed, there are 1414 games remaining. The new median is the average of the 7th7\text{th} and 8th8\text{th} values, which are both 11, so the median remains 11. The new mean is (0×3+1×5+2×4+3×2)/14=19/141.36(0 \times 3 + 1 \times 5 + 2 \times 4 + 3 \times 2) / 14 = 19/14 \approx 1.36. The mean value decreases (is reduced) while the median value remains the same.

Step-by-Step Solution

1
Calculate the initial mean and median of the dataset of 1515 games.
The initial mean is approximately 1.871.87 and the initial median is 11.
To establish the baseline values before removing any data.
2
Calculate the new mean and median of the dataset of 1414 games after removing the game with 99 goals.
The new mean is approximately 1.361.36 and the new median is 11.
To determine the values after the outlier is removed.
3
Compare the initial and new values for both the mean and median.
The mean decreases from approximately 1.871.87 to 1.361.36, while the median remains 11.
To select the statement that correctly describes the change in both statistical measures.

Key Concept

Effect of outliers on mean and median
Estimated Time:1m 30s
Question 133Question

The daily electricity consumption, in kilowatt-hours (kWh), of a household was recorded for 7 consecutive days: 1212, 1212, 1313, 1414, 1414, 1515, and 4545. If the household's electricity consumption of 45 kWh45\text{ kWh} on the seventh day is removed from the dataset, which of the following statements best describes the effect on the mean and the median of the dataset?

Show answer & explanation

Answer: The mean decreases by a greater amount than the median.

Answer

The mean decreases by a greater amount than the median.
The correct answer is correct because calculating the original mean yields 17.86 kWh\approx 17.86\text{ kWh} and the original median yields 14 kWh14\text{ kWh}. After removing the outlier (45 kWh45\text{ kWh}), the mean decreases to 13.33 kWh\approx 13.33\text{ kWh} (a change of 4.53 kWh4.53\text{ kWh}) and the median decreases to 13.5 kWh13.5\text{ kWh} (a change of 0.5 kWh0.5\text{ kWh}). Comparing these changes shows the mean decreased by a larger amount.

Step-by-Step Solution

1
Calculate the mean and median of the original 7-day dataset.
The original mean is 12+12+13+14+14+15+457=125717.86 kWh\frac{12 + 12 + 13 + 14 + 14 + 15 + 45}{7} = \frac{125}{7} \approx 17.86\text{ kWh}. The sorted dataset is 12,12,13,14,14,15,4512, 12, 13, 14, 14, 15, 45, so the median is the middle value, which is 14 kWh14\text{ kWh}.
This establishes baseline values for the two measures.
2
Calculate the mean and median after removing the outlier of 45 kWh45\text{ kWh}.
The new mean is 12+12+13+14+14+156=80613.33 kWh\frac{12 + 12 + 13 + 14 + 14 + 15}{6} = \frac{80}{6} \approx 13.33\text{ kWh}. The new sorted dataset is 12,12,13,14,14,1512, 12, 13, 14, 14, 15, so the median is the average of the two middle values: 13+142=13.5 kWh\frac{13 + 14}{2} = 13.5\text{ kWh}.
This provides the new values for comparison.
3
Compare the changes in the mean and the median.
The mean decreased by 17.8613.33=4.53 kWh17.86 - 13.33 = 4.53\text{ kWh}. The median decreased by 1413.5=0.5 kWh14 - 13.5 = 0.5\text{ kWh}. The decrease in the mean is greater.
This confirms the statement that describes the relative changes.

Key Concept

Effect of outliers on mean and median
Question 134Question

A researcher wants to estimate the total number of households in a city of 40,00040,000 households that own at least one hybrid vehicle. The researcher randomly selects a sample of households to contact for a survey. The survey has a response rate of 40%40\%. Of the households that responded, 15%15\% reported owning at least one hybrid vehicle. A follow-up study of a random sample of the non-respondents indicates that the proportion of non-respondents who own at least one hybrid vehicle is half the proportion of the respondents who do. Based on the results of the survey and the follow-up study, what is the estimated total number of households in the city that own at least one hybrid vehicle?

