Student's t-test | Wikipedia audio article
Channel: wikipedia tts
Date: 10/05/2019

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Student%27s_t-test


00:00:41 1 History
00:02:11 2 Uses
00:03:12 3 Assumptions
00:06:28 4 Unpaired and paired two-sample it/i-tests
00:07:11 4.1 Independent (unpaired) samples
00:08:13 4.2 Paired samples
00:10:30 5 Calculations
00:11:34 5.1 One-sample it/i-test
00:13:04 5.2 Slope of a regression line
00:16:54 5.3 Independent two-sample it/i-test
00:20:04 5.3.1 Equal sample sizes, equal variance
00:20:14 5.3.2 Equal or unequal sample sizes, equal variance
00:21:59 5.3.3 Equal or unequal sample sizes, unequal variances
00:22:32 5.4 Dependent it/i-test for paired samples
00:23:02 6 Worked examples
00:25:39 6.1 Unequal variances
00:29:27 6.2 Equal variances
00:31:00 7 Alternatives to the it/i-test for location problems
00:33:44 8 A design which includes both paired observations and independent observations
00:35:07 9 Multivariate testing
00:36:03 10 Software implementations
00:38:47 11 See also
00:39:31 12 References
00:43:20 12.1 Citations



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SUMMARY
=======
The t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution under the null hypothesis.
A t-test is most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known.  When the scaling term is unknown and is replaced by an estimate based on the data, the test statistics (under certain conditions) follow a Student's t distribution. The t-test can be used, for example, to determine if the means of two sets of data are significantly different from each other.