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##### Learning Outcome Statements
 1. Introductiona. define a hypothesis, describe the steps of hypothesis testing, and describe and interpret the choice of the null and alternative hypotheses; 2. Null Hypothesis and Alternative Hypothesisb. distinguish between one-tailed and two-tailed tests of hypotheses; 3. Test Statistic and Significance Levelc. explain a test statistic, Type I and Type II errors, a significance level, and how significance levels are used in hypothesis testing; 4. Type I and Type II Errors in Hypothesis Testingc. explain a test statistic, Type I and Type II errors, a significance level, and how significance levels are used in hypothesis testing; 5. The Power of a Testd. explain a decision rule, the power of a test, and the relation between confidence intervals and hypothesis tests; 6. The Decision Rulee. distinguish between a statistical result and an economically meaningful result; f. explain and interpret the p-value as it relates to hypothesis testing; 7. The Relationship between Confidence Intervals and Tests of Significanced. explain a decision rule, the power of a test, and the relation between confidence intervals and hypothesis tests; 8. Hypothesis Tests Concerning the Mean: T-Test vs. Z-Testg. identify the appropriate test statistic and interpret the results for a hypothesis test concerning the population mean of both large and small samples when the population is normally or approximately distributed and the variance is 1) known or 2) unknown; 9. Hypothesis Tests Concerning Differences between Meansh. identify the appropriate test statistic and interpret the results for a hypothesis test concerning the equality of the population means of two at least approximately normally distributed populations, based on independent random samples with 1) equal or 2) unequal assumed variances; 10. Hypothesis Tests Concerning Mean Differences (Paired Comparisons Test)i. identify the appropriate test statistic and interpret the results for a hypothesis test concerning the mean difference of two normally distributed populations; 11. Hypothesis Tests Concerning a Single Variancej. identify the appropriate test statistic and interpret the results for a hypothesis test concerning 1) the variance of a normally distributed population, and 2) the equality of the variances of two normally distributed populations based on two independent random samples; 12. Hypothesis Tests Concerning Differences between Variancesj. identify the appropriate test statistic and interpret the results for a hypothesis test concerning 1) the variance of a normally distributed population, and 2) the equality of the variances of two normally distributed populations based on two independent random samples; 13. Parametric and Non-Parametric Testsk. distinguish between parametric and nonparametric tests and describe situations in which the use of nonparametric tests may be appropriate.
I passed! I did not get a chance to tell you before the exam - but your site was excellent. I will definitely take it next year for Level II.