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Chapter 14: Hypothesis Tests – Small Samples

653

̅

√ ⁄

will follow a

distribution with (

– 1) degrees of freedom. We can

then use this as the test statistic to perform tests for dependent sets of data.

The test will require that the population standard deviation of the

differences,

to be unknown, the sample size

of the differences be small

(

< 30), and that the sampling distribution of the differences to be normal.

Note:

The set up for the hypothesis tests will be the same as the small

sample

test except now we will be performing tests around the parameter

Summary of Hypothesis Tests

(a) Right –tailed (one-tailed) Test

0

> 0

̅

√ ⁄

For a specified significance level

, reject the null hypothesis if

the computed test statistic value

is greater than

.

Conclusion

: ……….

Note:

This is a right-tailed test because the direction of the inequality sign

in the alternative hypothesis is to the right.

(b) Left –tailed (one-tailed) Test

0

< 0

̅

√ ⁄