Show answer & explanation

Answer: 4200

Answer

The estimated total number of households in the city that own at least one hybrid vehicle is 4,200.
The correct answer of 4,200 is found by dividing the population of 40,000 households into two strata: respondents (40%, or 16,000 households) and non-respondents (60%, or 24,000 households). The number of hybrid-owning households among respondents is estimated as 15% of 16,000, which is 2,400. The proportion of hybrid owners among non-respondents is half of the respondents' rate, or 7.5%. The number of hybrid-owning households among non-respondents is estimated as 7.5% of 24,000, which is 1,800. Summing these estimates yields 2,400 + 1,800 = 4,200.

Step-by-Step Solution

1
Calculate the size of the respondent and non-respondent strata in the population.
Respondent stratum: 16,00016,000 households; Non-respondent stratum: 24,00024,000 households.
Since the survey's response rate is 40%40\%, we estimate that 40%40\% of the 40,00040,000 households are potential respondents, and the remaining 60%60\% (24,00024,000 households) are potential non-respondents.
2
Determine the proportion of hybrid vehicle owners in each stratum.
Respondent proportion: 15%15\% (or 0.150.15); Non-respondent proportion: 7.5%7.5\% (or 0.0750.075).
The respondent proportion is given as 15%15\%. The follow-up study indicates the non-respondent proportion is half of the respondent proportion, which is 12×15%=7.5%\frac{1}{2} \times 15\% = 7.5\%.
3
Calculate the estimated number of households owning a hybrid vehicle in each stratum and sum them.
2,400+1,800=4,2002,400 + 1,800 = 4,200 households.
Multiply each stratum size by its respective proportion: 16,000×0.15=2,40016,000 \times 0.15 = 2,400 and 24,000×0.075=1,80024,000 \times 0.075 = 1,800. Adding these gives the total estimate of 4,2004,200.

Key Concept

Generalizing from stratified random samples to estimate population parameters while accounting for non-response bias.
Question 135Question

An agricultural scientist is tracking the biomass, in grams, of two different plant species under controlled conditions. Species A starts with a biomass of 250250 grams and increases by 1212 grams each day. Species B starts with a biomass of 180180 grams and its biomass increases exponentially by a constant daily percentage. On day 55, the biomass of Species A and Species B is equal. What is the daily percentage increase in the biomass of Species B, to the nearest tenth of a percent?

Show answer & explanation

Answer: 11.5%11.5\%

Answer

The correct answer is 11.5%11.5\%.
The correct answer is 11.5%11.5\%. First, find the biomass of Species A on day 55 using the linear equation 250+12(5)=310250 + 12(5) = 310 grams. Because the biomass of both species is equal on day 55, set up the exponential equation for Species B as 180(1+r)5=310180(1 + r)^5 = 310, where rr is the daily rate of increase. Divide both sides by 180180 to get (1+r)51.7222(1 + r)^5 \approx 1.7222. Taking the fifth root of both sides yields 1+r1.11481 + r \approx 1.1148, which means r0.1148r \approx 0.1148, or 11.5%11.5\%.

Step-by-Step Solution

1
Calculate the biomass of Species A on day 55.
The biomass of Species A on day 55 is 250+12(5)=310250 + 12(5) = 310 grams.
This establishes the common biomass value that both species reach on day 55 using the linear growth model.
2
Set up the exponential growth equation for Species B.
The equation is 180(1+r)5=310180(1 + r)^5 = 310, where rr is the daily growth rate.
Species B grows exponentially, starting at 180180 grams and reaching 310310 grams on day 55.
3
Solve for the daily growth rate, rr.
(1+r)5=3101801.7222(1 + r)^5 = \frac{310}{180} \approx 1.7222, which yields 1+r(1.7222)1/51.11481 + r \approx (1.7222)^{1/5} \approx 1.1148, so r0.1148r \approx 0.1148 or 11.5%11.5\%.
Isolating rr by taking the fifth root of both sides gives the daily percentage increase.

