- Definitions (matching). Seventeen parts. Answers may be repeated. Some answers are not used. You should know the definitions / descriptions of: Null Hypothesis, Alternative Hypothesis, Level of Significance, Level of Confidence, Probability Value, Type I Error, Type II Error, Critical Region, Critical Value, Test Statistic, Independent Samples, Dependent Samples, Kolmogorov Smirnov Test, Q-Q Plot.
- Know the assumption fundamental to all hypothesis testing.
- You are given a situation. Decide which is the null and alternative hypotheses. Decide which error is type I and which error is type II. Similar to the "OJ" problem worked in class from section 7.2
- Know the properties of the F distribution. Multiple choice, circle all correct responses.
- T-F: Know that the probability value allows you to make a decision without knowing anything about the underlying distribution.
- T-F: Know what two things are compared to reach a decision when using the classical approach to hypothesis testing?
- T-F: Know the relationship between the probability value for a one-tail test and a two-tail test.
- T-F: Know when the binomial can be approximated using the normal.
- T-F: Know that a sample must be from an essentially normal distribution to use the student's t (page 378, item 3b), chi-square (page 396 - assumption in blue box), and F (page 436, item 2) distributions
- Use the normal or student's t table to look up a probability-value when the test statistic is known (read section on p-values on pages 382-383, especially the first example)
- Use the normal or student's t table to find the critical value.
- Given the critical value(s) and test statistic, identify the test as left, right, or two-tailed and write the decision (Reject the null hypothesis or Fail to reject the null hypothesis). This is very similar to activity 7. Three parts.
- Given a probability value and level of significance, write the decision. Two parts.
- Write the null and alternative hypotheses for the given claim. The claim could be about one or two means, proportions, variances or standard deviations. Also identify whether the test is a left-tailed, right-tailed, or two-tailed test (based on the alternative hypothesis). Five parts. If you have two samples, be sure to define your subscripts or use appropriate letters (ex: M for male, F for Female)
- A normal probability plot is shown. We called it a Q-Q Plot with the calculator program. Basically, the data is approximately normal if the q-q plot doesn't deviate too much from a line.
- Output from SPSS is given. Identify the test as about one or two means, proportions, or standard deviations; write the original claim symbolically; write the null and alternative hypotheses; identify as left, right or two-tailed; give the test statistic, and p-value from SPSS; give the decision; give the conclusion. Be able to state how the condition of normality is met.
- An unknown (to you) test is performed and a p-value is given. Be able to write the conclusion based on the p-value.
- Statdisk hypothesis test. Identify the test as about one or two means, proportions, or standard deviations; write the original claim symbolically; write the null and alternative hypotheses; identify as left, right or two-tailed; give the critical value(s), test statistic, and p-value from statdisk; give the decision; give the conclusion. Be able to state how the condition of normality is met.
- Statdisk hypothesis test. Same questions as #18.
- Statdisk hypothesis test. Same questions as #18.

# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |

Pts | 17 | 2 | 2 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | |

# | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | Total |

Pts | 2 | 6 | 2 | 10 | 2 | 9 | 2 | 10 | 10 | 10 | 100 |