Step 1: Calculate *a sample statistic*, or delta, . This is the main measure you care about: the difference in means, the average, the median, the proportion, the difference in proportions, etc.

Step 2: Use simulation to invent a world where is null. Simulate what the world would look like if there was no difference between two groups, or if there was no difference in proportions, or where the average value is a specific number.

Step 3: Look at in the null world. Put the sample statistic *delta* in the null world and see if it fits well.

Step 4: Calculate the probability that could exist in null world. This is the p-value, or the probability that you'd see a at least that high in a world where there's no difference.

Step 5: Decide if is statistically significant. Choose some evidentiary standard or threshold for deciding if there's sufficient proof for rejecting the null world. Standard thresholds (from least to most rigorous) are 0.1, 0.05, and 0.01

Watch on Youtube In this Rehearse 1 you will: 1. Pick your data . If you choose to use data other than the data sets provided in the course. you must properly cite/reference the source. . If your data is part of someone else's analysis and you want to reuse/edit the code, be sure to properly cite/reference the article source of the data and code. 2. Conduct exploratory data analysis 3. Identify variable(s) of interest 4. Define your research question 5. Plan your analysis 6. Submit the Rehearse 1 Worksheet by Thursday pm of the Module 8 week. Use the Lab-08-Rehearse1-Worksheet found in your Lab 08 Posit/RStudio Cloud workspace. Please plan on submitting the Rehearse 1 worksheet in your Module 8 Assignment area by Thursday of Module 8 week. Submit it as a Word or PDF file if you can. OK. That is Rehearse 1 of Lab 8