###
TEA Statistics PowerPoint Slides

Instructor PowerPoint slides for TEA High School Statistics open-source instructional material.

###
2.07 Lurking and Confounding Variables

In this video, students learn the difference between lurking and confounding variables and how they affect results.

###
2.08 Generalizability of Results and Conclusions

In this video, students learn how to interpret results and draw conclusions based on them.

###
6.01 Probability and the Law of Large Numbers

In this video, students are introduced to the concept of probability using the Law of Large Numbers.

###
6.02 Probability Terminology

In this video, students learn key terminology associated with probability.

###
6.03 Venn Diagrams

In this video, students represent and calculate probabilities using Venn diagrams.

###
6.04 Independent and Mutually Exclusive Events

In this video, students calculate probabilities for independent events and mutually exclusive events.

###
6.05 Contingency Tables

In this video, students calculate probabilities using a two-way contingency table.

###
6.06 Tree Diagrams

In this video, students calculate conditional probabilities using a tree diagram.

###
6.07 Discrete Random Variables

In this video, students are introduced to discrete random variables.

###
6.08 The Binomial Distribution

In this videos, students use the binomial distribution to find the expected value, variance, and probabilities associated with a binomial random variable.

###
6.09 Binomial Approximation

In this videos, students approximate the binomial distribution with the normal distribution for large samples.

###
5.01 Measuring Center of a Distribution

In this video. students will learn three measurements of center, calculate those measurements, and compare the mean and median of data sets.

###
5.02 Measuring Spread of a Distribution

In this video, students will learn four measurements of spread, and calculate them by hand and on a calculator for several data sets.

###
5.03 Outliers

In this video, we will see how outliers affect data sets and measures of center and spread.

###
5.04 Visualizing and Transforming Data: Implications for Mean and Standard Deviation

In this video, we will observe how the mean and standard deviation change based on different values in a data set.

###
5.05 Introduction to the Empirical Rule

In this video, we introduce the normal distribution and the empirical rule.

###
5.06 The Normal Distribution

In this video, we continue with the normal distribution and introduce how to use the Z table.