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Zorluk: OrtaCumulative Frequency and Ogive

The table below shows the distribution of examination scores of 5050 candidates in a selection test:

Score ClassFrequency (ff)
10−1910 - 1955
20−2920 - 2999
30−3930 - 391616
40−4940 - 491414
50−5950 - 5966

Using the cumulative frequency distribution (ogive), what is the estimated 70th70^{\text{th}} percentile score?

  1. A
    33.133.1
  2. 43.143.1Cevap
  3. C
    43.643.6
  4. D
    38.138.1

Cevap

The estimated 70th70^{\text{th}} percentile score is 43.143.1.
The 70th70^{\text{th}} percentile corresponds to the score at the 35th35^{\text{th}} candidate (70%70\% of 5050). This falls within the 40−4940 - 49 score class, which has a lower boundary of 39.539.5, a frequency of 1414, and a class width of 1010. Interpolating linearly gives 39.5+(35−3014)×10=43.07≈43.139.5 + \left(\frac{35 - 30}{14}\right) \times 10 = 43.07 \approx 43.1.

Adım Adım Çözüm

1
Construct the cumulative frequency table to find class boundaries and cumulative frequencies.
Cumulative frequencies: 10−1910-19 (CF=5CF = 5), 20−2920-29 (CF=14CF = 14), 30−3930-39 (CF=30CF = 30), 40−4940-49 (CF=44CF = 44), 50−5950-59 (CF=50CF = 50).
Cumulative frequencies are required to locate the position of the desired percentile.
2
Determine the rank position of the 70th70^{\text{th}} percentile (P70P_{70}).
Rank position = 70100×50=35th\frac{70}{100} \times 50 = 35^{\text{th}} position.
The 70th70^{\text{th}} percentile corresponds to the score below which 70%70\% of the total candidates fall.
3
Identify the class interval containing the 35th35^{\text{th}} cumulative frequency and state its parameters.
The target class is 40−4940 - 49. Parameters: Lower class boundary L=39.5L = 39.5, preceding cumulative frequency CFprev=30CF_{\text{prev}} = 30, class frequency f=14f = 14, class width c=10c = 10.
Since 30<35≤4430 < 35 \le 44, the 35th35^{\text{th}} entry falls within the 40−4940 - 49 class.
4
Apply the linear interpolation formula for percentiles from an ogive.
P70=L+(70N100−CFprevf)×c=39.5+(35−3014)×10=39.5+5014≈43.07≈43.1P_{70} = L + \left(\frac{\frac{70N}{100} - CF_{\text{prev}}}{f}\right) \times c = 39.5 + \left(\frac{35 - 30}{14}\right) \times 10 = 39.5 + \frac{50}{14} \approx 43.07 \approx 43.1.
This calculates the exact score estimate on the cumulative frequency curve.

Anahtar Kavram

Estimating Percentiles from Grouped Data and Ogives
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