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Study Edge Statistics
  • Chapter 1: Exploring Data
    • 1.01 Introduction to Statistics
    • 1.02 Statistics and Parameters
    • 1.03 Categorical and Quantitative Data
  • Chapter 2: Data Collection, Sampling, and Experimental Design
    • 2.01 Sample Surveys
    • 2.02 Sources of Bias in Sampling and Surveys
    • 2.03 Sampling Methods, Part 1
    • 2.04 Sampling Methods, Part 2
    • 2.05 Experiments vs. Observational Studies
    • 2.06 Three Principles of Experimental Design
    • 2.07 Lurking and Confounding Variables
    • 2.08 Generalizability of Results and Conclusions
  • Chapter 3: Representing Categorical Data
    • 3.01 Frequency Tables
    • 3.02 Joint, Marginal, and Conditional Frequencies
    • 3.03 Pie Charts
    • 3.04 Bar Charts
    • 3.05 Comparing Distributions
  • Chapter 4: Representing Quantitative Data
    • 4.01 Frequency Tables
    • 4.02 Cumulative Frequency Tables
    • 4.03 Dot Plots and Comparing Distributions
    • 4.04 Stemplots and Comparing Distributions
    • 4.05 Histograms and Comparing Distributions
    • 4.06 Box Plots and Comparing Distributions
  • Chapter 5: Measuring Center and Spread
    • 5.01 Measuring Center of a Distribution
    • 5.02 Measuring Spread of a Distribution
    • 5.03 Outliers
    • 5.04 Visualizing and Transforming Data: Implications for Mean and Standard Deviation
    • 5.05 Introduction to the Empirical Rule
    • 5.06 The Normal Distribution
  • Chapter 6: Probability
    • 6.01 Probability and the Law of Large Numbers
    • 6.02 Probability Terminology
    • 6.03 Venn Diagrams
    • 6.04 Independent and Mutually Exclusive Events
    • 6.05 Contingency Tables
    • 6.06 Tree Diagrams
    • 6.07 Discrete Random Variables
    • 6.08 The Binomial Distribution
    • 6.09 Binomial Approximation
  • Chapter 7: Sampling Distributions
    • 7.01 Variability in Sample Proportions, Part 1
    • 7.02 Variability in Sample Proportions, Part 2
    • 7.03 Variability in Sample Means
    • 7.04 Using the Central Limit Theorem
  • Chapter 8: Confidence Intervals
    • 8.01 Introduction to Confidence Intervals
    • 8.02 Confidence Interval for One Mean
    • 8.03 Visualizing a Confidence Interval
    • 8.04 Interpreting Confidence Intervals
    • 8.05 Confidence Interval for One Proportion
    • 8.06 Factors Affecting the Width of a Confidence Interval
    • 8.07 Confidence Intervals in the Real World
  • Chapter 9: Hypothesis Testing
    • 9.01 Steps of Hypothesis Testing
    • 9.02 Hypothesis Test for One Mean, Part 1
    • 9.03 Hypothesis Test for One Mean, Part 2
    • 9.04 Statistical Significance vs Practical Significance
    • 9.05 Hypothesis Test for One Proportion, Part 1
    • 9.06 Hypothesis Test for One Proportion, Part 2
    • 9.07 Type I and Type II Errors
  • Chapter 10: Comparing Two Groups
    • 10.01 Choosing the Right Case
    • 10.02 Confidence Interval for Two Independent Means
    • 10.03 Hypothesis Test for Two Independent Means
    • 10.04 Confidence Interval for Two Independent Proportions
    • 10.05 Hypothesis Test for Two Independent Proportions
  • Chapter 11: Exploring Bivariate Data
    • 11.01 Scatterplots
    • 11.02 Correlation
    • 11.03 Determining the Line of Best Fit
    • 11.04 Making Predictions
    • 11.05 Interpreting Slope and y-Intercept
    • 11.06 The Median-Median Line and Least Absolute Value Line
    • 11.07 Outliers and Influential Points
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SE Resource updt

3.05 Comparing Distributions

Resource ID: SE131045
Grade Range: 9 - 12
Sections
3.05 Comparing Distributions

3.05 Comparing Distributions

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