Statistics and Probability

158 questions

Question 41Question

Two candidates, Ada and Babatunde, independently sit for an aptitude test. The probability that Ada passes the test is 13\frac{1}{3} and the probability that Babatunde passes is 25\frac{2}{5}. What is the probability that at least one of them passes the test?

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Answer: 35\frac{3}{5}

Answer

The probability that at least one candidate passes the test is 35\frac{3}{5}.
For independent events, the probability of both occurring is given by P(AB)=P(A)P(B)=1325=215P(A \cap B) = P(A) \cdot P(B) = \frac{1}{3} \cdot \frac{2}{5} = \frac{2}{15}. Applying the addition law P(AB)=P(A)+P(B)P(AB)P(A \cup B) = P(A) + P(B) - P(A \cap B) yields 13+25215=915=35\frac{1}{3} + \frac{2}{5} - \frac{2}{15} = \frac{9}{15} = \frac{3}{5}. Alternatively, calculating 1P(neither passes)=1(113)(125)=1(2335)=125=351 - P(\text{neither passes}) = 1 - (1 - \frac{1}{3})(1 - \frac{2}{5}) = 1 - (\frac{2}{3} \cdot \frac{3}{5}) = 1 - \frac{2}{5} = \frac{3}{5} gives the identical correct outcome.

Step-by-Step Solution

1
Calculate the probability that both Ada and Babatunde pass the test.
P(AdaBabatunde)=13×25=215P(\text{Ada} \cap \text{Babatunde}) = \frac{1}{3} \times \frac{2}{5} = \frac{2}{15}
Since the two events are independent, the multiplication law of probability applies: P(AB)=P(A)×P(B)P(A \cap B) = P(A) \times P(B).
2
Apply the general addition law of probability to find the union of the two events.
P(AdaBabatunde)=P(Ada)+P(Babatunde)P(AdaBabatunde)P(\text{Ada} \cup \text{Babatunde}) = P(\text{Ada}) + P(\text{Babatunde}) - P(\text{Ada} \cap \text{Babatunde})
The probability of at least one event occurring corresponds to the union of the compound events.
3
Substitute the probabilities and solve for the outcome.
P(AdaBabatunde)=13+25215=5+6215=915=35P(\text{Ada} \cup \text{Babatunde}) = \frac{1}{3} + \frac{2}{5} - \frac{2}{15} = \frac{5 + 6 - 2}{15} = \frac{9}{15} = \frac{3}{5}
Find a common denominator (15) and simplify the resulting fraction to its lowest terms.

Key Concept

Probability Laws for Compound and Independent Events
Estimated Time:1m 30s
Question 42Question

In a telecommunications network, two independent relay switches, R1R_1 and R2R_2, operate during a data transmission. The probability that switch R1R_1 functions successfully is 0.800.80, and the probability that switch R2R_2 functions successfully is 0.750.75. What is the probability that at least one of the two switches functions successfully during the transmission?

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Answer: 0.95

Answer

The probability that at least one switch functions successfully is 0.95.
Since the two switches operate independently, the probability of both failing is the product of their individual failure probabilities: (10.80)×(10.75)=0.20×0.25=0.05(1 - 0.80) \times (1 - 0.75) = 0.20 \times 0.25 = 0.05. Therefore, the probability that at least one switch functions successfully is 10.05=0.951 - 0.05 = 0.95. Alternatively, using the addition law for independent events: P(R1R2)=P(R1)+P(R2)P(R1R2)=0.80+0.75(0.80×0.75)=1.550.60=0.95P(R_1 \cup R_2) = P(R_1) + P(R_2) - P(R_1 \cap R_2) = 0.80 + 0.75 - (0.80 \times 0.75) = 1.55 - 0.60 = 0.95.

Step-by-Step Solution

1
Determine the probabilities of individual switch failure.
P(R_1') = 0.20 and P(R_2') = 0.25
The probability of an event failing is the complement of its success probability: P(E') = 1 - P(E).
2
Compute the probability that both switches fail simultaneously.
P(R_1' ∩ R_2') = 0.20 × 0.25 = 0.05
Since the switches operate independently, the multiplication law for independent events applies: P(A ∩ B) = P(A) × P(B).
3
Calculate the probability that at least one switch functions successfully.
P(at least one) = 1 - 0.05 = 0.95
The complement of 'neither switch functioning' is 'at least one switch functioning'.

Key Concept

Probability laws for independent compound events and the complement rule
Estimated Time:1m 30s
Question 43Question

In how many different ways can 55 boys and 33 girls be seated in a straight row such that all 33 girls must sit together?

