Nguồn ngoài

Statistics for Public Health (HLTH 10)

Medicine

Tác giả: Silvie Grote
Nhà xuất bản: Irvine Valley College
Nguồn: LibreTexts
Giấy phép: CC BY-NC
Ngôn ngữ: EN
Danh mục: Khoa học cơ bản

Đọc trực tuyến Tải PDF (nguồn mở)

Mục lục· 138 mục

01: Introduction to Statistics for Kinesiology and Public Health
1.01: Introduction
1.02: Chapter 1 Introduction
1.03: Definitions of Statistics Probability and Key Terms
1.04: Data Sampling and Variation in Data and Sampling
1.05: Levels of Measurement
1.06: Experimental Design and Ethics
1.07: Key Terms
1.08: Chapter Review
1.09: References
02: Descriptive vs Inferential Statistics
2.01: Introduction
2.02: Display Data
2.03: Measures of the Location of the Data
2.04: Key Terms
2.05: Chapter Review
2.06: Formula Review
2.07: References
03: Summarizing Data Graphically and Numerically
3.01: Measures of the Center of the Data
3.02: Sigma Notation and Calculating the Arithmetic Mean
3.03: Geometric Mean
3.04: Skewness and the Mean Median and Mode
3.05: Measures of the Spread of the Data
3.06: Key Terms
3.07: Chapter Review
3.08: Formula Review
3.09: References
04: Sample Sapces and Probability
4.01: Introduction
4.02: Terminology
4.03: Independent and Mutually Exclusive Events
4.04: Two Basic Rules of Probability
4.05: Contingency Tables and Probability Trees
4.06: Venn Diagrams
4.07: Key Terms
4.08: Chapter Review
4.09: Formula Review
4.10: References
05: Random Variables and Expected Values
5.01: Introduction
5.02: Properties of Continuous Probability Functions
5.03: The Uniform Distribution
5.04: The Exponential Distribution
5.05: Key Terms
5.06: Chapter Review
5.07: Formula Review
5.08: References
06: Types of Studies
6.01: Research Methods for Kinesiology and Public Health
07: Sampling Methods and Sampling Distribution
08: Discrete Binomial Distributions
8.01: Binomial Distribution
8.02: Geometric Distribution
8.03: Poisson Distribution
8.04: Key Terms
8.05: Chapter Review
8.06: Formula Review
8.07: References
09: Continuous Normal Distributions
9.01: Introduction
9.02: The Standard Normal Distribution
9.03: Using the Normal Distribution
9.04: Key Terms
9.06: References
10: The Central Limit Theorem
10.01: Introduction
10.02: The Central Limit Theorem for Sample Means (Averages)
10.03: Using the Central Limit Theorem
10.04: Key Terms
10.05: Chapter Review
10.06: Formula Review
11: Estimation and Confidence Intervals
11.01: Introduction
11.02: A Confidence Interval When the Population Standard Deviation Is Known or Large Sample Size
11.03: A Confidence Interval When the Population Standard Deviation Is Unknown and Small Sample Case
11.04: A Confidence Interval for A Population Proportion
11.05: Calculating the Sample Size n- Continuous and Binary Random Variables
11.06: Key Terms
11.07: Chapter Review
11.08: Formula Review
11.09: References
12: Hypothesis Testing and Inference - Part 1
12.01: Introduction
12.02: Null and Alternative Hypotheses
12.03: Outcomes and the Type I and Type II Errors
12.04: Probability Distribution Needed for Hypothesis Testing
12.05: Full Hypothesis Test Examples
12.06: Introduction to Comparing Population Means
12.07: Comparing Two Independent Population Means
12.08: Cohen's Standards for Small Medium and Large Effect Sizes
12.09: Test for Differences in Means- Assuming Equal Population Variances
12.10: Comparing Two Independent Population Proportions
12.11: Two Population Means with Known Standard Deviations
12.12: Matched or Paired Samples
12.13: Key Terms
12.14: Chapter Review
12.15: Formula Review
12.16: References
13: Hypothesis Testing and Inference - Part 2
13.01: Introduction
13.02: Facts About the Chi-Square Distribution
13.03: Test of a Single Variance
13.04: Goodness-of-Fit Test
13.05: Test of Independence
13.06: Comparison of the Chi-Square Tests
13.07: Key Terms
13.08: Chapter Review
13.09: Formula Review
14: F Distribution and One-Way ANOVA
14.01: Introduction
14.02: Test of Two Variances
14.03: One-Way ANOVA
14.04: The F Distribution and the F-Ratio
14.05: Facts About the F Distribution
14.06: Key Terms
14.07: Chapter Review
14.08: Formula Review
14.09: References
15: Linear Regression and Correlation
15.01: Introduction
15.02: The Correlation Coefficient r
15.03: Testing the Significance of the Correlation Coefficient
15.04: Linear Equations
15.05: The Regression Equation
15.06: Interpretation of Regression Coefficients- Elasticity and Logarithmic Transformation
15.07: Predicting with a Regression Equation
15.08: Key Terms
15.09: Chapter Review
16: The Use of Technology for Statistics
16.01: General purpose software
16.02: Statistical software
16.03: The very short history of the S and R
16.04: Use advantages and disadvantages of the R
16.05: How to download and install R
16.06: How to start with R
16.07: R and Data
16.08: R graphics