1. Before we can claim a true relationship between variables, what alternative explanations for an apparent relationship must be eliminated?

2. Which one of the alternative explanations does statistical testing examine?

3. What alternative explanations are controlled primarily by the design of research study?

4. What are some other terms for sampling error that are sometimes used?

5. What is the difference between a Type I and a Type II error? How does reducing the likelihood of committing one affect the likelihood of committing the other when the rejection level is adjusted either up or down from .05?

6. What is the null form of a statement (the null hypothesis) for a directional hypothesis about the relationship between the variables age and political party preference?

7. What is the relationship between the null hypothesis and sampling error in hypothesis testing?

Subject | Mathematics |

Due By (Pacific Time) | 11/18/2013 12:00 am |

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