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Real World Statistics: Free Statistics Tutorial Videos

Looking for a clear explanation of a statistics concept or a video you can share with students? These free tutorial videos accompany Real World Statistics: A Student's Guide to Understanding and Using Data, but they can also be used independently.


The videos cover the core topics in an introductory statistics course, from describing and comparing data through probability, sampling, confidence intervals, hypothesis testing, and regression. Many sections also include demonstrations using the TI-84, Google Sheets, or Desmos.

Statistics Unit 1: Introduction to Data and Statistics

Statistics Unit 3: Displaying & Summarizing Quantitative Data

Statistics Unit 2: Displaying & Describing Categorical Data

-What is Statistics?-

-Contextualizing Data-

-Categorical versus Quantitative Variables-

Statistics Unit 2: Displaying & Describing Categorical Data

Statistics Unit 3: Displaying & Summarizing Quantitative Data

Statistics Unit 2: Displaying & Describing Categorical Data

-Frequency and Relative Frequency Tables-

-Drawing and Interpreting Pie Charts-

-Drawing and Interpreting Bar Graphs-

-Working with Contingency Tables-

-Drawing Side by Side Bar Graphs-

-Interpreting Contingency Tables-

Statistics Unit 3: Displaying & Summarizing Quantitative Data

Statistics Unit 3: Displaying & Summarizing Quantitative Data

Statistics Unit 3: Displaying & Summarizing Quantitative Data

-Drawing & Understanding Histograms-

-How to Make a Stem and Leaf Display-

-Shape of a Distribution-

-Finding a Median-

-5 Number Summary, Range & Interquartile Range-

-Introduction to Outliers-

-Finding the Mean-

-Finding the Standard Deviation-

-Finding the Measures of Central Tendency and Quartiles for a List Using the TI-84-

-Finding the Measures of Central Tendency and Quartiles for a Table Using the TI-84-

-Finding Mean, Mode, Median, and Quartiles and Draw a Histogram in Google Sheets-


Statistics Unit 4: Comparing Distributions

Statistics Unit 6: Scatter Plots, Association, and Correlation

Statistics Unit 3: Displaying & Summarizing Quantitative Data

-Box and Whisker Plot with No Outliers-

-Determining an Outlier Using the 1.5 IQR Rule-

-Box and Whisker Plot with Outliers-

-Matching Histograms with Box Plots-

-Comparing Box Plots-

-Creating Box and Whisker Plots in Google Sheets and Desmos-

Statistics Unit 5: Standard Deviation and The Normal Model

Statistics Unit 6: Scatter Plots, Association, and Correlation

Statistics Unit 6: Scatter Plots, Association, and Correlation

-Standardizing Values by Finding Z-Scores-

-The Normal Model and the 68-95-98.7 Rule-

-Finding Normal Percentiles Using a Z Score Table-

-Using NormalCDF in the TI 84 to Find Probability-

-Using INVNorm in the TI 84-

Statistics Unit 6: Scatter Plots, Association, and Correlation

Statistics Unit 6: Scatter Plots, Association, and Correlation

Statistics Unit 6: Scatter Plots, Association, and Correlation

-Scatter Plots, Association, and Correlation-

-An Introduction to the Correlation Coefficient-

-Finding the Correlation Coefficient and Line of Best Fit Using the TI-84-

-Calculating the Correlation Coefficient and Best Fit Regression Using Google Sheets-

-Linear Regression-

-Assumptions and Conditions for Regression-

Statistics Unit 7: Understanding Randomness and Bias

Statistics Unit 7: Understanding Randomness and Bias

Statistics Unit 7: Understanding Randomness and Bias

-What is a Simulation?-

-Designing a Simulation-

-Designing a Simulation Involving Probability-

-Survey Sampling Methods-

-Top 10 Tips for Survey Writing-

-Observational Studies versus Experiments-

-Statistics Experiments-

Statistics Unit 8: Randomness and Probability

Statistics Unit 7: Understanding Randomness and Bias

Statistics Unit 7: Understanding Randomness and Bias

-Introduction to Probability-

-Sample Space-

-Law of Large Numbers-

-Addition Rule of Probability-

-The Multiplication Rule of Probability-

-Mutually Exclusive Events-

-Introduction to Conditional Probability-

Probability with Tree Diagrams-

-Conditional Probability and Tree Diagrams-

-Binomial Distribution-

-Using BinomialPDF and BinomialCDF in the TI-84-

Statistics Unit 9: Sampling Distribution Models

Statistics Unit 7: Understanding Randomness and Bias

Statistics Unit 9: Sampling Distribution Models

-The Central Limit Theorem for Sample Proportions-

-Conditions for the Central Limit Theorem for Sample Proportions-

-The Central Limit Theorem for Sample Means-

-Confidence Intervals for Population Proportions-

-Confidence Intervals for Population Means-

-Confidence Intervals for Comparing Two Groups-

Statistics Unit 10: Hypothesis Testing

Statistics Unit 10: Hypothesis Testing

Statistics Unit 9: Sampling Distribution Models

-Introduction to Hypothesis Testing-

-Chi-Square Testing-

-Conducting a Chi-Square Test on the TI-84-

-Setting up a Chi-Square Test on Google Sheets-

-One Sample and Two Sample T-Tests-

-How to Run a T-Test using the TI-84-

-How to Run T-Tests in Google Sheets-

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