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Question: If marks scored by five students in statistics test of 100 marks, are given in following table. | S...

If marks scored by five students in statistics test of 100 marks, are given in following table.

Student12345
Marks(/100)x4634527865

Find standard deviation and arithmetic mean x\overline{x}.

Answer

Arithmetic mean x=55\overline{x} = 55.

Standard deviation σ=23215.23\sigma = \sqrt{232} \approx 15.23.

Explanation

Solution

Given the marks of five students in a statistics test: x={46,34,52,78,65}x = \{46, 34, 52, 78, 65\}. The number of students is n=5n=5.

First, calculate the arithmetic mean (x\overline{x}). The formula for the arithmetic mean is x=xin\overline{x} = \frac{\sum x_i}{n}. Sum of marks xi=46+34+52+78+65=275\sum x_i = 46 + 34 + 52 + 78 + 65 = 275. x=2755=55\overline{x} = \frac{275}{5} = 55.

Next, calculate the standard deviation (σ\sigma). We will use the formula for the population standard deviation, as the given data represents the scores of the specified five students. The formula for the population standard deviation is σ=(xix)2n\sigma = \sqrt{\frac{\sum (x_i - \overline{x})^2}{n}}. First, calculate the deviations from the mean (xix)(x_i - \overline{x}):

4655=946 - 55 = -9

3455=2134 - 55 = -21

5255=352 - 55 = -3

7855=2378 - 55 = 23

6555=1065 - 55 = 10

Next, square the deviations (xix)2(x_i - \overline{x})^2:

(9)2=81(-9)^2 = 81

(21)2=441(-21)^2 = 441

(3)2=9(-3)^2 = 9

(23)2=529(23)^2 = 529

(10)2=100(10)^2 = 100

Now, sum the squared deviations (xix)2\sum (x_i - \overline{x})^2: (xix)2=81+441+9+529+100=1160\sum (x_i - \overline{x})^2 = 81 + 441 + 9 + 529 + 100 = 1160.

Finally, calculate the standard deviation: σ=11605=232\sigma = \sqrt{\frac{1160}{5}} = \sqrt{232}. The value of 232\sqrt{232} is approximately 15.2315.23.

Explanation of the solution:

  1. The arithmetic mean x\overline{x} is calculated as the sum of all marks divided by the number of students: x=xin\overline{x} = \frac{\sum x_i}{n}.
  2. The standard deviation σ\sigma is calculated as the square root of the variance, where the variance is the average of the squared deviations from the mean: σ=(xix)2n\sigma = \sqrt{\frac{\sum (x_i - \overline{x})^2}{n}}.