MATH5: INTRO STATISTICS
Course Description
Descriptive analysis and presentation of either single-variable data or bivariate data, probability, probability distributions, normal probability distributions, sample variability, statistical inferences involving one and two populations, analysis of variance, linear correlation and regression analysis. Statistical computer software will be extensively integrated as a tool in the description and analysis of data. The instructor will be using and supporting a TI-83 Plus graphing calculator in all classroom demonstrations. PREREQUISITE: MATH 233, or MATH 240, or MATH 233A and MATH 233B, or MATH 242 with a grade of 'C' or better.
Learning Outcomes
- Describe and analyze data using descriptive statistics including histograms, frequency tables, stem-and-leaf diagrams, boxplots, mean, median, mode, and standard deviation.
- Demonstrate proficiency with calculations of basic probabilities for simple events.
- Identify the difference between discrete and continuous random variables
- Calculate probabilities using a normal probability table or graphing calculator.
- Interpret the Central Limit Theorem and apply the concept to examples.
- Create and interpret confidence intervals estimates of population means and proportions.
- Employ hypothesis test procedures to test claims about single population means and proportions, and two population means and proportions.
- Employ linear correlation and regression to model simple linear relationships.
- Utilize statistical software to analyze and interpret data.
- Demonstrate a synthesis of concepts learned throughout the semester by a group project, which will require students to formulate a survey, collect data, analyze data, and derive inferences from the data.