Understanding Consistency and Scoring Comparison of Batsmen
We are given the mean and standard deviations of two batsmen, A and B. To compare them, we use the Coefficient of Variation (CV), which measures consistency as:
\[ \text{CV} = \frac{\sigma}{\text{Mean}} \]
Step 1: Condition for Greater Consistency
Batsman A is more consistent than Batsman B if A has a lower coefficient of variation. This translates to:
\[ \frac{\sigma_A}{\overline{X}} < \frac{\sigma_B}{\overline{Y}} \]
Rewriting the inequality for comparison:
\[ \frac{\sigma_A}{\sigma_B} < \frac{\overline{X}}{\overline{Y}} \]
Step 2: Condition for Higher Average Score
To ensure that Batsman A also scores more on average than Batsman B:
\[ \frac{\overline{X}}{\overline{Y}} < 1 \]
Step 3: Combine Both Conditions
Combining both consistency and higher scoring conditions, we get:
\[ 0 < \frac{\sigma_A}{\sigma_B} < \frac{\overline{X}}{\overline{Y}} < 1 \]
Conclusion:
Hence, for Batsman A to be both more consistent and a higher scorer than Batsman B, the correct condition is:
\[ \boxed{0 < \frac{\sigma_A}{\sigma_B} < \frac{\overline{X}}{\overline{Y}} < 1} \]
Correct Option: (1)
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:
\[ \begin{array}{|c|c|c|c|c|c|} \hline \text{Class Interval} & 0-2 & 2-4 & 4-6 & 6-8 & 8-10 \\ \hline \text{Frequency (}f_i\text{)} & 2 & 3 & 5 & 3 & 2 \\ \hline \end{array} \]