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Question

Consider the following for the next two (02) items that follow :
The marks obtained by 10 students in a Statistics test are 24, 47, 18, 32, 19, 15, 21, 35, 50 and 41.

What is the variance of the largest five observations ?

This question was previously asked in
NDA 2 2024 GAT Question Paper (01-Sep-2024)
The correct answer is
46.8

Understanding Variance Calculation for Largest Observations

This problem requires calculating the variance of a specific subset of data – the largest five observations from a list of student marks in a Statistics test. Variance measures how spread out the data points are from their average value (mean).

Step 1: Identify the Data Set

The marks obtained by 10 students are:

24, 47, 18, 32, 19, 15, 21, 35, 50, 41

Step 2: Find the Largest Five Observations

First, we need to sort the marks in ascending order to easily identify the largest values:

15, 18, 19, 21, 24, 32, 35, 41, 47, 50

The largest five observations are:

32, 35, 41, 47, 50

Step 3: Calculate the Mean of the Largest Five Observations

To find the variance, we first need the mean (\(\bar{x}\)) of these five numbers.

Mean (\(\bar{x}\)) = Sum of observations / Number of observations

\(\bar{x} = \frac{32 + 35 + 41 + 47 + 50}{5}\)

\(\bar{x} = \frac{205}{5}\)

\(\bar{x} = 41\)

Step 4: Calculate the Variance

Variance measures the average squared difference of each data point from the mean. Since we are considering these five observations as the complete set of interest for this calculation, we use the formula for population variance (\(\sigma^2\)):

Population Variance (\(\sigma^2\)) = \(\frac{\sum_{i=1}^{N}(x_i - \bar{x})^2}{N}\)

Where:

  • \(x_i\) represents each of the five observations (32, 35, 41, 47, 50).
  • \(\bar{x}\) is the mean of these observations (41).
  • \(N\) is the number of observations (5).

Let's calculate the squared difference for each observation:

  • For 32: \((32 - 41)^2 = (-9)^2 = 81\)
  • For 35: \((35 - 41)^2 = (-6)^2 = 36\)
  • For 41: \((41 - 41)^2 = (0)^2 = 0\)
  • For 47: \((47 - 41)^2 = (6)^2 = 36\)
  • For 50: \((50 - 41)^2 = (9)^2 = 81\)

Now, sum these squared differences:

Sum of squared differences = \(81 + 36 + 0 + 36 + 81 = 234\)

Finally, calculate the variance by dividing the sum of squared differences by the number of observations (\(N=5\)):

\(\sigma^2 = \frac{234}{5}\)

\(\sigma^2 = 46.8\)

Therefore, the variance of the largest five observations is 46.8.

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Important Questions from Statistics

  1. Match the LIST-I with LIST-II
    LIST-ILIST-II
    A. Sampling errorI.Values that describe the characteristics of a population
    B. ParametersII.The standard deviation of the sampling distribution
    C. Sampling fractionIII.Variation among sample statistics due to change
    D. Standard errorIV.Proportion of the population contained in a sample

    Choose the correct answer from the options given below:
  2. Given below are two statements one is labelled as Assertion (A) and the other is labelled as
    Reason (R).
    Assertion (A): Additive model considers the total of various components resulting in the given
    values of the over all time series and it is stated as:
    $Y=T+C+S+I$
    Reason (R): Multiplicative model assumes that the various components interact in a
    multiplicative manner to produce the given values of the over all time series and
    can be stated as $Y=T \times C \times S \times I$
    In the light of the above statements, choose the most appropriate answer from the options given
    below:
     

  3. Match List - I with List - II.
     

    List - IList - II
    A. Sample proportion P = x/nI. $\frac{\sigma}{\sqrt{n}}$
    B. Sample variance $S_1^2 = \frac{1}{n-1} \sum_{i=1}^{n}(xi-x̄)^2$II. $\sigma^2 \sqrt{\frac{2}{n}}$
    C. Sample variance $S^2 = \frac{1}{n} \sum_{i=1}^{n}(xi-x̄)^2$III. $\sigma^2 \sqrt{\frac{2}{(n-1)}}$
    D. Sample mean $\bar{x} = \frac{1}{n} \sum_{i=1}^{n}xi$IV. $\sqrt{\frac{\pi(1-\pi)}{n}}$


    Choose the correct answer from the options given below :

  4. The measurement or determinations of length, height, weight, volume, area, pressure etc. comes under:
  5. Which of the following options explain what a 'mean' assumes ?
    (i) an interval level of measurement
    (ii) a nominal level of measurement
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