STEM

# Introduction to Probability & Statistics

67 CQ
10 Lessons
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6 CQ
6. Introduction to Statistics
A lesson with Mark Huber

Statistics is the science of analyzing data, and in this lesson, you'll learn the basics! Discuss statistical modeling and parameterizing models, too.

Statistics is the science of analyzing data, and in this lesson, you'll learn the basics! Discuss statistical modeling and parameterizing models, too.

• Playing
7 CQ
7. Point Estimators in Statistics
A lesson with Mark Huber

This statistics lesson covers the two most important point estimators: the sample average for the mean, and the population variance for the variance.

This statistics lesson covers the two most important point estimators: the sample average for the mean, and the population variance for the variance.

• Playing
8 CQ
8. P-Values & Hypothesis Testing
A lesson with Mark Huber

This lesson covers the idea of the p-value, which is a numerical way of characterizing the evidence against a particular hypothesis with a test statistic.

This lesson covers the idea of the p-value, which is a numerical way of characterizing the evidence against a particular hypothesis with a test statistic.

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5 CQ
9. Confidence Interval Calculation
A lesson with Mark Huber

Confidence intervals contain all numbers between a and b, and can be calculated with the Central Limit Theorem, which is covered in this statistics lesson!

Confidence intervals contain all numbers between a and b, and can be calculated with the Central Limit Theorem, which is covered in this statistics lesson!

• Playing
7 CQ
10. Introduction to Bayesian Statistics
A lesson with Mark Huber

Bayesian statistics treats the parameters as if they are random variables. In this stats lesson, use Bayes' Rule to update the distribution of the parameters.

Bayesian statistics treats the parameters as if they are random variables. In this stats lesson, use Bayes' Rule to update the distribution of the parameters.

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