MTH 140 Statistics Videos

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1 MTH 140 Statistics Videos Chapter 1 Picturing Distributions with Graphs Individuals and Variables Categorical Variables: Pie Charts and Bar Graphs Categorical Variables: Pie Charts and Bar Graphs Quantitative Variables: Histograms Interpreting Histograms Quantitative Variables: Stemplots Time Plots Chapter 2 Describing Distributions with Numbers Measuring Center: the Mean Measuring Center: the Median Comparing the Mean and the Median Measuring Spread: the Quartiles The Five-Number Summary and Boxplots The Five-Number Summary and Boxplots Spotting Suspected Outliers Measuring Spread: the Standard Deviation Choosing Measures of Center and Spread Chapter 3 Normal Distributions Density Curves Describing Density Curves Normal Distributions The Rule The Standard Normal Distribution Finding Normal Proportions Using the Standard Normal Table Finding a Value Given a Proportion

2 Chapter 4 Scatterplots and Correlation Explanatory and Response Variables Displaying Relationships: Scatterplots Interpreting Scatterplots Adding Correlational Variables to Scatterplots Measuring Linear Association: Correlation Facts about Correlation Chapter 5 Regression Regression Lines The Least-Squares Regression Line Facts about Least-Squares Regression Residuals Influential Observations Cautions about Correlation and Regression Association does Not Imply Causation Chapter 8 Producing Data: Sampling Population vs Sample How to Sample Badly Simple Random Samples Inference about Population Other Sampling Designs Cautions about Sample Surveys Chapter 9 Producing Data: Experiments Observation vs Experiment Subjects, Factors, Treatments How to Experiment Badly Randomized Comparitive Experiments Logic of Randomized Comparative Experiments Cautions about Experimentation Matched Pairs and Other Block Designs

3 Chapter 10 Introducing Probability The Idea of Probability The Search for Randomness Probability Models Probability Rules Discrete Probability Models Continuous Probability Models Random Variables Chapter 11 Sampling Distributions Parameters and Statistics Statistical Estimation and the Law of Large Numbers Sampling Distributions The Sampling Distribution of X Bar The Central Limit Theorem Chapter 12 General Rules of Probability Independence and the Multiplication Rule The General Addition Rule Conditional Probability The General Multiplication Rule Independence Again Tree Diagrams Chapter 14 Introduction to Inference The Reasoning of Statistical Estimation Margin of Error and Confidence Level Confidence Intervals for a Population Mean The Reasoning Tests of Significance Stating Hypotheses P-value and Statistical Significance Tests for a Population Mean Significance from a Table

4 Chapter 15 Thinking about Inference Conditions for Inference in Practice How Confidence Intervals Behave How Significance Tests Behave Planning Studies: Sample Size for Confidence Intervals Planning Studies: The Power of a Statistical Test Chapter 17 Inference About a Population Mean Conditions for Inference About a Mean The t Distributions The One-Sample t Confidence Interval The One-Sample t Test Matched Pairs t Procedures Robustness of t Procedures Chapter 18 Two-Sample Problems Two-Sample Problems Comparing Two Population Means Two-Sample t Procedures Chapter 19 Inference about a Population Proportion The Sample Proportion Large Sample Confidence Intervals Accurate Confidence Intervals for a Proportion Choosing the Sample Size Significance Tests for a Proportion Chapter 20 Comparing Two Proportions Two-Sample Problems: Proportions Sampling Distribution Difference Between Proportions Large Sample Confidence Intervals for Comparing Proportions Accurate Confidence Intervals for Comparing Proportionshttp:// Significance Tests for Comparing Proportions

5 Chapter 22 Two Categorial Variables: The Chi-Square Test Two-way Tables The Problem of Multiple Comparisons Expected Counts in Two-Way Tables The Chi-Square Test Statistic Cell Counts Required for the Chi-Square Test Uses of the Chi-Square Test The Chi-Square Distributions The Chi-Square Test for Goodness of Fit Chapter 23 Inference for Regression Conditions for Regression Inference Estimating the Parameters Testing the Hypothesis of no linear relationship Testing Lack of Correlation Confidence Intervals for the Regression Slope Inference about Prediction Checking the Conditions for Inference

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