Learn about p values and confidence intervals.
- [Instructor] There is in fact a close relationship…between hypothesis testing and confidence intervals.…If the null hypothesis corresponds…to a range of values for a population parameter…that are excluded from the confidence interval,…then the null hypothesis must…be rejected with a very low P value.…The lower, the higher the confidence level of he interval.…To exemplify this we go back to…our example of the election poll…and reformulate it as hypothesis testing.…
So we import packages and load the data.…To remind you, in the smaller poll…Brown had a seeming majority of votes,…so here the null hypothesis will be…that Green wins or ties the election,…so the true Brown fraction would be 0.50 or less.…
We need to find out whether a Brown proportion…of 0.511 is an extreme result if the null hypothesis holds.…So we compute the sampling distribution of the proportion,…and get a true Brown fraction of 0.50.…If it's lower than that the P value will be even lower.…So we can work with 0.50.…Here's a function to simulate the sample of a thousand.…
- Installing and setting up Python
- Importing and cleaning data
- Visualizing data
- Describing distributions and categorical variables
- Using basic statistical inference and modeling techniques
- Bayesian inference
Skill Level Intermediate
R Statistics Essential Trainingwith Barton Poulson5h 59m Intermediate
SPSS Statistics Essential Trainingwith Barton Poulson4h 57m Beginner
1. Installation and Setup
2. Importing and Cleaning Data
3. Visualizing and Describing Data
4. Introduction to Statistical Inference
5. Introduction to Statistical Modeling
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