LTCC: MATH 201 - Elements of Statistics and Probability
- Page ID
- 6444
Learning Objectives
- Design and implement an unbiased study that will produce sound statistical results.
- Generate and interpret statistics and graphs from data that arise from surveys and experiments.
- Implement the rules of probability.
- Apply confidence intervals and test hypotheses to make conclusions about data that come from practical applications.
- Perform regression analysis to make informed predictions about relationships between quantitative variables.
This course will cover data analysis including probability, distributions, sampling, hypothesis testing, confidence intervals, regression analysis, and nonparametric analysis.
- Text
- Front Matter
- 1: Sampling and Data
- 2: Descriptive Statistics
- 3: Probability Topics
- 4: Discrete Random Variables
- 5: Continuous Random Variables
- 6: The Normal Distribution
- 7: The Central Limit Theorem
- 8: Confidence Intervals
- 9: Hypothesis Testing with One Sample
- 10: Hypothesis Testing with Two Samples
- 11: The Chi-Square Distribution
- 12: Linear Regression and Correlation
- 13: F Distribution and One-Way ANOVA
- 14: Back Matter
- 15: Front Matter
- Back Matter