# Introduction to Inference

## Inference and Hypothesis Testing

Now, be sure to watch the following videos explaining the concepts of inference and hypothesis testing, and return here afterward.

1. [Another Introduction to Inference](https://www.coursera.org/learn/inferential-statistics-intro/lecture/GvyX6/another-introduction-to-inference)
2. [Hypothesis Testing (for a mean)](https://www.coursera.org/learn/inferential-statistics-intro/lecture/nnn84/hypothesis-testing-for-a-mean)
3. [HT (for the mean) examples](https://www.coursera.org/learn/inferential-statistics-intro/lecture/nKo0b/ht-for-the-mean-examples)

## Inference for Other Estimators

Following up, watch the following videos about inference for other estimators, and decision errors

1. [Inference for Other Estimators](https://www.coursera.org/learn/inferential-statistics-intro/lecture/veM7M/inference-for-other-estimators)
2. [Decision Errors](https://www.coursera.org/learn/inferential-statistics-intro/lecture/XFpuP/decision-errors)

## Significance

Now, watch the below videos to learn about the difference between significance, confidence level, as well as different types of significance. Return here after you finish.

1. [Significance vs. Confidence Level](https://www.coursera.org/learn/inferential-statistics-intro/lecture/ruckh/significance-vs-confidence-level)
2. [Statistical vs. Practical Significance](https://www.coursera.org/learn/inferential-statistics-intro/lecture/6x7n3/statistical-vs-practical-significance)

## Congratulations!

If you made it here, then congratulations! You have successfully completed this section. Move to the next portion of the guide with the arrow buttons below.


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