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Answer: 4320

Answer

The total number of ways to seat 55 boys and 33 girls in a row such that all 33 girls sit together is 43204320.
To arrange 55 boys and 33 girls so that the girls are always together, treat the 33 girls as 11 single unit. Combined with the 55 boys, there are 66 units to arrange in a straight line, which can be done in 6!=7206! = 720 ways. Within their group, the 33 girls can be arranged in 3!=63! = 6 ways. By the multiplication principle, the total number of seating arrangements is 720×6=4320720 \times 6 = 4320.

Step-by-Step Solution

1
Group the restricted items into a single block
The 33 girls form 11 unit. Combined with the 55 boys, there are 5+1=65 + 1 = 6 units to arrange.
Since all 33 girls must sit together, treating them as a single block ensures they are not separated.
2
Calculate the linear arrangements of the combined units
The 66 units can be arranged in 6!=7206! = 720 ways.
The number of distinct ways to arrange nn items in a line is n!n!.
3
Calculate internal arrangements of the girls' block
The 33 girls can be arranged among themselves in 3!=63! = 6 ways.
The 33 girls inside the block are distinct individuals and can swap positions.
4
Apply the fundamental counting principle
Total arrangements = 6!×3!=720×6=43206! \times 3! = 720 \times 6 = 4320.
The total number of arrangements is the product of external block arrangements and internal block arrangements.

Key Concept

Permutations with grouping constraints (string method)
Question 44Question

The mean of five numbers arranged in ascending order is 2828. The mean of the first three numbers is 2222, while the mean of the last three numbers is 3636. Find the median of these five numbers.

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Answer: 34

Answer

The median of the five numbers is 3434.
For five numbers ordered from smallest to largest (x1,x2,x3,x4,x5x_1, x_2, x_3, x_4, x_5), the median is the middle value x3x_3. The sum of all five numbers is 5×28=1405 \times 28 = 140. The sum of the first three numbers is x1+x2+x3=3×22=66x_1 + x_2 + x_3 = 3 \times 22 = 66, and the sum of the last three numbers is x3+x4+x5=3×36=108x_3 + x_4 + x_5 = 3 \times 36 = 108. Adding these two partial sums gives (x1+x2+x3+x4+x5)+x3=66+108=174(x_1 + x_2 + x_3 + x_4 + x_5) + x_3 = 66 + 108 = 174. Substituting the overall sum of 140140 into the equation yields 140+x3=174140 + x_3 = 174, which simplifies to x3=34x_3 = 34.

Step-by-Step Solution

1
Calculate the sum of all five numbers.
Sum of all 5 numbers is 5×28=1405 \times 28 = 140.
The total sum of a set of data equals the number of items multiplied by the mean.
2
Calculate the partial sums of the first three and last three numbers.
First three numbers sum to 3×22=663 \times 22 = 66; last three numbers sum to 3×36=1083 \times 36 = 108.
Multiplying each sub-group mean by the count of numbers in that sub-group yields the sub-group sum.
3
Set up an equation relating the partial sums to the total sum and the median.
Adding the partial sums counts the third number (median) twice: 66+108=140+median66 + 108 = 140 + \text{median}.
In an ordered set of 5 numbers, the 3rd term is the median and is shared by both the first three and last three elements.
4
Solve for the median.
Median =174140=34= 174 - 140 = 34.
Subtracting the total sum from the combined partial sums isolates the overlapping median value.

Key Concept

Measures of Central Tendency for Ungrouped Data (Relationship between sub-group means, total sum, and median in ordered data)
Question 45Question

The masses, in kilograms, of five wooden crates stored in a warehouse are 33, 77, 88, 1010, and 1212. What is the variance of the masses of these crates?

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Answer: 9.29.2

Answer

The variance of the masses is 9.29.2.
The mean of the numbers is 88. The squared deviations are 25,1,0,4,25, 1, 0, 4, and 1616. The sum of these squared deviations is 4646. Dividing by the count of numbers (55) gives 9.29.2.

Step-by-Step Solution

1
Calculate the mean (xˉ\bar{x}) of the dataset.
xˉ=3+7+8+10+125=405=8\bar{x} = \frac{3 + 7 + 8 + 10 + 12}{5} = \frac{40}{5} = 8
The mean is required to find individual deviations.
2
Compute the deviation of each observation from the mean, (xxˉ)(x - \bar{x}).
38=53 - 8 = -5, 78=17 - 8 = -1, 88=08 - 8 = 0, 108=210 - 8 = 2, 128=412 - 8 = 4
Deviations quantify how far each data point lies from the central mean.
3
Square each deviation, (xxˉ)2(x - \bar{x})^2.
(5)2=25(-5)^2 = 25, (1)2=1(-1)^2 = 1, 02=00^2 = 0, 22=42^2 = 4, 42=164^2 = 16
Squaring eliminates negative signs and weights larger deviations.
4
Sum the squared deviations and divide by the total number of observations N=5N = 5.
Variance σ2=25+1+0+4+165=465=9.2\sigma^2 = \frac{25 + 1 + 0 + 4 + 16}{5} = \frac{46}{5} = 9.2
Variance is defined as the mean of the squared deviations.

