Objectives and role:
Determine whether the sample mean is significantly different from a known or estimated population mean.
operating:
Analysis / analyze- compare means / compare means - One-Sample T-test value of one-sample T test;
note input test value test value;
The results of the analysis of the chart
Sample and divided into single-sample test statistics table;
Std Deviation:. Sample standard deviation;
Std Error on Mean:. Sample standard error of the mean;
Mean -difference: mean of the difference;
calculated t values in the table:
The sig value, i.e., the value of p determines whether to reject the null hypothesis;
Effect size:
the above test results can only determine whether the sample mean and the population mean is known whether there are differences, but can not evaluate how much worse, to what extent such a problem, therefore, put forward effect size.
Cohen effect size:
One-sample t-test assumptions:
- Observations are independent;
- The dependent variable overall normal distribution;