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CK-12 Probability and Statistics - Advanced

Difficulty Level: Advanced Created by: CK-12
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Table of Contents

  • 1. An Introduction to Analyzing Statistical Data

    Students learn definitions of statistical terminology, and review data, measures of center, and measures of spread.

  • 2. Visualizations of Data

    Students explore and learn about histograms and frequency distributions, common graphs and data plots, and box-and-whisker plots.

  • 3. An Introduction to Probability

    Students explore and learn about events, sample spaces, probability, compound events, the complement of an event, conditional probability, and basic counting rules.

  • 4. Discrete Probability Distribution

    Students explore and learn about two types of random variables, probability distribution for a discrete random variable, mean and standard deviation of discrete random variables and the Binomial Probability Distribution.

  • 5. Normal Distribution

    Students explore and learn about the standard normal probability distribution, the density curve of the normal distribution, and applications of the normal distribution.

  • 6. Planning and Conducting an Experiment or Study

    Students explore and learn about surveys, sampling and experimental design.

  • 7. Sampling Distributions and Estimations

    This chapter covers sampling distributions and the Central Limit Theorem.

  • 8. Hypothesis Testing

    Students explore and learn about hypothesis testing and the P-value, testing a proportion hypothesis, testing a mean hypothesis, and testing a hypothesis for dependent and independent samples.

  • 9. Regression and Correlation

    Students explore and learn about scatterplots and linear correlation, Least-Squares regression, inferences about regression, and an introduction to multiple regression.

  • 10. Chi-Square

    Students explore and learn about the Goodness-of-Fit test, test of independence, and testing one variance.

  • 11. Analysis of Variance and the F-Distribution

    Students explore and learn about the F-Distribution and testing two variances, the One-Way ANOVA test, and the Two-Way ANOVA test.

  • 12. Non-Parametric Statistics

    Students explore nonparametric statistics, the rank sum test and rank Correlation, and the Kruskal-Wallis test.

Description

Difficulty Level:

Advanced

Categories:

Grades:

Date Created:

Feb 23, 2012

Last Modified:

Aug 22, 2014
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