Specify the data sample.
Calculate the two sample t-test on a list of values.
Standard T-Test on Two Samples (Unequal Variances)
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Null Hypothesis:
Sample drawn from populations with difference of means equal to 0
Alt. Hypothesis:
Sample drawn from population with difference of means not equal to 0
Sample Sizes: 10, 10
Sample Means: 7.6, 7.2
Sample Standard Dev: 4.24788, 3.48967
Difference in Means: 0.4
Distribution: StudentT(17.3463603321218)
Computed Statistic: .230089496654211
Computed p-value: .820713744505649
Confidence Interval: -3.26224630470081 .. 4.06224630470081
(difference of population means)
Result: [Accepted]
This statistical test does not provide enough evidence to conclude that the null hypothesis is false.
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If the output=plot option is included, then a plot will be returned.
If the output=both option is included, then both a report and a plot will be returned.
Standard T-Test on Two Samples (Unequal Variances)
------------------------------------------------
Null Hypothesis:
Sample drawn from populations with difference of means equal to 0
Alt. Hypothesis:
Sample drawn from population with difference of means not equal to 0
Sample Sizes: 10, 10
Sample Means: 7.6, 7.2
Sample Standard Dev: 4.24788, 3.48967
Difference in Means: 0.4
Distribution: StudentT(17.3463603321218)
Computed Statistic: .230089496654211
Computed p-value: .820713744505649
Confidence Interval: -3.26224630470081 .. 4.06224630470081
(difference of population means)
Result: [Accepted]
This statistical test does not provide enough evidence to conclude that the null hypothesis is false.
Histogram Type: default
Data Range: 0 .. 15
Bin Width: 1/2
Number of Bins: 30
Frequency Scale: relative
Histogram Type: default
Data Range: 3 .. 13
Bin Width: 1/3
Number of Bins: 30
Frequency Scale: relative
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