xi | 3 | 8 | 11 | 10 | 5 | 4 |
fi | 5 | 2 | 3 | 2 | 4 | 4 |
List-I | List-II | ||
(P) | The mean of the above data is | (1) | 2.5 |
(Q) | The median of the above data is | (2) | 5 |
(R) | The mean deviation from the mean of the above data is | (3) | 6 |
(S) | The mean deviation from the median of the above data is | (4) | 2.7 |
(5) | 2.4 |
The correct answer is (A).
Mean is given by:
\[ \frac{3 \times 5 + 8 \times 2 + 11 \times 3 + 10 \times 2 + 5 \times 4 + 4 \times 4}{5 + 2 + 3 + 2 + 4 + 4} \]
Simplifying the equation:
\[ = \frac{15 + 16 + 33 + 20 + 20 + 16}{20} = \frac{120}{20} = 6 \]
Median is the average of the 10th and 11th observations:
\[ = \frac{1}{2}(5 + 5) = 5 \]
Mean deviation about the mean is:
\[ \frac{54}{20} = 2.7 \]
Mean deviation about the median is:
\[ \frac{48}{20} = 2.4 \]
First, arrange data in ascending order
xi | 3 | 4 | 5 | 8 | 10 | 11 |
fi | 5 | 4 | 4 | 2 | 2 | 3 |
\(\begin{array}{|c|c|c|c|c|} \hline x_i & f_i & f_i x_i & f_i\left|x_i-\bar{x}\right| & f_i\left|x_i-N\right| \\ \hline 3 & 5 & 15 & 15 & 10 \\ \hline 4 & 4 & 16 & 8 & 4 \\ \hline 5 & 4 & 20 & 4 & 0 \\ \hline 8 & 2 & 16 & 4 & 6 \\ \hline 10 & 2 & 20 & 8 & 10 \\ \hline 11 & 3 & 33 & 15 & 18 \\ \hline & \Sigma f_i=20 & \Sigma f_i x_i=120 & \text { sum }=54 & \text { sum }=48 \\ \hline \end{array}\)
Mean = \(\frac{\sum f_ix_i}{\sum f_i}\)
\(=\frac{120}{20}=6\)
Median = \(\frac{n^{th}+(n^{th}+1)\ \text{observation}}{2}\)
\(n=\frac{\sum f_i}{2}=\frac{20}{2}=10\)
\(Median\ =\frac{10^{th} +11^{th}}{2}=\frac{5+5}{2}=5\)
Mean Deviation about mean
\(\frac{\sum f_i|x_i-\bar{x}|}{\sum f_i}=\frac{54}{20}=2.7\)
Mean Deviation about Median
\(\frac{\sum f_i|x_i-M|}{\sum f_i}=\frac{48}{20}=2.4\)
So, the correct option is (A):(P)\(\rightarrow\)(3),(Q)\(\rightarrow\)(2),(R)\(\rightarrow\)(4),(S)\(\rightarrow\)(5)
Class | 0 – 15 | 15 – 30 | 30 – 45 | 45 – 60 | 60 – 75 | 75 – 90 |
---|---|---|---|---|---|---|
Frequency | 11 | 8 | 15 | 7 | 10 | 9 |
Variance of the following discrete frequency distribution is:
\[ \begin{array}{|c|c|c|c|c|c|} \hline \text{Class Interval} & 0-2 & 2-4 & 4-6 & 6-8 & 8-10 \\ \hline \text{Frequency (}f_i\text{)} & 2 & 3 & 5 & 3 & 2 \\ \hline \end{array} \]
Let $ a_0, a_1, ..., a_{23} $ be real numbers such that $$ \left(1 + \frac{2}{5}x \right)^{23} = \sum_{i=0}^{23} a_i x^i $$ for every real number $ x $. Let $ a_r $ be the largest among the numbers $ a_j $ for $ 0 \leq j \leq 23 $. Then the value of $ r $ is ________.
Let $ y(x) $ be the solution of the differential equation $$ x^2 \frac{dy}{dx} + xy = x^2 + y^2, \quad x > \frac{1}{e}, $$ satisfying $ y(1) = 0 $. Then the value of $ 2 \cdot \frac{(y(e))^2}{y(e^2)} $ is ________.
The left and right compartments of a thermally isolated container of length $L$ are separated by a thermally conducting, movable piston of area $A$. The left and right compartments are filled with $\frac{3}{2}$ and 1 moles of an ideal gas, respectively. In the left compartment the piston is attached by a spring with spring constant $k$ and natural length $\frac{2L}{5}$. In thermodynamic equilibrium, the piston is at a distance $\frac{L}{2}$ from the left and right edges of the container as shown in the figure. Under the above conditions, if the pressure in the right compartment is $P = \frac{kL}{A} \alpha$, then the value of $\alpha$ is ____
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.