Key Concept

Variance of Ungrouped Data
Estimated Time:1m 30s
Question 46Question

A fruit vendor has 77 distinct types of fresh fruits on display. A customer wants to buy a gift basket containing exactly 44 different types of fruits. How many different combinations of fruits can the customer choose?

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Answer: 35

Answer

The customer can choose the fruits in 35 different ways.
The number of ways to choose r=4r = 4 items from n=7n = 7 distinct items without regard to order is given by 7C4=7!4!3!=2106=35^7C_4 = \frac{7!}{4!3!} = \frac{210}{6} = 35.

Step-by-Step Solution

1
Identify total elements (nn) and selected subset size (rr).
n=7n = 7 and r=4r = 4.
Since the selection order inside the fruit basket does not matter, combinations (nCrnCr) must be used.
2
Substitute values into the combination formula nCr=n!r!(nr)!^nC_r = \frac{n!}{r!(n-r)!}.
7C4=7!4!(74)!=7!4!3!^7C_4 = \frac{7!}{4!(7-4)!} = \frac{7!}{4!3!}.
This evaluates the total ways to choose 4 items from 7 without repetition or ordering.
3
Simplify the factorials and compute the numerical result.
7×6×53×2×1=35\frac{7 \times 6 \times 5}{3 \times 2 \times 1} = 35.
Canceling out 4!4! from numerator and denominator gives (7×6×5)/6=35(7 \times 6 \times 5) / 6 = 35.

Key Concept

Combinations (nCrnCr)
Estimated Time:45s
Question 47Question

The arithmetic mean of five observations 11, 33, xx, 99, and 1212 is 66. What is the variance of this set of observations?

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Answer: 1616

Answer

The variance of the set of observations is 1616.
First, the missing value is found by equating the sum of the five numbers to 5×6=305 \times 6 = 30, which gives x=5x = 5. The data set is 1,3,5,9,121, 3, 5, 9, 12. The deviations from the mean 66 are 5,3,1,3,6-5, -3, -1, 3, 6, and their squares are 25,9,1,9,3625, 9, 1, 9, 36. Summing these squared deviations gives 8080. Dividing by the number of observations (55) yields the variance of 1616.

Step-by-Step Solution

1
Find the missing value xx using the arithmetic mean formula.
x=5x = 5
The mean of N=5N = 5 numbers is xˉ=6\bar{x} = 6, so the total sum is 5×6=305 \times 6 = 30. Summing the known numbers gives 1+3+x+9+12=30    25+x=30    x=51 + 3 + x + 9 + 12 = 30 \implies 25 + x = 30 \implies x = 5.
2
Calculate the deviations (xixˉ)(x_i - \bar{x}) for each data value from the mean xˉ=6\bar{x} = 6.
Deviations are 5,3,1,3,6-5, -3, -1, 3, 6
Subtracting 66 from each value (1,3,5,9,12)(1, 3, 5, 9, 12) gives 16=51-6=-5, 36=33-6=-3, 56=15-6=-1, 96=39-6=3, and 126=612-6=6.
3
Square each deviation.
Squared deviations are 25,9,1,9,3625, 9, 1, 9, 36
Squaring each deviation yields (5)2=25(-5)^2 = 25, (3)2=9(-3)^2 = 9, (1)2=1(-1)^2 = 1, 32=93^2 = 9, and 62=366^2 = 36.
4
Compute the population variance σ2=(xixˉ)2N\sigma^2 = \frac{\sum (x_i - \bar{x})^2}{N}.
σ2=16\sigma^2 = 16
The sum of squared deviations is 25+9+1+9+36=8025 + 9 + 1 + 9 + 36 = 80. Dividing by N=5N = 5 gives 805=16\frac{80}{5} = 16.

Key Concept

Variance of Ungrouped Data with a Missing Observation
Question 48Question

The daily temperature readings, in degrees Celsius, recorded over four consecutive days are 1010, 1212, 1414, and 1616. What is the mean deviation of these temperatures?

