1. Inferential statistics
  2. Confidence intervals
  3. Margin of error, standard error, confidence level and interval interpretation
  4. Hypothesis testing
  5. Null and alternative hypothesis, statistical significance will, type I and type II errors, test interpretation, false positives and false negatives
  6. Normal distribution
  7. Standard score, percentiles and probabilities, empirical rule and relation to sampling variability
  8. Linear regression
  9. Scatterplots
  10. Correlation and interpretation of r and r2
  11. Regression analysis and least squares regression
  12. Categorical variables
  13. Probability – Introductory rules and computations as applied to
  14. Relative frequency
  15. Accumulated probability
  16. Expected value
  17. Conditional probability
  18. Independent and dependent events

The following KSU liberal studies learning outcomes will be addressed in this course:

  • 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.

5. PREREQUISITÉS:

MAT 171 - C or higher or, ACT math subscore ≥ 19 or, SAT math subscore ≥ 460 or, COMPASS math subscore ≥ 36 or, KYOTE College Readiness ≥ 22

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