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Statistics Foundations: 2

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Go beyond the basics of statistics with practical, example-based lessons to learn how data sets and statistics are used in the real world.

Syllabus

Introduction

Discover samples, confidence intervals, and hypothesis testing

1. Sampling

Sample considerations
Random samples
Alternative to random samples

2. Sample Size

The importance of sample size
The central limit theorem

3. Standard Error

Standard error for proportions
Sampling distribution of the mean
Standard error for means

4. Confidence Intervals

Introduction to confidence intervals
Components of a confidence interval
Creating a 95% confidence interval for a population
Alternative confidence intervals
Confidence intervals with unexpected outcomes

5. Hypothesis Tests

Hypothesis test introduction
Hypothesis test : Step-by-step
One-tailed vs. two-tail tests
Significance test for proportions
Significance test for means
Type one and type two errors

6. Continuing Your Statistics Learning Journey

Next steps and additional resources

Taught by

Eddie Davila

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4.7 rating at LinkedIn Learning based on 1475 ratings

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