To open the Two-Sample t-Test on Rows dialog box:
See Also
| Recalculate |
Controls recalculation of analysis results
For more information, see: Recalculating Analysis Results |
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| 1st Data Range | Specify data range(multiple columns) of the first sample. Each row represents a data variable. |
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| 2nd Data Range | Specify data range(multiple columns) of the second sample. Each row represents a data variable. |
| Test Mean | The hypothetical mean to be tested (0 if testing equality of means). |
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| Alternate Hypothesis | The alternate hypothesis:
Used for two-tailed two-sample test. Mean1 and Mean2 differ.
Used for an upper-tailed two-sample test. Test Mean1 is greater than Mean2.
Used for a lower-tailed two-sample test. Test Mean1 is less than Mean2. |
For help with the range controls, see: Output Results
Results are output to column Long Name as "t-statistic" ("Welch t"), "DF" ("Welch DF"), "P-Value" ("Welch P"), "Significant" ("Welch Sig").
| t-statistic | Select to output the t-statistic, and you can specify the column for the values. Each row represents the t-statistic of the data in the row. |
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| Degrees of Freedom | Select to output the degree of freedom, and you can specify the column for the values. Each row represents the degree of freedom of the data in the row. |
| P-value | Select to output the p-value, and you can specify the column for the values. Each row represents the p-value of the data in the row. |
| Significant | Select to output the flag of decision and specify the column for the values. the value equals to 1 indicates that the difference of the means is significant at the 0.05 level, 0 indicates that the means are not significant different at the 0.05 level. |