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Question

Marks obtained by 100 students in an examination are given in the table.

Sl. No

Marks obtained

(x)

Number of students

(f)

1

25

20

2

30

20

3

35

40

4

40

20

What would be the mean, median, and mode of the marks obtained by the students?

The correct answer is

Mean 33, Median 35, Mode 35

The question asks us to find the mean, median, and mode of the marks obtained by 100 students in an examination, given in a frequency distribution table. We will calculate each of these measures of central tendency step-by-step.

Marks Obtained: Calculating the Mean

The mean (average) for grouped data is calculated using the formula:

$$\text{Mean} (\bar{x}) = \frac{\sum fx}{\sum f}$$

where $\sum fx$ is the sum of the products of marks (x) and their corresponding frequencies (f), and $\sum f$ is the total number of students (total frequency).

Let's create a table to calculate $\sum fx$:

Marks obtained (x) Number of students (f) fx
25 20 $25 \times 20 = 500$
30 20 $30 \times 20 = 600$
35 40 $35 \times 40 = 1400$
40 20 $40 \times 20 = 800$
Total $\sum f = 100$ $\sum fx = 3300$

Now, substitute the values into the mean formula:

$$\text{Mean} (\bar{x}) = \frac{3300}{100} = 33$$

So, the mean marks obtained by the students is 33.

Marks Obtained: Determining the Median

The median is the middle value in an ordered dataset. For grouped discrete data, we first find the cumulative frequency.

The total number of students (N) is 100. Since N is an even number, the median is the average of the values at the $\left(\frac{N}{2}\right)^{th}$ and $\left(\frac{N}{2} + 1\right)^{th}$ positions.

  • $\frac{N}{2} = \frac{100}{2} = 50^{th}$ position
  • $\left(\frac{N}{2} + 1\right) = \left(\frac{100}{2} + 1\right) = 51^{st}$ position

Let's create a cumulative frequency table:

Marks obtained (x) Number of students (f) Cumulative Frequency (cf)
25 20 20
30 20 $20 + 20 = 40$
35 40 $40 + 40 = 80$
40 20 $80 + 20 = 100$

Now, we locate the $50^{th}$ and $51^{st}$ observations:

  • The cumulative frequency for marks 30 is 40. This means the first 40 students have marks up to 30.
  • The cumulative frequency for marks 35 is 80. This means students from the $41^{st}$ position to the $80^{th}$ position have marks 35.

Since both the $50^{th}$ and $51^{st}$ observations fall within the range where marks are 35, the value of the $50^{th}$ observation is 35, and the value of the $51^{st}$ observation is also 35.

$$\text{Median} = \frac{50^{th} \text{ observation} + 51^{st} \text{ observation}}{2} = \frac{35 + 35}{2} = \frac{70}{2} = 35$$

So, the median marks obtained by the students is 35.

Marks Obtained: Identifying the Mode

The mode is the value that appears most frequently in a dataset. In a frequency distribution table, the mode is the value of 'x' that has the highest frequency (f).

Let's look at the frequencies from the given table:

  • Marks 25: Frequency 20
  • Marks 30: Frequency 20
  • Marks 35: Frequency 40
  • Marks 40: Frequency 20

The highest frequency is 40, which corresponds to the marks value of 35.

Therefore, the mode of the marks obtained by the students is 35.

Summary of Measures

Based on our calculations:

  • Mean: 33
  • Median: 35
  • Mode: 35

This matches the option stating Mean 33, Median 35, Mode 35.

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Important Questions from Statistical Variables

  1. Which of these statements on variation is INCORRECT?

  2. For a group of 5 male residents in a society, the mean and standard deviation of their ages are 63 years and 9 years, respectively. For a group of 4 female residents, these values are 54 years and 6 years, respectively. The variance of the combined group of male and female residents is:

  3. Factory A and Factory B employ 476 and 524 employees. respectively. The average weekly salary of an employee in Factory A is $34.5 whereas for an employee in Factory B it is $28.5, The standard deviation in paying the individual salary has been recorded as $5 and $4.5 for Factory A and Factory B, respectively. Which factory has greater variability in paying individual salary?

  4. Among the options for parameters, which option is correct for population?

  5. The formula to calculate the coefficient of quartile deviation is

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