Alphas, P-Values, and Confidence Intervals, Oh My!
Alphas, P-Values, and Confidence Intervals, Oh My!
Going for It on 4th Down: Do the Statistics Say It’s a Gamble?
Going for It on 4th Down: Do the Statistics Say It’s a Gamble?
Alpha Male vs Alpha Female: Choosing a Significance Level
Alpha Male vs Alpha Female: Choosing a Significance Level
A Paired T-Test: Dale Earnhardt, Jr.’s Racing Success
A Paired T-Test: Dale Earnhardt, Jr.’s Racing Success
How a 1 Proportion Test Can Save Money
How a 1 Proportion Test Can Save Money
Two P-values for a 2 Proportions Test? Am I Seeing Double?
Two P-values for a 2 Proportions Test? Am I Seeing Double?
Three Things the P-Value Can't Tell You about Your Hypothesis Test
Three Things the P-Value Can't Tell You about Your Hypothesis Test
Power and Sample Size – Your Insurance Policy for Statistical Analysis (Insights America 2019)
When we do statistical analyses, like hypothesis testing and design of experiments, we are using a sample of data to answer questions about all of our data. The reliability of these answers is affected by the size of the sample we analyze. To minimize the risk of doing unreliable statistical analysis we can use the Power and Sample size before collecting any data to determine how much data is needed to have a good chance of finding that effect, if it exists. The minimum recommended value for this is 80%.