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Answer: 2

Answer

The mean deviation of the temperatures is 2 °C.
To find the mean deviation, first calculate the mean of the data values: (10 + 12 + 14 + 16) / 4 = 13. Next, find the absolute difference of each value from the mean: |10 - 13| = 3, |12 - 13| = 1, |14 - 13| = 1, and |16 - 13| = 3. Finally, average these absolute differences: (3 + 1 + 1 + 3) / 4 = 8 / 4 = 2.

Step-by-Step Solution

1
Calculate the arithmetic mean (average) of the data set
\(\bar{x} = \frac{10 + 12 + 14 + 16}{4} = 13\)
Mean deviation measures dispersion relative to the mean, so the mean must be calculated first.
2
Compute the absolute deviation of each value from the mean
\(|10 - 13| = 3\), \(|12 - 13| = 1\), \(|14 - 13| = 1\), \(|16 - 13| = 3\)
Mean deviation requires non-negative distances of each observation from the mean.
3
Sum the absolute deviations and divide by the sample size (N = 4)
\(\text{Mean Deviation} = \frac{3 + 1 + 1 + 3}{4} = \frac{8}{4} = 2\)
The mean deviation is the average of the absolute deviations.

Key Concept

Mean Deviation for Ungrouped Data
Question 49Question

A football coach records the number of goals scored by a team in six consecutive matches as 1,3,4,6,7,1, 3, 4, 6, 7, and 99. What is the variance of the goals scored?

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Answer: 7

Answer

The variance of the goals scored is 7.
To find the variance of the goals scored, first calculate the mean: xˉ=1+3+4+6+7+96=306=5\bar{x} = \frac{1+3+4+6+7+9}{6} = \frac{30}{6} = 5. Next, determine the sum of the squared deviations from the mean: (15)2+(35)2+(45)2+(65)2+(75)2+(95)2=16+4+1+1+4+16=42(1-5)^2 + (3-5)^2 + (4-5)^2 + (6-5)^2 + (7-5)^2 + (9-5)^2 = 16 + 4 + 1 + 1 + 4 + 16 = 42. Dividing this total by the number of data values (N=6N = 6) yields 426=7\frac{42}{6} = 7.

Step-by-Step Solution

1
Calculate the mean of the dataset
\bar{x} = 5
The mean is needed as the reference point for computing deviations.
2
Compute the squared deviation of each data point from the mean
Squared deviations are 16, 4, 1, 1, 4, and 16
Variance measures the average squared distance from the mean.
3
Sum the squared deviations and divide by the number of observations N = 6
Variance = 7
The formula for variance of ungrouped data is \sigma^2 = \frac{\sum (x - \bar{x})^2}{N}.

Key Concept

Variance of Ungrouped Data
Question 50Question

Calculate the total number of distinct four-digit numbers that can be formed using the digits 1,2,3,4,5,6,1, 2, 3, 4, 5, 6, and 77 without repetition, such that the resulting number is divisible by either 44 or 55.

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Answer: 320

Answer

The total number of such four-digit numbers is 320320.
The total number of valid four-digit numbers is found by adding the count of numbers divisible by 55 (120120) to the count of numbers divisible by 44 (200200). Since a number ending in 55 is odd, it cannot be divisible by 44, making the two conditions mutually exclusive. Thus, the total count is 120+200=320120 + 200 = 320.

Step-by-Step Solution

1
Calculate the number of four-digit numbers divisible by 55.
For a number to be divisible by 55, its units digit must be 55 (since 00 is not available). There is 11 choice for the units digit. The remaining 33 positions are filled from the remaining 66 available digits in 6P3=6×5×4=120^{6}P_{3} = 6 \times 5 \times 4 = 120 ways.
Divisibility by 55 requires the last digit to be 55.
2
Calculate the number of four-digit numbers divisible by 44.
A number is divisible by 44 if its last two digits form a multiple of 44. Using distinct digits from {1,2,3,4,5,6,7}\{1, 2, 3, 4, 5, 6, 7\}, the valid two-digit endings are 12,16,24,32,36,52,56,64,72,12, 16, 24, 32, 36, 52, 56, 64, 72, and 7676 (1010 valid pairs). For each pair, the first two positions are filled from the remaining 55 digits in 5P2=5×4=20^{5}P_{2} = 5 \times 4 = 20 ways. Thus, total ways = 10×20=20010 \times 20 = 200.
Divisibility by 44 depends entirely on the last two digits.
3
Check for overlap (numbers divisible by both 44 and 55).
A number divisible by 55 must end in 55, which is an odd digit. All multiples of 44 must end in an even digit. Hence, no number is divisible by both 44 and 55 in this set. The overlap is 00.
The two events are mutually exclusive.
4
Apply the addition principle of counting.
Total = 120+2000=320120 + 200 - 0 = 320.
Add the counts of the two mutually exclusive sets.

