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This course presents techniques for analyzing data and uses of inferential statistics. Students examine the applications of hypothesis testing using normal probability distribution, t-distribution, analysis of variance (ANOVA), linear regression, and nonparametric data.
Construct confidence intervals for population means.
Describe the distribution of sample proportions.
Utilize hypothesis testing to formulate a decision about a claim.
Compute the probability of Type II errors.
Verify that residuals are normally distributed.
Perform tests of hypothesis to determine whether the variances of two populations are equal.
Interpret the summary output of ANOVA tables.
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