STAT 1st edition

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Robert Johnson and Patricia Kuby
Publisher: Cengage Learning

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  • Chapter 1: Statistics
    • 1.1: What is Statistics? (14)
    • 1.2: Measurability and Variability (4)
    • 1.3: Data Collection (14)
    • 1.4: Comparison of Probability and Statistics (4)
    • 1.5: Statistics and Technology

  • Chapter 2: Descriptive Analysis and Presentation of Single-Variable Data
    • 2.1: Graphs, Pareto Diagrams, and Stem-and-Leaf Displays (2)
    • 2.2: Frequency Distributions and Histograms (4)
    • 2.3: Measures of Central Tendency (5)
    • 2.4: Measures of Dispersion (4)
    • 2.5: Measures of Position (5)
    • 2.6: Interpreting and Understanding Standard Deviation (5)
    • 2.7: The Art of Statistical Deception

  • Chapter 3: Descriptive Analysis and Presentation of Bivariate Data
    • 3.1: Bivariate Data (7)
    • 3.2: Linear Correlation (10)
    • 3.3: Linear Regression (11)

  • Chapter 4: Probability
    • 4.1: Probability of Events (8)
    • 4.2: Conditional Probability of Events (6)
    • 4.3: Rules of Probability (11)
    • 4.4: Mutually Exclusive Events (7)
    • 4.5: Independent Events (6)
    • 4.6: Are Mutual Exclusiveness and Independence Related? (3)

  • Chapter 5: Probability Distributions (Discrete Variables
    • 5.1: Random Variables (3)
    • 5.2: Probability Distributions of a Discrete Probability Distribution (5)
    • 5.3: Mean and Variance of a Discrete Probability Distribution (7)
    • 5.4: The binomial Probability Distribution (10)
    • 5.5: Mean and Standard Deviation of the Binomial Distribution (4)

  • Chapter 6: Normal Probability Distributions
    • 6.1: Normal Probability Distribution (1)
    • 6.2: The Standard Normal Distribution (14)
    • 6.3: Applications of Normal Distributions (7)
    • 6.4: Notation (7)
    • 6.5: Normal Approximation of the Binomial (8)

  • Chapter 7: Sample Variability
    • 7.1: Sampling Distributions (3)
    • 7.2: The Sampling Distribution of Sample Means (7)
    • 7.3: Application of the Sampling Distribution of Sample Means (12)

  • Chapter 8: Introduction to Statistical Inferences
    • 8.1: The Nature of Estimation (7)
    • 8.2: Estimation of Mean µ (σ Known) (10)
    • 8.3: The Nature of Hypothesis Testing (7)
    • 8.4: Hypothesis Test of Mean µ (σ Known): A Probability-Value Approach (10)
    • 8.5: Hypothesis Test of Mean µ (σ Known): A Classical Approach (5)

  • Chapter 9: Inferences Involving One Population
    • 9.1: Inferences about the Mean µ (σ Known) (15)
    • 9.2: Inferences about the Binomial Probability of Success (11)
    • 9.3: Inferences about the Variance and Standard Deviation (9)

  • Chapter 10: Inferences Involving Two Populations
    • 10.1: Dependent and Independent Samples
    • 10.2: Inferences Concerning the Mean Difference Using Two Dependent Samples (8)
    • 10.3: Inferences Concerning the Difference Between Means Using Two Independent Samples (6)
    • 10.4: Inferences Concerning the Difference between Proportions Using Two Independent Samples (6)
    • 10.5: Inferences Concerning the Ration of Variances Using Two Independent Samples (6)

  • Chapter 11: Applications of Chi-Square
    • 11.1: Chi-Square Statistic (5)
    • 11.2: Inferences Concerning Multinomial Experiments (11)
    • 11.3: Inferences Concerning Contingency Tables (10)

  • Chapter 12: Analysis of Variance
    • 12.1: Analysis of Variance Technique - An Introduction (5)
    • 12.2: The Logic behind ANOVA (2)
    • 12.3: Applications of Single-Factor ANOVA (23)

  • Chapter 13: Linear Correlation and Regression Analysis
    • 13.1: Linear Correlation Analysis (5)
    • 13.2: Inferences about the Linear Correlation Coefficient (9)
    • 13.3: Linear Regression Analysis (3)
    • 13.4: Inferences concerning the Slope of the Regression Line (5)
    • 13.5: Confidence Intervals for Regression (5)
    • 13.6: Understanding the Relationship between Correlation and Regression

  • Chapter 14: Elements of Nonparametric Statistics
    • 14.1: Nonparametric Statistics
    • 14.2: Comparing Statistical Tests
    • 14.3: The Sign Test (10)
    • 14.4: The Mann-Whitney U Test (6)
    • 14.5: The Runs Test (10)
    • 14.6: Rank Correlation (9)

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E - Exercises


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Group Quantity Questions
Chapter 1: Statistics
1.E 36 001 002 004 006 007 008 010 015 016 018 019 020 021 022 023 024 026 027 028 029 031 033 034 035 036 038 039 040 041 042 044 045 046 047 048 049
Chapter 2: Descriptive Analysis and Presentation of Single-Variable Data
2.E 25 003 004 006 007 008 009 013 014 015 016 017 021 022 023 024 026 027 029 030 031 032 033 034 035 036
Chapter 3: Descriptive Analysis and Presentation of Bivariate Data
3.E 28 001 002 004 005 006 009 010 011 012 013 014 015 016 017 018 019 020 021 022 024 025 026 027 028 029 030 031 032
Chapter 4: Probability
4.E 41 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 028 029 030 031 032 033 034 035 038 039 041 043 047 049 051
Chapter 5: Probability Distributions (Discrete Variables
5.E 29 003 004 005 007 008 011 012 013 017 019 020 021 022 024 025 029 033 034 035 036 037 038 039 040 041 043 047 048 049
Chapter 6: Normal Probability Distributions
6.E 37 001 003 004 005 006 007 008 009 010 011 012 013 014 015 016 018 019 021 022 023 024 025 028 029 032 033 034 035 036 040 041 042 043 045 046 047 049
Chapter 7: Sample Variability
7.E 22 001 002 003 009 010 011 012 013 014 015 018 019 020 021 022 023 024 025 026 027 028 029
Chapter 8: Introduction to Statistical Inferences
8.E 39 001 002 003 004 007 008 009 012 013 014 017 018 019 020 021 022 023 024 025 027 029 030 031 035 036 037 038 039 040 041 042 043 044 045 047 048 049 050 051
Chapter 9: Inferences Involving One Population
9.E 35 001 002 003 005 006 007 008 010 011 012 013 014 015 016 017 018 020 021 022 023 024 025 026 027 028 032 033 034 035 036 037 038 039 040 044
Chapter 10: Inferences Involving Two Populations
10.E 26 007 009 010 011 012 013 014 016 017 018 019 020 021 023 024 025 026 027 028 029 031 032 033 034 035 036
Chapter 11: Applications of Chi-Square
11.E 26 001 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027
Chapter 12: Analysis of Variance
12.E 30 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030
Chapter 13: Linear Correlation and Regression Analysis
13.E 27 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027
Chapter 14: Elements of Nonparametric Statistics
14.E 35 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035
Total 436