Key Concept

Linear vs. Exponential Growth Models
Question 136Question

An online streaming service tracks the number of subscribers in two regions, Region X and Region Y. At the beginning of 2020 (t=0t = 0), Region X had 12,00012,000 subscribers, and the number of subscribers in Region X increased by a constant amount of 2,5002,500 each year. Region Y had 8,0008,000 subscribers at the beginning of 2020, and the number of subscribers in Region Y increased by a constant 15%15\% each year. What is the positive difference between the number of subscribers in Region X and the number of subscribers in Region Y at the beginning of 2022 (t=2t = 2)?

Show answer & explanation

Answer: 6420

Answer

The positive difference between the subscriber counts in Region X and Region Y at the beginning of 2022 is 6,4206,420.
To find the positive difference, we first calculate the subscriber counts for both regions at t=2t = 2. Region X grows linearly at a constant rate of 2,5002,500 subscribers per year, so its population at t=2t = 2 is 12,000+2,500(2)=17,00012,000 + 2,500(2) = 17,000. Region Y grows exponentially at a constant rate of 15%15\% per year, so its population at t=2t = 2 is 8,000×(1.15)2=10,5808,000 \times (1.15)^2 = 10,580. The positive difference between the subscriber counts is 17,00010,580=6,42017,000 - 10,580 = 6,420.

Step-by-Step Solution

1
Calculate the subscriber count for Region X at t=2t = 2.
17,00017,000
Since Region X grows linearly by a constant amount of 2,5002,500 subscribers per year, the number of subscribers at t=2t = 2 is given by 12,000+2,500(2)=17,00012,000 + 2,500(2) = 17,000.
2
Calculate the subscriber count for Region Y at t=2t = 2.
10,58010,580
Since Region Y grows exponentially by a constant rate of 15%15\% per year, the number of subscribers at t=2t = 2 is given by 8,000×(1.15)2=10,5808,000 \times (1.15)^2 = 10,580.
3
Calculate the positive difference between the two subscriber counts.
6,4206,420
Subtract the smaller subscriber count from the larger subscriber count: 17,00010,580=6,42017,000 - 10,580 = 6,420.

Key Concept

Distinguishing between linear growth (constant rate of change per unit of time) and exponential growth (constant percent rate of change per unit of time) to solve real-world problems.
Question 137Question

A county health department is evaluating a new public health program designed to lower blood pressure among residents with hypertension. The county has 120,000120,000 adult residents, of whom 30,00030,000 have been diagnosed with hypertension. The department selects a random sample of 400400 adults diagnosed with hypertension from a list of patients at a major county clinic to participate in the program. After six months, 280280 of the participants show a significant reduction in blood pressure. Which of the following is the most appropriate conclusion?

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Answer: The program is likely to be associated with a significant reduction in blood pressure among adult residents with hypertension who are patients at this major county clinic.

Answer

The program is likely to be associated with a significant reduction in blood pressure among adult residents with hypertension who are patients at this major county clinic.
The correct answer is correct because the sample of participants was randomly selected from patients diagnosed with hypertension at a specific major county clinic. Therefore, the findings can be generalized to the population of patients with hypertension at this specific clinic.

Step-by-Step Solution

1
Identify the population from which the sample was selected.
The sample of 400400 adults was randomly selected from the patients diagnosed with hypertension at a single major county clinic.
Results of a study can only be generalized to the population from which the sample was randomly selected.
2
Determine the limits of generalization for the study's findings.
Because the sample was only drawn from patients at this specific clinic, the findings cannot be generalized to all adults in the county or even to all adults in the county with hypertension.
Patients at one clinic may not be representative of the entire county's population or all individuals with hypertension in the county.
3
Evaluate the options based on these generalization rules and mathematical accuracy.
The option proposing a significant reduction in blood pressure for patients at this clinic is valid. The options generalizing to the entire county or all hypertensive county residents are invalid due to sampling bias. Stating that exactly 2,1002,100 residents would benefit is both an invalid generalization and mathematically incorrect since 70%70\% of 30,00030,000 is 21,00021,000, not 2,1002,100.
This confirms the correct option matches the sampling frame and avoids unwarranted extrapolation and arithmetic errors.

