| Course Goals |
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1.
Learners assimilate the terminology, relationships, and methodology used in statistics by:
- apply the formulas, graphs, and techniques presented in the course to statistical situations found in the everyday world;
- recognizing the probabilistic nature of all actions that one undertakes; and
- making responsible decisions based on statistical methods.
2.
Learners make estimates and determine sample sizes for population means, proportions, and variances by:
- calculating point estimates for the mean, proportion, and variance of a set of sample data;
- calculating confidence intervals for the mean, proportion, and variance of a set of sample data; and
- determining sample sizes for a given mean, proportion, and variance of a set of sample data.
3.
Learners understand and apply the basic concepts and procedures used for testing claims about population parameters:
- identifying the formal components of the standard method of hypothesis testing (null/alternative claims, P-values, and confidence intervals);
- applying traditional hypothesis testing for claims made about population means;
- applying traditional hypothesis testing for claims made about population proportions (percentages); and
- applying traditional hypothesis testing for claims made about the standard deviation or variance of a population.
4.
Learners understand and apply methods for hypothesis testing and the construction of confidence intervals involving two populations by:
- constructing confidence intervals as estimates of the difference between two population means;
- determining critical values for hypothesis testing of two population variances; and
- making inferences about two population proportions.
5.
Learners understand and apply the concepts of correlation and regression when dealing with relationships between two variables (paired data) in one population by:
- determining the correlation of paired data using scatter diagrams and linear correlation coefficient; and
- analyzing paired data using the regression equation.
6.
Learners understand and apply goodness-of-fit procedures and contingency tables by:
- understanding and applying goodness-of-fit tests in multinomial experiments; and
- applying two-way frequency tables (contingency tables) to analyze survey results.
7.
Learners apply hypothesis testing to three or more populations by:
- applying the basic methods of analysis of variance (ANOVA) to test the claim that three or more populations have the same mean; and
- interpreting computer displays of ANOVA calculations to test claims of multiple populations.
8.
Learners use a statistical computer software package to organize, interpret, and produce data reports by:
- learning to use a statistical software package;
- performing appropriate calculations with the statistical software package;
- assimilating and organizing the results of calculations obtained using a statistical software package;
- working in a group setting;
- deducing appropriate conclusions, and
- communicating the results verbally and/or in writing.
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