17.9.9.1 Sample Size for Estimation Dialog Box
Contents
Supporting Information
Parameter
Select a following statistic as parameter:
- Mean (Normal)
- Standard Deviation (Normal)
- Variance (Normal)
- Proportion (Binomial)
- Rate (Poisson)
- Mean (Poisson)
Parameters are descriptive measures of an entire population used as the inputs.
Parameter Value
After select Parameter in the above drop-down list, enter the value of select parameter.
| Parameter | Valve |
|---|---|
| Mean (Normal) | Standard Deviation |
| Standard Deviation (Normal) | Standard Deviation |
| Variance (Normal) | Variance |
| Proportion (Binomial) | Proportion |
| Rate (Poisson) | Rate |
| Mean (Poisson) | Mean |
Calculate
| Sample Sizes | Compute sample size for the desired margin of error(s). |
|---|---|
| Margins of Error | Compute margins of error for the given sample size(s). |
Margins of Error
When select Sample Sizes in the Calculate drop-down list, the Margins of Error box will show in this dialog.
You can specify a value for the desired margin of error. Entering multiple values, it can evaluate the effect of different marginal errors. Usually when enter the margin of error is smaller, the sample sizes are larger.
Sample Sizes
When select Margins of Error in the Calculate drop-down list, the Sample Sizes box will show in this dialog.
You can specify a value for the sample size. Entering multiple values. it can evaluate the effect of different sample sizes. Usually when enter the sample sizes are larger, the margins of error are smaller.
Confidence Level (%)
Specify the level of confidence for the confidence interval. Usually, it will set confidence level to 95%. But you need to consider to change confidence level to other value depending on the sample size. If the sample size is large, it requires a large confidence level.
Confidence Interval
| Two-sided | Use the two-sided test to determine whether the population parameter differs from the hypothesized value. |
|---|---|
| Lower Bound | Use the one-sided test to determine whether the population parameter is less than the hypothesized value. |
| Upper Bound | Use the one-sided test to determine whether the population parameter is greater than the hypothesized value. |
Assume population standard deviation is known
This option is only available when Parameter is Mean(Normal). If the value of the population standard deviation is known, and hope to estimate the sample size or margin of error for 1-Sample Z, you can select check this option.
Exposure
The Exposure box is only available when Parameter is Rate(Poisson). Enter a value to divide the sample rate of occurrence into a more useful form.
Output Results
Determine where to create the output report worksheet. For more information, see Analysis Report Sheets.