Key Concept

Restricted Permutations and Mutually Exclusive Events
Estimated Time:1m 30s
Question 51Question

The heights (in cm) of a seedling recorded over five consecutive weeks are 99, 1313, 1515, 1717, and 2121. What is the standard deviation of the heights?

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Answer: 4

Answer

The standard deviation of the seedling heights is 4 cm.
To find the standard deviation, first compute the mean: (9 + 13 + 15 + 17 + 21) / 5 = 15. Next, calculate the sum of squared deviations: (-6)^2 + (-2)^2 + 0^2 + 2^2 + 6^2 = 36 + 4 + 0 + 4 + 36 = 80. Divide by 5 to find the variance of 16. Finally, taking the square root of 16 gives the standard deviation of 4 cm.

Step-by-Step Solution

1
Calculate the mean of the data values
Mean = 15 cm
The mean is necessary to calculate the deviations of each data point.
2
Calculate the squared deviations from the mean
Squared deviations are 36, 4, 0, 4, and 36 (sum = 80)
Variance measures the average of squared deviations from the mean.
3
Calculate the population variance
Variance = 80 / 5 = 16
Dividing the sum of squared deviations by N gives the variance.
4
Calculate the standard deviation
Standard deviation = sqrt(16) = 4 cm
The standard deviation is the square root of the variance.

Key Concept

Standard Deviation of Ungrouped Data
Question 52Question

Find the number of distinct arrangements of the letters of the word PARALLEL\text{PARALLEL} such that no two letters ’L’\text{'L'} are adjacent.

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Answer: 1200

Answer

1200
To ensure no two letters 'L' are adjacent, we use the gap method. First, arrange the 5 non-L letters (P, A, R, A, E). Because 'A' repeats twice, there are 5! / 2! = 60 distinct arrangements. These 5 letters form 6 available gaps (including the ends). Selecting 3 of these 6 gaps to insert the 3 identical 'L's can be done in C(6, 3) = 20 ways. Multiplying these gives 60 × 20 = 1200 valid arrangements.

Step-by-Step Solution

1
Count the frequency of each letter in the word PARALLEL.
The word has 8 letters: 1 P, 2 A's, 1 R, 3 L's, and 1 E.
Recognizing repeated elements is essential for permutations with duplicates.
2
Arrange the non-restricted letters (P, A, R, A, E).
Number of arrangements = 5! / 2! = 60.
The letter 'A' is repeated twice, so we divide 5! by 2!.
3
Calculate the number of available gaps for placing the 3 'L's so that no two are adjacent.
5 arranged letters create 6 gap positions. Choosing 3 gaps gives C(6, 3) = (6 × 5 × 4) / (3 × 2 × 1) = 20 ways.
Placing at most one 'L' per gap guarantees that no two 'L's will be adjacent.
4
Multiply the number of arrangements of non-L letters by the gap choices.
Total arrangements = 60 × 20 = 1200.
By the fundamental counting principle, total arrangements equal the product of independent choices.

Key Concept

Permutations with repeated elements and non-adjacency constraints using the Gap Method
Estimated Time:1m 30s
Question 53Question

A set of six numbers arranged in ascending order is given as 3,8,x,14,y,253, 8, x, 14, y, 25. If the median of the data set is 1111 and its arithmetic mean is 1313, what is the value of yy?

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Answer: 2020

Answer

The value of yy is 2020.
The median of an even number of values arranged in order is the average of the two central terms, which gives x+142=11\frac{x + 14}{2} = 11, solving to x=8x = 8. Since the mean of the six numbers is 1313, their total sum is 6×13=786 \times 13 = 78. Adding all terms gives 3+8+8+14+y+25=58+y=783 + 8 + 8 + 14 + y + 25 = 58 + y = 78, which yields y=20y = 20.

Step-by-Step Solution

1
Find the value of xx using the median of the six ordered numbers.
x+142=11    x+14=22    x=8\frac{x + 14}{2} = 11 \implies x + 14 = 22 \implies x = 8
For an even number of observations (n=6n = 6), the median is the average of the 3rd term (xx) and 4th term (1414).
2
Calculate the required total sum of all six numbers using the given mean.
Total Sum=6×13=78\text{Total Sum} = 6 \times 13 = 78
The mean of nn numbers is equal to the sum of the numbers divided by nn.
3
Sum all six terms and solve for yy.
3+8+8+14+y+25=78    58+y=78    y=203 + 8 + 8 + 14 + y + 25 = 78 \implies 58 + y = 78 \implies y = 20
Substitute x=8x = 8 into the dataset and set the sum of all elements equal to 7878.

