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6.7.3. Variance

Sample Size and Power-Variance

6.7.3.1. Sample Size for Variance

The relationship between the estimates of sample and population variances is given as follows:

   Sample Size and Power-Variance

Here:

·      Sample Size and Power-Varianceis the estimate of the population variance,

·      Sample Size and Power-Variance is the sample variance with ν degrees of freedom,

·      α is the probability of committing a Type I error and 1- α is the confidence level,

·      β is the probability of committing a Type II error and 1 - β is the power of the test,

Since critical values from chi-square distribution are both dependent on the sample size n, an iterational algorithm should be employed.

The user is expected to enter:

·      Sample Variance

·      Population Variance

·      Power of the test

·      Confidence Level

and the program will output the estimated sample size.

Example

Example 7.12 on p. 124 from Zar, J. H. (2010). Select Statistics 1Sample Size and Power EstimationVariance and the Sample Size option. Enter the following data at the next dialogue:

Sample Size and Power Estimation: Variance

Sample Size

Sample Variance =

 2.6898

Population Variance =

 1.5000

Power of the Test =

 0.9000

Confidence Level =

 0.9500

Estimated Sample Size =

 50.7813

 

6.7.3.2. Power of the Test for Variance

Power of the test is defined as the following probability:

   Sample Size and Power-Variance

Since the first chi-square value on the right hand side of this equation depends on β, an iterational algorithm should be employed.

The user is expected to enter:

·      Sample Size

·      Sample Variance

·      Population Variance

·      Confidence Level

and the program will output the estimated chi-square statistic and its p-value, β.

Example

The example on p. 124 from Zar, J. H. (2010). Select Statistics 1Sample Size and Power EstimationVariance and the Power of the Test option. Enter the following data at the next dialogue:

Sample Size and Power Estimation: Variance

Power of the Test

Sample Size =

 8.0000

Sample Variance =

 2.6898

Population Variance =

 1.5000

Confidence Level =

 0.9500

Power of the Test:

 

Chi-Square Statistic =

 7.8447

Right-Tail Probability =

 0.3465