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If the value of \( 5 S \) stays constant, what will happen to the sample variance if the degrees of freedom is increased? (A) no effect (B) increase (C) decrease : (D) none of these Ouestion 6

Ask by Ortiz Thornton. in the United States
Mar 03,2025

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Answer

If the degrees of freedom increase while keeping 5S constant, the sample variance will decrease.

Solution

The sample variance is typically calculated by dividing the sum of squared deviations by the degrees of freedom. If we denote 5S as this constant sum of squares and use df to represent the degrees of freedom, then   Sample Variance = (5S) / df Since 5S is held constant, if the degrees of freedom (df) increases, you are dividing the same constant by a larger number. This means the overall value of the sample variance will decrease. Therefore, the correct answer is (C) decrease.

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Beyond the Answer

When the degrees of freedom in a variance calculation increase, it typically means that the sample size is growing. In this situation, since \( 5S \) remains constant, the variability of the data can actually become more stable because averaging over a larger sample tends to reduce the effect of outliers. Therefore, if you increase the degrees of freedom, the sample variance will decrease, as it will reflect a more accurate estimate of the population variance. Additionally, increasing the degrees of freedom gives your estimate of variance more robustness. The more data points you have, the less influenced the variance will be by a few extreme values. This results in a reduced variance estimate, reinforcing the reliability of your data analysis.

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