This is the hypothesis you set up at the beginning of your experiment. You DON\'

Question

This is the hypothesis you set up at the beginning of your experiment. You DON'T actually test this hypothesis directly. Do this when you know the population mean, sample mean and sample size, but not the population standard deviation. Match the concepts on the left with the most appropriate description on the right. Do this when you have two linked samples that differ only in the treatment conditions They should have relatively equal variances in the samples, and you must measure the dependent variable on an interval or ratio scale Do this when you have two independent samples that differ only on the treatment conditions. The dependent variable is measured on a nominal or ordinal scale, and you want to know if the proportion of observations in each category is the same across treatment conditions. Incorrectly rejecting the null hypothesis This is the logical converse of the hypothesis you set up at the beginning of your experiment. It is the ACTUAL hypothesi you are testing statistically. Incorrectly failing to reject the null hypothesis Do this when you know the population mean and standard deviation, and the sample mean and sample size Do this when you have two independent, random samples that differ only in the treatment conditions. They should have relatively equal variances in the samples, and you must measure the dependent variable on an interval or ratio scale

Explanation / Answer

Following is the correct order:

Type I error: E

Type II error: G

1-sample z: H

1-sample t: B

2-sample t : I

Matched pair t: C

Null hypothesis: A

Alternative hypothesis : F

Chi sqaure test of independence: D

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