Key Concept

Generalization in observational studies and surveys requires that the sample be randomly selected from the target population.
Question 138Question

A set of 5 positive integers has a mean of 12, a median of 10, and a unique mode of 8. What is the maximum possible value of the largest integer in this set?

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Answer: 23

Answer

The maximum possible value of the largest integer in the set is 23.
To find the maximum possible value of the largest integer in a set of 5 positive integers with a mean of 12, a median of 10, and a unique mode of 8: First, calculate the total sum of the integers, which is 12×5=6012 \times 5 = 60. Let the sorted integers be x1x2x3x4x5x_1 \le x_2 \le x_3 \le x_4 \le x_5. The median is the middle term, so x3=10x_3 = 10. Since 8 is the unique mode and is less than the median, it must appear at least twice in the first two slots, so x1=8x_1 = 8 and x2=8x_2 = 8. The sum of the remaining two integers is 60(8+8+10)=3460 - (8 + 8 + 10) = 34. To maximize the largest integer x5x_5, we must minimize x4x_4. Since the integers are sorted, x4x3=10x_4 \ge x_3 = 10. However, if x4=10x_4 = 10, then 10 would appear twice, making it a second mode alongside 8, which violates the unique mode condition. Thus, the smallest possible integer value for x4x_4 is 11, which gives a maximum possible value of 3411=2334 - 11 = 23 for the largest integer.

Step-by-Step Solution

1
Calculate the sum of the five integers.
The sum of the five integers is 60.
Since the mean of 5 numbers is 12, their sum is 12×5=6012 \times 5 = 60.
2
Set up the ordered list of integers and identify the median.
For integers x1x2x3x4x5x_1 \le x_2 \le x_3 \le x_4 \le x_5, the median is x3=10x_3 = 10.
The median of 5 numbers in ordered sequence is the third number.
3
Determine the values of the first two integers using the mode constraint.
x1=8x_1 = 8 and x2=8x_2 = 8.
The mode must be unique and equal to 8. Since 8 is less than the median 10, 8 must occupy the first two spots to appear more than once.
4
Write the sum equation for the remaining unknown integers.
x4+x5=34x_4 + x_5 = 34.
Since the total sum is 60, we subtract the known values: 60(8+8+10)=3460 - (8 + 8 + 10) = 34.
5
Minimize the fourth integer to maximize the fifth integer while keeping the unique mode of 8.
The minimum value for x4x_4 is 11, which gives the maximum value for x5x_5 as 23.
We must have x410x_4 \ge 10 due to ordering. If x4=10x_4 = 10, 10 would be a mode, so the minimum valid integer for x4x_4 is 11.

Key Concept

Using measures of center (mean, median) and measures of frequency (mode) to determine constraints on individual data values in a data distribution.

Alternative Method

Instead of setting up inequalities, one can test integers starting from the maximum mathematical limit if there were no mode constraint (which is 24, since x410x_4 \ge 10, giving 602610=2460 - 26 - 10 = 24). Testing 24 yields the set {8, 8, 10, 10, 24}, which has two modes. The next highest value to test is 23, which yields the valid set {8, 8, 10, 11, 23}.
Estimated Time:1m 30s
Question 139Question

A sociologist is studying the print newspaper subscription habits of residents in a city. The table below shows the total number of households, the sample size, and the number of households in each sample that report subscribing to a print newspaper for the city's two districts.

DistrictTotal householdsSample sizeSubscribing households in sample
West10,00010,0002002003535
East14,00014,0002502506060

Based on the results of these samples, what is the estimated total number of households in the city that subscribe to a print newspaper?

