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)
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