# Provide 3 examples of each type of hypothesis you will run into

Item 1: One- tail (upper): Explain the problem you would test for (make up numbers) and state the hypotheses in both numeric and narrative form. Explain why this would be a upper tailed test. Do no calculations or list any formulas.

Item 2: One-tail (lower) Explain the problem you would test for (make up numbers) and state the hypotheses in both numeric and narrative form. Explain why this would be a lower tailed test. Do no calculations or list any formulas.

Item 3: Two- tail: Explain the problem you would test for (make up numbers) and state the hypotheses in both numeric and narrative form. Explain why this would be a upper tailed test. Do no calculations or list any formulas.

Answer three more questions:

Item 4: In a short answer (if possible) explain why the authors state on p. 323: "as the preceding forms show, the equality part of the expression (either >=, <=, or =) always appears in the null hypothesis." Why is this true?

Item 5: What do/may Type I and Type II errors have to do with the type of test you might conduct (upper or lower tail) or the selection of the level of significance?

Item 6: Explain why the phrase "we accept the null hypothesis (Ho) is always is an incorrect statement."

See attached file for full problem description.

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