Key Concept

Measures of Central Tendency for Ungrouped Data
Question 54Question

How many distinct five-digit even numbers greater than 50,00050,000 can be formed using the digits 2,3,5,6,7,2, 3, 5, 6, 7, and 88 if no digit may be repeated in any number?

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Answer: 240

Answer

The total number of distinct five-digit even numbers greater than 50,000 is 240.
The correct total is 240. Because the first digit requirement (greater than 50,000 requires 5, 6, 7, or 8) and the last digit requirement (even requires 2, 6, or 8) share common elements (6 and 8), the problem must be split into two mutually exclusive cases: when the first digit is odd (2 choices for d1d_1, 3 for d5d_5, and 4P3=24^4P_3 = 24 for the middle digits, giving 2×3×24=1442 \times 3 \times 24 = 144) and when the first digit is even (2 choices for d1d_1, 2 for d5d_5, and 4P3=24^4P_3 = 24 for the middle digits, giving 2×2×24=962 \times 2 \times 24 = 96). Adding these yields 144+96=240144 + 96 = 240.

Step-by-Step Solution

1
Identify constraints on the positions of a five-digit number d1d2d3d4d5d_1 d_2 d_3 d_4 d_5.
For the number to be greater than 50,000, d1{5,6,7,8}d_1 \in \{5, 6, 7, 8\}. For the number to be even, d5{2,6,8}d_5 \in \{2, 6, 8\}.
The first digit determines the magnitude and the last digit determines parity.
2
Analyze Case 1 where the first digit d1d_1 is odd (55 or 77).
There are 2 choices for d1d_1. All 3 even digits remain available for d5d_5 (3 choices). The remaining 3 middle positions (d2,d3,d4d_2, d_3, d_4) can be arranged from the 4 remaining unused digits in 4P3=24^4P_3 = 24 ways. Total for Case 1 = 2×3×24=1442 \times 3 \times 24 = 144.
Choosing an odd first digit does not reduce the pool of available even digits for the units position.
3
Analyze Case 2 where the first digit d1d_1 is even (66 or 88).
There are 2 choices for d1d_1. Since one even digit is used in d1d_1, 2 even digits remain for d5d_5 (2 choices). The 3 middle positions are filled from the 4 remaining digits in 4P3=24^4P_3 = 24 ways. Total for Case 2 = 2×2×24=962 \times 2 \times 24 = 96.
Selecting an even digit for the ten-thousands place directly reduces the available choices for the units place.
4
Sum the possibilities from both mutually exclusive cases.
Total valid numbers = 144+96=240144 + 96 = 240.
Applying the addition principle of counting over disjoint cases.

Key Concept

Conditional permutations with non-disjoint position restrictions
Question 55Question

The table below shows the frequency distribution of marks obtained by a group of students in a short test:

Mark (xx)1234
Frequency (ff)2332

What is the mean deviation of the distribution?

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Answer: 0.90.9

Answer

The mean deviation of the distribution is 0.90.9.
The mean of the data is xˉ=2510=2.5\bar{x} = \frac{25}{10} = 2.5. Calculating the sum of weighted absolute deviations yields 2(1.5)+3(0.5)+3(0.5)+2(1.5)=9.02(1.5) + 3(0.5) + 3(0.5) + 2(1.5) = 9.0. Dividing by total frequency 1010 gives the mean deviation as 0.90.9.

Step-by-Step Solution

1
Calculate the mean (xˉ\bar{x}) of the frequency distribution.
f=2+3+3+2=10\sum f = 2 + 3 + 3 + 2 = 10, fx=(2×1)+(3×2)+(3×3)+(2×4)=2+6+9+8=25\sum fx = (2 \times 1) + (3 \times 2) + (3 \times 3) + (2 \times 4) = 2 + 6 + 9 + 8 = 25. Therefore, xˉ=2510=2.5\bar{x} = \frac{25}{10} = 2.5.
The mean is required to determine the deviations of each score value.
2
Find the absolute deviation xxˉ|x - \bar{x}| for each score value.
For x=1x = 1: 12.5=1.5|1 - 2.5| = 1.5; for x=2x = 2: 22.5=0.5|2 - 2.5| = 0.5; for x=3x = 3: 32.5=0.5|3 - 2.5| = 0.5; for x=4x = 4: 42.5=1.5|4 - 2.5| = 1.5.
Mean deviation measures average distance from the mean, ignoring signs.
3
Multiply each absolute deviation by its corresponding frequency and sum them.
fxxˉ=(2×1.5)+(3×0.5)+(3×0.5)+(2×1.5)=3+1.5+1.5+3=9.0\sum f|x - \bar{x}| = (2 \times 1.5) + (3 \times 0.5) + (3 \times 0.5) + (2 \times 1.5) = 3 + 1.5 + 1.5 + 3 = 9.0.
Frequencies reflect how many times each deviation occurs in the dataset.
4
Compute the mean deviation by dividing the weighted sum by the total frequency f\sum f.
\text{Mean Deviation} = \frac{\sum f|x - \bar{x}|}{\sum f} = \frac{9.0}{10} = 0.9.
The mean deviation is the average of these absolute deviations across all observations.

