This short tutorial shows an example in which we use the Seaborn Python Library to analyze a subset of the popular Gapminder dataset. Emphasis is given to both the technical steps and the statistical interpretation of results.
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Two Variable Analysis in Excel
Making a Scatter Plot in Excel
Finding the Correlation in Excel
Conceptual Inference Activity with Heart Rates
As we continue to build the foundations of statistical inference, we examine the behavior of the sample mean in repeated samples. In this example, we study human heart rates.
Click here to see the R-tutorial
In this activity, we will be reviewing sampling distribution concepts and learning a little bit about our physiology.
According to some sources, normal resting heart rates have a mean of 76 and a standard deviation of 8.
- What factors do you think relate to your heart rate?
- What can a person do to increase or decrease their heart rate?
Let’s imagine taking a sample of 20 individuals and measuring their average heart rate. Let’s do this with our class.
- Find your pulse
- Set a timer for 1 minute
- Count the number of beats in one minute
- Record your result.
- Together we will calculate the mean heart rate.
- How will we know if our mean heart rate differs from the population mean?
- To locate our sample mean, we need to imagine taking repeated samples of the same size from the same population.
- What would be the mean of all the sample means of 20 observations from this population?
- What would be the standard deviation of all the sample means of 20 observations from this population?
- What would be the shape of the sampling distribution of sample means?
- Mark the normal curve below with 1, 2 and 3 standard deviations above and below the mean. Use your results from above.
- We can now reference the above distribution to find out whether the result from our class is typical or unusual. How can we measure the difference between our sample mean and the true mean? Perform a calculation to figure this out and interpret your result.
- Make a guess as to the percentage of times a sample mean is as low or lower than the one we found.
Activity – Rolling Two Dice
Roll two dice repeatedly and find the sum. What can we expect to see? We will explore using R.
Click to see the full tutorial
Multimedia Instruction and Collaboration
This presentation explains and demonstrates the use of Office Mix, Skype for Business and Microsoft Whiteboard. This is a supplement to the faculty training session on 1/2/18. Attendees will come away with a repertoire of skills useful in keeping students engaged in and out of the classroom. Enjoy!
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