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Answer: 5110

Answer

5110
To find the total estimated number of households in the city that subscribe to a print newspaper, we must estimate the subscriptions for each district separately and then sum them. For District West, the proportion of households subscribing is 35200=0.175\frac{35}{200} = 0.175. Multiplying this by the total number of households in District West (10,00010,000) gives an estimate of 1,7501,750 subscribing households. For District East, the proportion of households subscribing is 60250=0.24\frac{60}{250} = 0.24. Multiplying this by the total number of households in District East (14,00014,000) gives an estimate of 3,3603,360 subscribing households. Adding these two estimates together (1,750+3,3601,750 + 3,360) results in a total estimate of 5,1105,110 households.

Step-by-Step Solution

1
Calculate the estimated number of print newspaper subscriptions in District West.
1,750 households
The proportion of subscribing households in the District West sample is applied to the total number of households in District West.
2
Calculate the estimated number of print newspaper subscriptions in District East.
3,360 households
The proportion of subscribing households in the District East sample is applied to the total number of households in District East.
3
Find the total estimated number of subscribing households in the city.
5,110 households
Adding the estimates from both districts yields the overall population estimate.

Key Concept

Estimating population parameters from stratified random samples
Question 140Question

A scientist is monitoring the population of two different bacteria cultures, Culture A and Culture B, in a laboratory. The table below shows the cell counts of the two cultures at 11 hour and 33 hours after the start of the experiment (t=0t=0 hours).

Time (tt, hours)Culture A Cell CountCulture B Cell Count
11,2001,200
32,7002,700

It is known that the population of Culture A grows linearly, while the population of Culture B grows exponentially. If A0A_0 is the initial population of Culture A at t=0t=0 hours, and B0B_0 is the initial population of Culture B at t=0t=0 hours, what is the value of B0A0B_0 - A_0?

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Answer: 350

Answer

The correct difference between the initial population of Culture B and Culture A is 350.
To find the initial values, we must model both cultures. For the linear growth of Culture A, the population increases by a constant amount each hour. The change over two hours is 2,7001,200=1,5002,700 - 1,200 = 1,500 cells, which corresponds to a growth rate of 750750 cells per hour. Subtracting this hourly increase from the population at 11 hour (1,2001,200) gives an initial population A0=450A_0 = 450. For the exponential growth of Culture B, the population increases by a constant factor each hour. The ratio of the population at 33 hours to the population at 11 hour is 2,7001,200=2.25\frac{2,700}{1,200} = 2.25, which represents the growth factor squared (b2b^2). Taking the square root gives a growth factor of b=1.5b = 1.5 per hour. Dividing the population at 11 hour (1,2001,200) by this factor gives an initial population B0=800B_0 = 800. The value of B0A0B_0 - A_0 is 800450=350800 - 450 = 350.

Step-by-Step Solution

1
Find the constant rate of change and the initial value A0A_0 of the linear model (Culture A).
The hourly rate of change is m=2700120031=750m = \frac{2700 - 1200}{3 - 1} = 750 cells per hour. The initial population is A0=1200750(1)=450A_0 = 1200 - 750(1) = 450 cells.
Linear growth has a constant absolute increase per unit of time, modeled by A(t)=A0+mtA(t) = A_0 + m \cdot t.
2
Find the constant growth factor and the initial value B0B_0 of the exponential model (Culture B).
The growth factor squared is b2=27001200=2.25    b=1.5b^2 = \frac{2700}{1200} = 2.25 \implies b = 1.5. The initial population is B0=12001.51=800B_0 = \frac{1200}{1.5^1} = 800 cells.
Exponential growth has a constant multiplier per unit of time, modeled by B(t)=B0btB(t) = B_0 \cdot b^t.
3
Calculate the difference between the two initial values B0A0B_0 - A_0.
B0A0=800450=350B_0 - A_0 = 800 - 450 = 350.
The question asks for the value of the difference between the initial population of Culture B and the initial population of Culture A.

Key Concept

Linear and Exponential Growth
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