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The F-test is designed to test if two population variances are equal. It compares the ratio of two variances. If the variances are equal, the ratio of the variances will be 1.
The F-test provides the basis for ANOVA which can compare two or more groups.
- One-way (or one-factor) ANOVA: Tests the hypothesis that means from two or more samples are equal.
- Two-way (or two-factor) ANOVA: Simultaneously tests the hypothesis that the means of two variables from two or more groups are equal.
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What is ANOVA related to statistics?
ANOVA is an inferential statistic used to test if 3 or more population means are equal or to test the affects of interactions.
What are the criteria for duncan's multiple range test in statistics?
same as one way anova population variance equal among groups noramlly distributed independent samples
What are the different divisions of statistics?
Parametric and non-parametric statistics.Another division is descriptive and inferential statistics.Descriptive and Inferential statistics. Descriptive statistics describes a population (e.g. mean, median, variance, standard deviation, percentages). Inferential infers some information about a population (e.g. hypothesis testing, confidence intervals, ANOVA).
What is the null hypothesis of a one-way ANOVA What is the alternate hypothesis?
Null hypothesis of a one-way ANOVA is that the means are equal. Alternate hypothesis a one-way ANOVA is that at least one of the means are different.
Is a t-test a descriptive statistic?
A t-test is a inferential statistic. Other inferential statistics are confidence interval, margin of error, and ANOVA. An inferential statistic infers something about a population. A descriptive statistic describes a population. Descriptive statistics include percentages, means, variance, and regression.
