1. Introduction *a. define a hypothesis, describe the steps of hypothesis testing, and describe and interpret the choice of the null and alternative hypotheses;*
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2. Null Hypothesis and Alternative Hypothesis *b. distinguish between one-tailed and two-tailed tests of hypotheses;*
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3. Test Statistic and Significance Level *c. explain a test statistic, Type I and Type II errors, a significance level, and how significance levels are used in hypothesis testing;*
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4. Type I and Type II Errors in Hypothesis Testing *c. explain a test statistic, Type I and Type II errors, a significance level, and how significance levels are used in hypothesis testing;*
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5. The Power of a Test *d. explain a decision rule, the power of a test, and the relation between confidence intervals and hypothesis tests;*
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6. The Decision Rule *e. distinguish between a statistical result and an economically meaningful result;*
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f. explain and interpret the p-value as it relates to hypothesis testing;*
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7. The Relationship between Confidence Intervals and Tests of Significance *d. explain a decision rule, the power of a test, and the relation between confidence intervals and hypothesis tests;*
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8. Hypothesis Tests Concerning the Mean: T-Test vs. Z-Test *g. 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;*
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9. Hypothesis Tests Concerning Differences between Means *h. 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;*
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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;*
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11. Hypothesis Tests Concerning a Single Variance *j. 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;*
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12. Hypothesis Tests Concerning Differences between Variances *j. 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;*
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13. Parametric and Non-Parametric Tests *k. distinguish between parametric and nonparametric tests and describe situations in which the use of nonparametric tests may be appropriate.*
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