# Chapter 1: Probability and Statistics TE - Teaching Tips

Difficulty Level:

**Advanced**Created by: CK-12## Chapter Outline

- 1.1. An Introduction to Analyzing Statistical Data
- 1.2. Visualizations of Data
- 1.3. An Introduction to Probability
- 1.4. Discrete Probability Distributions
- 1.5. Normal Distribution
- 1.6. Planning and Conducting an Experiment or Study
- 1.7. Sampling Distributions and Estimations
- 1.8. Hypothesis Testing
- 1.9. Regression and Correlation
- 1.10. Chi-Square
- 1.11. Analysis of Variance and the F-Distribution
- 1.12. Non-Parametric Statistics

### Chapter Summary

### Image Attributions

## Description

This chapter covers teaching tips supporting CK-12 Advanced Probability and Statistics Student Edition.

## Difficulty Level:

Advanced## Authors:

## Tags:

alternative hypothesis
analysis of variance
binomial probability distribution
(53 more)
bivariate data
Box and Whisker Plots
Central Limit Theorem
chi-square
CK.MAT.ENG.TE.1.Prob-&-Stats-Adv.1
complement of an event
compound event
conditional probability
conducting an experiment
confidence interval
continuous variables
correlation
discrete probability distributions
discrete variables
estimations
events
experimental data
experiments
F-distribution
frequency distributions
geometric probability distribution
histograms
hypothesis testing
Intersection
Kruskal-Wallis test
least-squares regression
mean
measures of spread
median
multiple regression
nonparametric statistics
null hypothesis
outcomes
outlier
Poisson probability distribution
probability
rank correlation
rank sum test
regression
sampling
sampling distributions
simple event
simple random sample
standard deviation
standard normal probability distribution
stem and leaf plot
sums and differences of independent random variables
surveys
t distribution
tests for independence
two-way ANOVA test
union
z-score

## Subjects:

## Search Keywords:

histograms
median
mean
(53 more)
outcomes
probability
Box and Whisker Plots
Intersection
standard deviation
regression
conditional probability
correlation
events
continuous variables
measures of spread
stem and leaf plot
complement of an event
union
simple event
geometric probability distribution
binomial probability distribution
z-score
simple random sample
Central Limit Theorem
sampling distributions
confidence interval
null hypothesis
alternative hypothesis
hypothesis testing
least-squares regression
bivariate data
chi-square
two-way ANOVA test
analysis of variance
F-distribution
Kruskal-Wallis test
rank correlation
rank sum test
sampling
nonparametric statistics
multiple regression
t distribution
sums and differences of independent random variables
conducting an experiment
estimations
standard normal probability distribution
Poisson probability distribution
discrete probability distributions
tests for independence
compound event
experiments
outlier
frequency distributions
experimental data
discrete variables
CK.MAT.ENG.TE.1.Prob-&-Stats-Adv.1

## Date Created:

Feb 23, 2012## Last Modified:

Aug 19, 2014
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