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6 Chapter 3: Kinematics

In this chapter, we analyze the motion of constantly accelerated objects over time in terms of displacement, velocity, and acceleration.

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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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8 Chapter 5: Introduction to Trigonometry and Graphs

In this chapter, we will explore angle measures and the trigonometric ratios, including graphing and inverses.

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5 Chapter 7: Sequences and Series

In this chapter, we introduce sequences and series, some of their applications, and the Binomial Theorem.

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3 Chapter 4: Systems of Equations

In this chapter, we will explore the methods used to solve systems of equations, and real-world situations involving systems of equations.

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5 Chapter 6: Waves

In this chapter, we explore the mathematical concept of a wave and show how this concept can be used to accurately describe and predict many natural phenomena.

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6 Chapter 2: Polynomial and Rational Functions

In this chapter, we will explore beyond linear functions and learn about polynomial and rational functions.

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3 Chapter 7: Static Electricity

In this chapter, we explore how electrically charged particles interact through electrostatic forces and fields.

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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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8 Chapter 6: Trigonometric Identities and Applications

In this chapter, students will learn a robust list of trigonometric identities along with their applications. Students will also be introduced to vectors.

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3 Chapter 1: Nature of Science and Scientific Ethics

In this chapter, we explore the nature of science itself, including its practice, ethics, and impact.