How Minitab's Analytics Help Solve Government Challenges
Learn how Minitab's analytics empower government agencies to tackle challenges, from mental health outreach to environmental sustainability and more.
Minitab Analysis Reveals Surprising Traveler Preferences for Top Vacation Rental Provider
Learn how this Minitab Customer helped a top vacation rental provider find the root cause of its customers' growing dissatisfaction during the pandemic.
What Makes A Good Wine? Using Statistical Regression to Model The Taste of Wine
Discover how wine-tasting data and multivariate analysis can be used to develop an understanding of your customers’ different tastes and behaviour.
Punxsutawney Phil and His 2-Sample T-test
Although a polar vortex hit most of the northern United States last week, thousands of visitors did converge on Punxsutawney, Pennsylvania to see if Punxsutawney Phil would see his shadow. Let’s look at a 2-sample t-test to see if Phil can be Punxsutawney’s chief advisor on how quickly winter ends.
Industry Expert Greg Kinsey: Black Belts Can (and Should) Drive the Digital Transformation of Manufacturing
Greg Kinsey, Industry Expert, shares his view on the Future of Operational Excellence and the new role of Lean Six Sigma – and how you can be part of it.
The Future of Operational Excellence according to Industry Expert Greg Kinsey
Greg Kinsey, Industry Expert, shares his view on the Future of Operational Excellence and the new role of Lean Six Sigma – and how you can be part of it.
Power and Sample Size – Your Insurance Policy for Statistical Analysis
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%.
Power and Sample Size for Hypothesis Tests
The power of your hypothesis test depends on the sample size. Larger sample size = Higher power. Learn more about calculating Power and Sample Size.
Gleaning Insights from Election Data with Basic Statistical Tools
Gleaning Insights from Election Data with Basic Statistical Tools
The Null Hypothesis: Always “Busy Doing Nothing”
The Null Hypothesis: Always “Busy Doing Nothing”