OS3111 Probability and Statistics for HSI and MOVES

Non-calculus based introduction to basic probability theory and statistics for the non-statistician. Descriptive statistics and graphical techniques. Probability rules including Bayes Rule and independence. Discrete and continuous distributions (Boolean, geometric, binomial, exponential, normal). Expected values, quantiles, variance, covariance, correlation. Expected values and variance of linear combinations of random variables, notably the sample mean. Central Limit Theorem. Student's t-distribution and test, normalization (z-scores), confidence intervals, and introduction to hypothesis testing for the one sample data set, including categorical data. Additional topics may include paired designs, contingency tables and chi-squared test. Prerequisites: None.

Lecture Hours

4

Lab Hours

0

Course Learning Outcomes

Upon successful completion the student will be able to:

• achieve an understanding of the key concepts in descriptive and inferential statistics,
• demonstrate the ability to apply these concepts in a practical way via Excel,

• are a better consumer (and producer) of statistical analysis in systems design and acquisition, increasing your effectiveness as a DoD employee, and
• are prepared for more advanced studies or applications of statistics.