Key Concept

Mean Deviation for Discrete Frequency Distribution
Question 56Question

In a science competition, 33 distinct prizes (first, second, and third place) are to be awarded to 33 different students chosen from a group of 55 finalists. In how many different ways can these 33 prizes be awarded?

Show answer & explanation

Answer: 60

Answer

60 ways
Because the prizes are distinct, the order in which the finalists are selected matters. Calculating the number of arrangements of 33 students from 55 candidates is given by 5P3=5×4×3=60^{5}P_{3} = 5 \times 4 \times 3 = 60.

Step-by-Step Solution

1
Determine if order matters
Since the prizes are distinct (1st, 2nd, and 3rd place), the order of assignment matters, making this a permutation problem.
Assigning distinct positions to individuals requires calculating permutations rather than combinations.
2
Apply the permutation formula nPr=n!(nr)!^{n}P_{r} = \frac{n!}{(n-r)!}
5P3=5!(53)!=5!2!^{5}P_{3} = \frac{5!}{(5-3)!} = \frac{5!}{2!}
There are 55 total candidates (n=5n = 5) and 33 positions to fill (r=3r = 3).
3
Calculate the numeric value
5P3=5×4×3=60^{5}P_{3} = 5 \times 4 \times 3 = 60
Canceling 2!2! from the numerator and denominator leaves 5×4×3=605 \times 4 \times 3 = 60.

Key Concept

Linear permutation of r items selected from n distinct items
Estimated Time:45s
Question 57Question

Match each statistical data representation term on the left with its corresponding definition or mathematical property on the right.

Click a left item, then click its matching right item

Items

Class Boundary
Sector Angle
Frequency Density
Ogive

Matches

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Answer

Class Boundary matches with the value separating adjacent non-overlapping class intervals; Sector Angle matches with the central angle in a pie chart calculated as FrequencyTotal Frequency×360\frac{\text{Frequency}}{\text{Total Frequency}} \times 360^\circ; Frequency Density matches with the quotient of class frequency and class width; Ogive matches with a line graph produced by plotting cumulative frequencies against upper class boundaries.
Each data representation term directly corresponds to its core definition: class boundary closes gaps between discrete class intervals, sector angle measures central circle proportion in a pie chart, frequency density scales histogram height when class widths differ, and an ogive graphs cumulative frequency against upper boundaries.

Step-by-Step Solution

1
Define Class Boundary
Class boundary is the continuous point midway between adjacent class limits.
Class boundaries remove gaps in discrete grouped frequency distributions.
2
Define Sector Angle formula for a pie chart
Sector Angle =FrequencyTotal Frequency×360= \frac{\text{Frequency}}{\text{Total Frequency}} \times 360^\circ.
The complete circle represents total frequency, so individual sectors scale proportionally with 360360^\circ.
3
Define Frequency Density for histograms
Frequency Density =FrequencyClass Width= \frac{\text{Frequency}}{\text{Class Width}}.
Histogram area equals frequency; when widths differ, height must represent frequency per unit width.
4
Define Ogive
An Ogive is a cumulative frequency curve plotted against upper boundaries.
Each point on an ogive shows the cumulative frequency up to that class's upper boundary.

Key Concept

Data Representation Terms and Formulas
Estimated Time:1m 30s
Question 58Question

The ages, in years, of five participants in a workshop are 2,4,5,7,2, 4, 5, 7, and 1212. What is the mean deviation of the ages?

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Answer: 2.82.8

Answer

2.82.8
The mean deviation is calculated by taking the average of the absolute differences between each data point and the mean. For the dataset 2,4,5,7,2, 4, 5, 7, and 1212, the mean is 66. The absolute deviations from 66 are 4,2,1,1,4, 2, 1, 1, and 66, which sum to 1414. Dividing 1414 by 55 gives 2.82.8.

