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Graphing Proportional Relationships
Given a proportional relationship, students will be able to graph a set of data from the relationship and interpret the unit rate as the slope of the line.
Analyzing Scatterplots
Given a set of data, the student will be able to generate a scatterplot, determine whether the data are linear or non-linear, describe an association between the two variables, and use a trend line to make predictions for data with a linear association.
Writing Geometric Relationships
Given information in a geometric context, students will be able to use informal arguments to establish facts about the angle sum and exterior angle of triangles, the angles created when parallel lines are cut by a transversal, and the angle-angle criterion for similarity of triangles.
8.01 Introduction to Confidence Intervals
In this video, students will be introduced to the construction and interpretation of confidence intervals.
8.02 Confidence Interval for One Mean
In this video, students will learn to construct a confidence interval for a population mean.
8.03 Visualizing a Confidence Interval
In this video, students will learn to visualize the construction of a confidence interval.
8.04 Interpreting Confidence Intervals
In this video, students will learn to interpret a confidence interval.
8.05 Confidence Interval for One Proportion
In this video, students will learn to construct and interpret a confidence interval for one proportion.
8.06 Factors Affecting the Width of a Confidence Interval
In this video, students will explore how the components of a confidence interval affect its width.
8.07 Confidence Intervals in the Real World
In this video, students will analyze confidence intervals in the real world.
7.01 Variability in Sample Proportions, Part 1
In this video, students describe and model variability using a binary population distribution and the sampling distribution of a sample proportion.
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.