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Math 142: Course Material
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Mục lục· 51 mục
- 01: Math 142 course sequence map with OpenStax Text
- 01: Math 142 Course Map
- 02: Chapter 2
- New Page
- 03: Chapter 3
- Ch 1.1 Key Terms and Introduction
- Ch 1.2 part 1 Types of data summarize categorical data percent review
- Ch 1.2 Part 2 Sampling Method
- Ch 1.3 Frequency Distribution (GFDT)
- New Page
- 04: Chapter 4
- Ch 2.1 Stemplots and Dotplots
- Ch 2.2 Histogram
- Ch 2.3 and 2.4 Percentile boxplot and outliers
- Ch 2.5 and 2.6 Measure of Center and Skewness
- Ch 2.7 Measure of Spread and Variation
- 05: Chapter 5
- Ch 3.1 Definitions and Terms
- Ch 3.2 Independent and Mutually Exclusive Events
- Ch 3.3 Addition and Multiplication Rule
- Ch 3.4 Sampling with without replacement
- 06: Chapter 4 lecture notes
- Ch 4.1 Discrete Random Variable
- Ch 4.2 Application of Probability Distribution
- Ch 4.3 Binomial Distribution
- 07: Ch 5 and 6 Lecture Notes
- Ch 5.1 Continuous Random Variable and Density Curve
- Ch 6.1 Standard Normal Distribution
- Ch 6.2 Application of Normal Distribution
- 08: Chapter 7 Lecture Notes
- Ch 7.1 Central Limit Theorem for Sample Means
- Ch 7.2 Central Limit Theorem for Sample Total
- 09: Chapter 8 Lecture Notes
- Ch 8.1 Confidence Interval for Population Mean
- Ch 8.2 Confidence Interval for Mean One Sample No Sigma
- Ch 8.3 Confidence Interval for Population Proportion
- 10: Chapter 9 Lectures Notes
- Ch 9.1 9.3 and 9.4 Hypothesis Test Basic
- Ch 9.2 Hypothesis Errors
- Ch 9.5 part 1 Hypothesis Test for Population Proportion
- Ch 9.5 part 2 Hypothesis Test for Population Mean
- 11: Chapter 10 Lecture Notes
- Ch 10.1 and 10.4 Hypothesis Test for 2 Population Means
- Ch 10.3 Hypothesis Test for 2 Proportions
- 11: Chapter 11 Lecture Notes
- Ch 11.1 Chi-square Distribution
- New Page
- 13: Chapter 12 Lecture Notes
- Ch 12.2 and 12.4 Scatter Plot and Correlation
- Ch 12.3 and Ch 12.1 Linear regression
- Ch 12.5 Prediction