Step-by-Step Solution

1
Calculate the arithmetic mean (xˉ\bar{x}) of the dataset.
xˉ=2+4+5+7+125=305=6\bar{x} = \frac{2 + 4 + 5 + 7 + 12}{5} = \frac{30}{5} = 6
The mean is needed as the reference point to calculate deviations.
2
Calculate the absolute deviation xxˉ|x - \bar{x}| for each data item.
26=4,46=2,56=1,76=1,126=6|2 - 6| = 4, \quad |4 - 6| = 2, \quad |5 - 6| = 1, \quad |7 - 6| = 1, \quad |12 - 6| = 6
Mean deviation measures distance from the mean, so absolute values are taken.
3
Find the average of these absolute deviations.
\text{Mean Deviation} = \frac{4 + 2 + 1 + 1 + 6}{5} = \frac{14}{5} = 2.8
The formula for mean deviation of ungrouped data is xxˉn\frac{\sum |x - \bar{x}|}{n}.

Key Concept

Mean Deviation for Ungrouped Data
Question 59Question

The frequency distribution table below shows the mass, in grams, of 2020 harvested oranges recorded during an agricultural experiment:

Mass (gg)Frequency (ff)
101910 - 1933
202920 - 2955
303930 - 3988
404940 - 4944

What is the mean mass of the harvested oranges?

Show answer & explanation

Answer: 31.0 g31.0\text{ g}

Answer

The mean mass of the harvested oranges is 31.0 g31.0\text{ g}.
The mean of grouped data is given by xˉ=fxf\bar{x} = \frac{\sum fx}{\sum f}. Finding the midpoints (xx) of the intervals gives 14.514.5, 24.524.5, 34.534.5, and 44.544.5. Multiplying each midpoint by its frequency yields 43.543.5, 122.5122.5, 276.0276.0, and 178.0178.0. The sum of these products is 620.0620.0, and dividing by the total frequency (2020) gives 31.0 g31.0\text{ g}.

Step-by-Step Solution

1
Determine the class midpoint (xx) for each class interval.
Midpoints are: 10+192=14.5\frac{10+19}{2} = 14.5, 20+292=24.5\frac{20+29}{2} = 24.5, 30+392=34.5\frac{30+39}{2} = 34.5, and 40+492=44.5\frac{40+49}{2} = 44.5.
For grouped frequency data, each interval is represented by its central value (class mark or midpoint).
2
Multiply each midpoint (xx) by its corresponding frequency (ff) to calculate fxfx.
f1x1=3×14.5=43.5f_1 x_1 = 3 \times 14.5 = 43.5, f2x2=5×24.5=122.5f_2 x_2 = 5 \times 24.5 = 122.5, f3x3=8×34.5=276.0f_3 x_3 = 8 \times 34.5 = 276.0, f4x4=4×44.5=178.0f_4 x_4 = 4 \times 44.5 = 178.0.
This computes the total mass contributed by the items in each interval.
3
Calculate the total sum of fxfx and total frequency f\sum f.
fx=43.5+122.5+276.0+178.0=620.0\sum fx = 43.5 + 122.5 + 276.0 + 178.0 = 620.0 and f=3+5+8+4=20\sum f = 3 + 5 + 8 + 4 = 20.
These sums are the numerator and denominator required for the mean formula.
4
Compute the mean using xˉ=fxf\bar{x} = \frac{\sum fx}{\sum f}.
xˉ=620.020=31.0 g\bar{x} = \frac{620.0}{20} = 31.0\text{ g}.
Dividing the total weighted value by the total number of items gives the mean.

Key Concept

Calculating Mean for Grouped Frequency Data
Question 60Question

A pie chart is used to display the distribution of 720720 candidates registered for a competitive examination across five subjects. If the sector representing Further Mathematics has a central angle of 4545^\circ, what is the total number of candidates who registered for Further Mathematics?

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Answer: 90

Answer

The total number of candidates who registered for Further Mathematics is 90.
To calculate the number of candidates represented by a pie chart sector, multiply the total count by the ratio of the sector's central angle to 360 degrees: (45 / 360) * 720 = 90 candidates.

Step-by-Step Solution

1
Determine the fraction of the total population represented by the Further Mathematics sector.
45360=18\frac{45^\circ}{360^\circ} = \frac{1}{8}
A complete pie chart circle corresponds to an angle of 360 degrees.
2
Calculate the actual number of candidates by multiplying the fraction by the total student population.
18×720=90\frac{1}{8} \times 720 = 90
The number of items in a sector is directly proportional to its central sector angle relative to 360 degrees.

Key Concept

Calculating category frequencies from pie chart sector angles
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