The ONESAMPLEMEANS statement performs power and sample size analyses for t tests, equivalence tests, and confidence interval precision involving one sample.
Table 77.10 summarizes the options available in the ONESAMPLEMEANS statement.
Table 77.10: ONESAMPLEMEANS Statement Options
Option |
Description |
---|---|
Define analysis |
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Specifies an analysis of precision of the confidence interval for the mean |
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Specifies the underlying distribution assumed for the test statistic |
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Specifies the statistical analysis |
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Specify analysis information |
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Specifies the significance level |
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Specifies the lower equivalence bound for the mean |
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Specifies the null mean |
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Specifies the number of sides and the direction of the statistical test |
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Specifies the upper equivalence bound for the mean |
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Specify effect |
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Specifies the desired confidence interval half-width |
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Specifies the mean |
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Specify variability |
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Specifies the coefficient of variation |
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Specifies the standard deviation |
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Specify sample size |
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Enables fractional input and output for sample sizes |
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Specifies the sample size |
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Specify power and related probabilities |
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Specifies the desired power of the test |
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Specifies the type of probability for the PROBWIDTH= option |
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Specifies the probability of obtaining a confidence interval half-width less than or equal to the value specified by HALFWIDTH= |
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Control ordering in output |
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Controls the output order of parameters |
Table 77.11 summarizes the valid result parameters for different analyses in the ONESAMPLEMEANS statement.
Table 77.11: Summary of Result Parameters in the ONESAMPLEMEANS Statement
To define the analysis, choose one of the following parameterizations:
This section summarizes the syntax for the common analyses supported in the ONESAMPLEMEANS statement.
The following statements demonstrate a power computation for the one-sample t test. Default values for the DIST= , SIDES= , NULLMEAN= , and ALPHA= options specify a two-sided test for zero mean with a normal distribution and a significance level of 0.05.
proc power; onesamplemeans test=t mean = 7 stddev = 3 ntotal = 50 power = .; run;
The following statements demonstrate a sample size computation for the one-sample t test for lognormal data. Default values for the SIDES= , NULLMEAN= , and ALPHA= options specify a two-sided test for unit mean with a significance level of 0.05.
proc power; onesamplemeans test=t dist=lognormal mean = 7 cv = 0.8 ntotal = . power = 0.9; run;
The following statements demonstrate a power computation for the TOST equivalence test for a normal mean. Default values for the DIST= and ALPHA= options specify a normal distribution and a significance level of 0.05.
proc power; onesamplemeans test=equiv lower = 2 upper = 7 mean = 4 stddev = 3 ntotal = 100 power = .; run;
The following statements demonstrate a sample size computation for the TOST equivalence test for a lognormal mean. The default of ALPHA= 0.05 specifies a significance level of 0.05.
proc power; onesamplemeans test=equiv dist=lognormal lower = 1 upper = 5 mean = 3 cv = 0.6 ntotal = . power = 0.85; run;
By default CI= T analyzes the conditional probability of obtaining the desired precision, given that the interval contains the true mean, as in the following statements. The defaults of SIDES= 2 and ALPHA= 0.05 specify a two-sided interval with a confidence level of 0.95.
proc power; onesamplemeans ci = t halfwidth = 14 stddev = 8 ntotal = 50 probwidth = .; run;