Transcript title

Intro to Prob Stat 1

Credits

4

Grading mode

Standard letter grades

Total contact hours

40

Lecture hours

40

Recommended preparation

MTH 111 (for MTH 241 or MTH 251) or MTH 105 or minimum placement Math Level 20.

Course Description

Introduces probability and descriptive statistics. Includes critical readings of graphs and data, basic probability theory, random variables, and binomial and normal probability distributions. Culminates with the Central Limit Theorem. A graphing calculator is required. TI -83 or TI -84 recommended.

Course learning outcomes

1. Student will model and solve real-world and theoretical linear programming problems from the general, social, and management sciences; use narrative, symbolic, graphic, and algebraic strategies to design, solve, and explain the models.
2. Student will model and solve real-world and theoretical problems from the general, social, and management sciences using counting theory and probability; narrative, symbolic, and algebraic strategies will be used to model and interpret solutions that use applications of permutations, combinations, the probability function, tree diagrams, and conditional probability models.
3. Student will analyze and describe real-world data sets using descriptive statistics for the general, social, and management sciences; narrative, graphical, and algebraic methods will be used to summarize and quantify data for the purpose of making informed decisions.
4. Student will understand, apply, solve, and interpret the standard forms of linear programming models when applied to specific applications from the general, social, and management sciences.
5. Student will use the graphing calculator to obtain numeric values for the measures of central tendency, measures of dispersion, and for graphical representations of statistical display.

General education/Related instruction lists

• Science not Lab
• Mathematics