Unformatted text preview: g a significance test, we follow these steps:
1. Check assumptions.
2. State the null and alternate hypotheses.
3. Graph the rejection region, labeling the critical values.
4. Calculate the test statistic.
5. Find the pvalue. If this answer is less than the significance level, α , we can reject the null
hypothesis in favor of the alternate.
6. Give your conclusion using the context of the problem. When stating the conclusion you can
give results with a confidence of ( 1 − α )(100)%.
z – test
Assumptions:
1. An SRS of size n from the population.
2. Known population standard deviation, σ .
3. Either a normal population or a large sample ( n ≥ 30 ).
To compute the z – test statistic, we use the formula: z = x − µ0 σ/ n . t – test
Assumptions:
1. An SRS of size n from the population.
2. Unknown population standard deviation.
3. Either a normal population or large sample ( n ≥ 30 ).
To compute the t – test statistic, we use the formula: t =
deviation. The t – test will use n...
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 Spring '08
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 Statistics, Null hypothesis, Statistical hypothesis testing, $76.42, $312.34, $325.16

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