7.02 Variability in Sample Proportions, Part 2
In this video, students learn to describe and model variability using a binary population distribution, and the sampling distribution of a sample proportion.
7.03 Variability in Sample Means
In this video, students describe and model variability using a continuous population distribution, and the sampling distribution of a sample mean.
7.04 Using the Central Limit Theorem
In this video, students use the central limit theorem to describe variability using a sample mean.
9.01 Steps of Hypothesis Testing
In this video, students will learn the steps of hypothesis testing and how to interpret its results.
9.02 Hypothesis Test for One Mean, Part 1
In this video, students will learn how to perform a hypothesis test for one mean.
9.03 Hypothesis Test for One Mean, Part 2
In this video, students will learn how to perform a hypothesis test for one mean and interpret its results.
9.04 Statistical Significance vs Practical Significance
In this video, students will learn the difference between statistical significance and practical significance.
9.05 Hypothesis Test for One Proportion, Part 1
In this video, students will learn how to perform a hypothesis test for one proportion.
9.06 Hypothesis Test for One Proportion, Part 2
In this video, students will learn how to perform and interpret a hypothesis test for one proportion.
9.07 Type I and Type II Errors
In this video, students will learn about the potential impact of Type I and Type II errors.
4.03 Dot Plots and Comparing Distributions
In this video, we construct our first visual beyond listing data: dot plots. We also begin our discussion of center, shape, spread, and outliers, and compare dot plots.
4.04 Stemplots and Comparing Distributions
In this video, we construct and compare stemplots, and continue our conversation about shape, center, spread, and outliers.
4.05 Histograms and Comparing Distributions
In this video, we construct histograms and use them to compare data distributions.
4.06 Box Plots and Comparing Distributions
In this video, we construct box plots and use them to compare data distributions. We also compare box plots and histograms.
11.01 Scatterplots
In this video, students will analyze scatterplots for strength, direction, and form, and identify potential outliers.
11.02 Correlation
In this video, students will interpret the correlation coefficient.
11.03 Determining the Line of Best Fit
In this video, students will determine the line of best fit using least-squares regression.
11.04 Making Predictions
In this video, students will use the line of best fit to make predictions for a value of y given a value of x.
11.05 Interpreting Slope and y-Intercept
In this video, students will interpret the slope and the y-intercept.
11.06 The Median-Median Line and Least Absolute Value Line
In this video, students will learn about alternative methods of finding the line of best fit, including the median-median line and the absolute value line.