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7 Chapter 9: Hypothesis Testing

In this chapter, students will learn how to perform a hypothesis test and interpret its results.

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3 Chapter 1: Exploring Data

In this chapter, we introduce statistics, how it is used, and the types of data we come across in real life.

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4 Chapter 7: Sampling Distributions

In this chapter, students will describe and model variability using population and sampling distributions.

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7 Chapter 8: Confidence Intervals

In this chapter, students will learn how to construct and interpret a confidence interval for a population mean and a population proportion.

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5 Chapter 10: Comparing Two Groups

In this chapter, students interpret confidence intervals and the results of hypothesis tests for the difference between two means and the difference between two proportions.

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5 Chapter 3: Representing Categorical Data

In this chapter, we explore the different ways to display categorical data and draw conclusions based on the representations.

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8 Chapter 2: Data Collection, Sampling, and Experimental Design

In this chapter, we explore various methods of data collection and potential problems that may occur when collecting data.

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9 Chapter 6: Probability

In this chapter, students explore probability and random variables.

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6 Chapter 4: Representing Quantitative Data

In this chapter, we explore different ways to display quantitative data, and draw conclusions based on the representations.

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7 Chapter 11: Exploring Bivariate Data

In this chapter, students explore the relationship between two quantitative variables. Students will analyze scatterplots for strength, direction, and form; interpret the correlation coefficient; determine the line of best fit using least-squares regression; use the line of best fit to make predictions for a value of *y* given a value of *x*; interpret the slope and the *y*-intercept; learn about alternative methods of finding the line of best fit, including the median-median line and the absolute value line; and identify outliers and influential points and their effects on the regression line and correlation coefficient.

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6 Chapter 5: Measuring Center and Spread

In this chapter, students will learn multiple measures for center and spread, and will be introduced to the normal distribution and the empirical rule.

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6 OnTRACK Algebra I: Properties and Attributes of Functions

Students will learn how to use the properties and attributes of functions.

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10.01 Choosing the Right Case

In this video, students learn to identify the appropriate parameter to perform statistical inference for a given situation.

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10.02 Confidence Interval for Two Independent Means

In this video, students learn to interpret a confidence interval for two independent means.

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10.03 Hypothesis Test for Two Independent Means

In this video, students learn to interpret the results of a hypothesis test for two independent means.

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10.04 Confidence Interval for Two Independent Proportions

In this video, students learn to interpret a confidence interval for two independent proportions.

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10.05 Hypothesis Test for Two Independent Proportions

In this video, students learn to interpret the results of a hypothesis test for two independent proportions.

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3.01 Frequency Tables

In this video, students learn about frequency and relative frequency tables.

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3.02 Joint, Marginal, and Conditional Frequencies

In this video, students will expand their knowledge of frequency tables to two-way tables and several frequency and probability definitions.

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3.03 Pie Charts

In this video, students learn about pie charts and how to read and construct one.