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Single Factor Analysis of Variance (ANOVA)
Single Factor Analysis of Variance (ANOVA)

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Alternate form of above in PDF
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... less than some critical value (typically 0.05), the obtained differences in sample variances are unlikely to have occurred based on random sampling from a population with equal variances. Thus, the null hypothesis of equal variances is rejected and it is concluded that there is a difference between ...
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... whose primary job was to write out a web-book on number theory. From there I ended up helping to write two statistics books which he has since made many editions. You might still find those volumes at www.andrews.edu/~calkins. He also provided valuable input on my own book, pointing out some trouble ...
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Confidence Intervals—One Population Mean and Proportion Testing
Confidence Intervals—One Population Mean and Proportion Testing

... Since I never know the true mean of the population, confidence intervals allow me to place around the point estimate (the sample mean) an interval. I can make certain statements about the true, unknown population mean (as long as the sample is selected randomly). Error can still occur, but the error ...
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... Created confidence interval estimates for the mean (σ known) Determined confidence interval estimates for the mean (σ unknown) Created confidence interval estimates for the ...
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ppt - Department of Statistics

Statistics - Mathsrevision.com
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Student's t-test

A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution if the null hypothesis is supported. It can be used to determine if two sets of data are significantly different from each other, and 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 statistic (under certain conditions) follows a Student's t distribution.
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