17.3.1.1 The One-Sample T-Test Dialog Box

Supporting Information

To open the One-Sample t-Test dialog box:

With a worksheet active, click Statistics: Hypothesis Testing: One-Sample t-Test...

See Also:

Recalculate

Controls recalculation of analysis results

Input Data Form

Summarized Data

Enter value of mean, standard deviation and sample size data for sample(s), in the form as "mean SD N" (space separated numbers)

Raw Data

Enter column with range format. For help with range controls, see: Specifying Your Input Data

Input

Enter the input data.

Test Mean	The hypothetical mean to be tested. When you enter a value, null and alternate hypotheses are adjusted accordingly.
Null Hypothesis	The null hypothesis to be tested. (Mean = Test Mean)
Alternate Hypothesis	The alternate hypothesis. Options: Mean <>Test Mean Used for two-tailed test. Test whether the sample mean differs from the hypothesized mean. Mean >Test Mean Used for upper-tailed test. Test whether the sample mean is greater than the hypothesized mean. Mean <Test Mean Used for lower-tailed test. Test whether the sample mean is less than the hypothesized mean.
Significance Level	Specify a significance level.
Effect Size	Calculate Cohen's d value to show the effect size which is the magnitude of the difference between actual mean and test mean.
Confidence Interval(s)	Compute confidence interval for the mean. For computation details, see Algorithms (One-Sample T-Test).
Confidence Level(s) in %	Specify space-separated confidence levels, (1- $\sigma$ )%. Available when Confidence Interval(s) is selected.

Minimal Difference of Interest	Specify the minimum difference from the test mean you are interested in. Once you enter a value in this box, the Power Anlysis graph will show the minimum sample size to detect this difference in the different powers.
Actual Power	Compute the power of the test (the probability of rejecting the null hypothesis when it is false).
Significance Level	Only available when Hypothetical Power and/or Actual Power are checked. This is the significance level (alpha value) for power computation.
Hypothetical Power	Compute the power of the test at various sample sizes.
Hypothetical Sample Size(s)	Only available when Hypothetical Power is checked. Specify hypothetical sample size(s) for power computation.

Box Chart	Plot a box chart.
Histogram	Plot a histogram.
Arrange Plots of Same Type in One Graph	Note that for histograms, the layers will be arranged vertically. For box charts, layers will be arranged horizontally.

For help with the range controls, see: Output Results

Results Log Output	Select to output results to the Results Log.
Graphical Summary Report	Create a summary graph report, including P value bar, effect size bar and data distribution graph. Three result tables will also been attached to the graph to show the statistical values. The footnote after the summary graph will diagnose these statistical results.
Graphical Power Analysis Report	Create a graphical power analysis report with power curve(s). If no value has been set for Minimal Difference of Interest editbox, only the power curve of current sample size will be output; and the power at 60%, 70%, 80% and 90% will be tagged to show the difference at these power values. If a difference value has been set for Minimal Difference of Interest editbox, five power curves will be output: power curves at around 60%, 70%, 80% and 90% and current sample size; and the sample size to detect the minimal difference will be listed. A footnote will be added after the power curve graph to show you the diagnosis results of power analysis. A power value of 80% is usually considered sufficient.
Output Plot Data	Specify a worksheet for output of plotted data (Origin generates tabular data when plots are created). This item is only available when the Input Data Form is Raw.
Output Results	Specify the worksheet for output of test results.