August 2017 Member Webinar: Making Sense of Statistical Distributions

by Karen


If your statistical training was typical, it centered on the normal distribution and models that assume the data are normal.

And while the normal distribution is incredibly helpful in many applications, it’s easy to forget that it isn’t so “normal” when dealing with actual data.

So… what do you do when the normal distribution just doesn’t work?

There are a whole host of other distributions that are incredibly useful in many data analysis situations. But unless you’ve taken theoretical statistics classes, it’s hard to find resources that actually explain what these distributions are, how they’re different from the normal, and when and how you can apply them.

In August’s webinar for Statistically Speaking members, guest instructor Kim Love will do a distribution deep-dive. In this session, we’ll cover a number of statistical distributions including:

  • Poisson and negative binomial distributions (especially useful for count data)
  • Multinomial distribution (for responses with more than two categories)
  • Beta distribution (for continuous percentages)
  • Gamma distribution (for right-skewed continuous data)
  • Bernoulli and binomial distributions (for probability and proportions)
  • And more!

Additionally, we will explore the relationships among statistical distributions — including a second look at those you may already use, like the normal, t, chi-square, and F distributions.

Join us on this webinar to finally understand some key background information that will expand the number of methods you are able to learn and apply.

Date and Time

Wednesday, August 16, 2017
3 pm – 4:30 pm (US EDT)
(In a different time zone?)

About the Instructor

Kim Love is a statistical consultant who particularly enjoys working with clients who feel they have a less-than-perfect relationship with statistics. One of her goals is to spread an appreciation of statistics across many fields of study, starting by making it understandable to those who interact with it.

Kim has worked as a statistical consultant and collaborator in multiple professional roles, most recently as the associate director of the University of Georgia Statistical Consulting Center.

Kim is the owner of and lead consultant at K. R. Love Quantitative Consulting and Collaboration. She has a B.A. in mathematics from the University of Virginia, and a Ph.D. in statistics from Virginia Tech.

Not a Member Yet?

It’s never too late to join the hottest stats club around.

Just head over to our enrollment page to sign up for Statistically Speaking.

You’ll get exclusive access to this month’s webinar, plus live Q&A sessions, a private stats forum, 50+ video recordings of past webinars, and more.

On the hunt for affordable statistical training with the best stats mentors around? Want to ask an expert all your burning stats questions? Check out Statistically Speaking, our exclusive membership program featuring monthly webinars and open Q&A sessions.


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