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MGT 235: Introductory Business Statistics

Business

Tác giả: Gettysburg College
Nhà xuất bản: LibreTexts
Nguồn: LibreTexts
Giấy phép: CC BY
Ngôn ngữ: EN
Danh mục: Quản trị kinh doanh

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Mục lục· 116 mục

01: Sampling and Data
1.01: Introduction
1.02: Definitions of Statistics Probability and Key Terms
1.03: Data Sampling and Variation in Data and Sampling
1.04: Levels of Measurement
1.05: Experimental Design and Ethics
1.06: Chapter 1 Key Terms
1.07: Chapter 1 Review
1.08: Chapter 1 Homework
1.09: Chapter 1 Solutions
1.10: Chapter 1 References
02: Descriptive Statistics
2.01: Introduction
2.02: Display Data
2.03: Measures of the Location of the Data
2.04: Measures of the Center of the Data
2.05: Sigma Notation and Calculating the Arithmetic Mean
2.06: Skewness and the Mean Median and Mode
2.07: Measures of the Spread of the Data
2.08: Chapter 2 Key Terms
2.09: Chapter 2 Review
2.10: Chapter 2 Formula Review
2.11: Chapter 2 Homework
2.12: Chapter 2 Solutions
03: Probability
3.01: Introduction to Probability
3.02: Probability Terminology
3.03: Independent and Mutually Exclusive Events
3.04: Two Basic Rules of Probability
3.05: Contingency Tables and Probability Trees
3.06: Chapter 3 Key Terms
3.07: Chapter 3 Review
3.08: Chapter 3 Formula Review
3.09: Chapter 3 Homework
3.10: Chapter 3 Solutions
3.11: Chapter 3 References
04: The Normal Distribution
4.01: Introduction
4.02: The Standard Normal Distribution
4.03: Using the Normal Distribution
4.04: Chapter 4 Key Terms
4.05: Chapter 4 Review
4.06: Chapter 4 Formula Review
4.07: Chapter 4 Homework
4.08: Chapter 4 Solutions
4.09: Chapter 4 References
05: The Central Limit Theorem
5.01: Introduction to the Central Limit Theorem
5.02: The Central Limit Theorem for Sample Means
5.03: Using the Central Limit Theorem
5.04: Chapter 5 Key Terms
5.05: Chapter 5 Review
5.06: Chapter 5 Formula Review
5.07: Chapter 5 Homework
5.08: Chapter 5 Solutions
5.09: Chapter 5 References
06: Confidence Intervals
6.01: Introduction
6.02: A Confidence Interval for a Population Standard Deviation Known or Large Sample Size
6.03: A Confidence Interval for a Population Standard Deviation Unknown Small Sample Case
6.04: A Confidence Interval for A Population Proportion
6.05: Chapter 6 Key Terms
6.06: Chapter 6 Review
6.07: Chapter 6 Formula Review
6.08: Chapter 6 Homework
6.09: Chapter 6 Solutions
6.10: Chapter 6 References
07: Hypothesis Testing with One Sample
7.01: Introduction to Hypothesis Testing
7.02: Null and Alternative Hypotheses
7.03: Outcomes and Type I and Type II Errors
7.04: Distribution Needed for Hypothesis Testing
7.05: Full Hypothesis Test Examples
7.06: Chapter 7 Key Terms
7.07: Chapter 7 Review
7.08: Chapter 7 Formula Review
7.09: Chapter 7 Homework
7.10: Chapter 7 Solutions
7.11: Chapter 7 References
08: Hypothesis Testing with Two Samples
8.01: Introduction
8.02: Comparing Two Independent Population Means
8.03: Cohen's Standards for Small Medium and Large Effect Sizes
8.04: Comparing Two Independent Population Proportions
8.05: Matched or Paired Samples
8.06: Chapter 8 Key Terms
8.07: Chapter 8 Review
8.08: Chapter 8 Formula Review
8.09: Chapter 8 Homework
8.10: Chapter 8 Solutions
8.11: Chapter 8 References
09: F-Distribution and One-Way ANOVA
9.01: Introduction
9.02: One-Way ANOVA
9.03: The F-Distribution and the F-Ratio
9.04: Chapter 9 Key Terms
9.05: Chapter 9 Review
9.06: Chapter 9 Formula Review
9.07: Chapter 9 Homework
9.08: Chapter 9 Solutions
9.09: Chapter 9 References
10: Linear Regression and Correlation
10.01: Introduction
10.02: The Correlation Coefficient r
10.03: Testing the Significance of the Correlation Coefficient
10.04: Linear Equations
10.05: The Regression Equation
10.06: How to Use Microsoft Excel for Regression Analysis
10.07: Chapter 10 Key Terms
10.08: Chapter 10 Review
10.09: Chapter 10 Homework
10.10: Chapter 10 Solutions
11: Appendices
11.01: A - Statistical Tables
11.02: B - Mathematical Phrases Symbols and Formulas
11.03: C - Reporting Statistics in APA Style