\(x_i\) | \(f_i\) |
|---|---|
| 0 - 4 | 2 |
| 4 - 8 | 4 |
| 8 - 12 | 7 |
| 12 - 16 | 8 |
| 16 - 20 | 6 |
First, calculate the cumulative frequency.
| Class | Frequency | Cumulative Frequency |
| 0-4 | 3 | 3 |
| 4-8 | 9 | 12 |
| 8-12 | 10 | 22 |
| 12-16 | 8 | 30 |
| 16-20 | 6 | 36 |
The total frequency \( N = 36 \), so \( \frac{N}{2} = 18 \).
The median class is 8-12, as it is the class where the cumulative frequency first exceeds 18.
Lower limit \( l = 8 \) Frequency \( f = 10 \) Cumulative frequency of the class before the median class \( C = 12 \) Class width \( h = 4 \)
Using the median formula:
\[ M = l + \left( \frac{\frac{N}{2} - C}{f} \right) \times h \]
Substitute the values:
\[ M = 8 + \left( \frac{18 - 12}{10} \right) \times 4 \] \[ = 8 + \left( \frac{6}{10} \right) \times 4 \] \[ = 8 + 0.6 \times 4 \] \[ = 8 + 2.4 = 10.4 \]
Then,
\[ 20M = 20 \times 10.4 = 208 \].
The problem requires us to calculate the value of \(20M\), where \(M\) is the median of the given frequency distribution.
The median for a grouped frequency distribution is calculated using the formula:
\[ M = l + \left( \frac{\frac{N}{2} - c.f.}{f} \right) \times h \]
where:
Step 1: Construct the cumulative frequency distribution table.
First, we find the total frequency \(N\) and then create a cumulative frequency (\(c.f.\)) column.
| Class | Frequency (\(f_i\)) | Cumulative Frequency (\(c.f.\)) |
|---|---|---|
| 0 - 4 | 3 | 3 |
| 4 - 8 | 9 | 3 + 9 = 12 |
| 8 - 12 | 10 | 12 + 10 = 22 |
| 12 - 26 | 8 | 22 + 8 = 30 |
| 16 - 20 | 6 | 30 + 6 = 36 |
The total frequency is \(N = 36\).
Step 2: Identify the median class.
To find the median class, we first calculate the value of \(\frac{N}{2}\):
\[ \frac{N}{2} = \frac{36}{2} = 18 \]
The median class is the class interval whose cumulative frequency is just greater than or equal to 18. Looking at the \(c.f.\) column, the value just greater than 18 is 22. The class corresponding to this cumulative frequency is 8 - 12.
Therefore, the median class is 8 - 12.
Step 3: Extract the values needed for the median formula.
Note: Even though the class intervals are not uniform, the formula uses the width \(h\) of the median class only.
Step 4: Substitute the values into the formula to calculate the median \(M\).
\[ M = l + \left( \frac{\frac{N}{2} - c.f.}{f} \right) \times h \] \[ M = 8 + \left( \frac{18 - 12}{10} \right) \times 4 \] \[ M = 8 + \left( \frac{6}{10} \right) \times 4 \] \[ M = 8 + 0.6 \times 4 \] \[ M = 8 + 2.4 = 10.4 \]
Step 5: Calculate the value of \(20M\).
\[ 20M = 20 \times 10.4 \] \[ 20M = 208 \]
The value of 20M is 208. This corresponds to option (4).
Let the Mean and Variance of five observations $ x_i $, $ i = 1, 2, 3, 4, 5 $ be 5 and 10 respectively. If three observations are $ x_1 = 1, x_2 = 3, x_3 = a $ and $ x_4 = 7, x_5 = b $ with $ a>b $, then the Variance of the observations $ n + x_n $ for $ n = 1, 2, 3, 4, 5 $ is
Find the variance of the following frequency distribution:
| Class Interval | ||||
| 0--4 | 4--8 | 8--12 | 12--16 | |
| Frequency | 1 | 2 | 2 | 1 |

Statistics is a field of mathematics concerned with the study of data collection, data analysis, data interpretation, data presentation, and data organization. Statistics is mainly used to acquire a better understanding of data and to focus on specific applications. Also, Statistics is the process of gathering, assessing, and summarising data in a mathematical form.
Using measures of central tendency and measures of dispersion, the descriptive technique of statistics is utilized to describe the data collected and summarise the data and its attributes.
This statistical strategy is utilized to produce conclusions from data. Inferential statistics rely on statistical tests on samples to make inferences, and it does so by discovering variations between the two groups. The p-value is calculated and differentiated to the probability of chance() = 0.05. If the p-value is less than or equivalent to, the p-value is considered statistically significant.