Inferential statistics

Confidence intervalss

Margin of error, standard error, confidence level and interval interpretation

Hypothesis testing

Null and alternative hypothesis, statistical significance will, type I and type II errors, test interpretation, false positives and false negatives

Normal distribution

Standard score, percentiles and probabilities, empirical rule and relation to sampling variability

Linear regression

Scatterplots

Correlation and interpretation of r and r2

Regression analysis and least squares regression

Categorical variables

Probability – Introductory rules and computations as applied to

Relative frequency

Accumulated probability

Expected value

Conditional probability

Independent and dependent events

To communicate accurately and effectively in writing and speech. (LSO #1)

To think critically and analytically. (LSO #2)

To use the methods of mathematical and scientific inquiry. (LSO #4)

The following statewide student learning outcomes for quantitative reasoning will be covered in this course:

Interpret information presented in mathematical and/or statistical forms

Illustrate and communicate mathematical and/or statistical information symbolically, visually and/or numerically.

Determine when computations are needed and to execute the appropriate computations.

Apply an appropriate model to the problem to be solved.

Make inferences, evaluate assumptions, and assess limitations in estimation modeling and/or statistical analysis.