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Choosing the Correct Statistical Test
In a previous blog post, I created a flow chart showing how to choose a statistical test from a dozen different tests. While researching the article, I came across a short and sweet version which only includes four of the more basic tests:…See More
Lognormal, Weibull, and Gamma distribution in One Picture
At first glance, the Lognormal, Weibull, and Gamma distributions distributions look quite similar to each other. Selecting between the three models is "quite difficult" (Siswadi & Quesenberry) and the problem of testing which distribution is the best fit for data has been studied by a multitude of researchers.If all the models fit the data fairly well, many…See More
"Left censored. We are only seeing the worst cases (only the very ill). So the various rates can be misleading until widespread testing (even of "healthy people")."
"All good points. The left censoring of new cases seems particularly problematic."
Statistical Uncertainty: Why are Covid-19 Figures so Varied?
If you've been keeping up on the statistics for Covid-19 in the last week (and who hasn't?), you've probably noticed a wide variety of projections for deaths in the United States, ranging from the "best-case" scenario (327 people) to the "doomsday" figure (2.2 million). Recent statistics published include:327 to 1.6 million (Former Former CDC director Tom Frieden, cited in the…See More
""Generally, humans are immuned after infection by all of the "common cold" Coronovirii (I think there are 4?) for 6 to 9 months. That's why you get it every winter."
That's probably true of some viruses but…"
"Generally, humans are immuned after infection by all of the "common cold" Coronovirii (I think there are 4?) for 6 to 9 months. That's why you get it every winter.
So, we're looking at yearly meltdowns like this until…"
"Thanks, Paul. I'm going to look at modeling a little more in depth. I agree that common sense sometimes goes out of the window when it comes to statistics. Sometimes people just get lost in the data and alienate themselves from the real world."
Profile Information
- Short Bio
- Stephanie Glen is Editorial director at DataScienceCentral.com. She is a mathematician and statistician. After working for several years teaching mathematics and statistics at the university level, she created and developed the website StatisticsHowTo.com.
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- Executive
- Years of Experience:
- 14
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- Andale Publishing, LLC
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- Mathematics Education
- Your Job Title:
- CEO
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- Contributing
Stephanie Glen's Blog
Choosing the Correct Statistical Test
Posted on March 30, 2020 at 6:30am 0 Comments 2 Likes
In a previous blog post, I created a flow chart showing how to choose a statistical test from a dozen different tests. While researching the article, I came across a short and sweet version which only includes four of the more basic tests:…
ContinueLognormal, Weibull, and Gamma distribution in One Picture
Posted on March 27, 2020 at 7:41am 0 Comments 1 Like
At first glance, the Lognormal, Weibull, and Gamma distributions distributions look quite similar to each other. Selecting between the three models is "quite difficult" (Siswadi & Quesenberry) and the problem of testing which distribution is the best fit for data has been studied by a multitude of researchers.
If all the models fit the data fairly…
ContinueStatistical Uncertainty: Why are Covid-19 Figures so Varied?
Posted on March 21, 2020 at 8:10am 1 Comment 3 Likes
If you've been keeping up on the statistics for Covid-19 in the last week (and who hasn't?), you've probably noticed a wide variety of projections for deaths in the United States, ranging from the "best-case" scenario (327 people) to the "doomsday" figure (2.2 million). Recent statistics published include:
- 327 to 1.6 million (Former Former CDC director Tom Frieden, cited in the…
Understanding Covid-19 Statistics (in plain English)
Posted on March 17, 2020 at 6:30am 5 Comments 4 Likes
My original intent with this article was to write about how to understand statistics in general. However, with the global pandemic on everyone's minds right now, it seems blithe to write an article on understanding statistics without a nod to current events. If you're uncomfortable or unfamiliar with statistics, you might find the facts and figures surrounding Covid-19 hard to decipher. Let's break down the key statistics into plain English and shed a little light on a few…
ContinueComment Wall (1 comment)
- At 3:52am on December 11, 2019,
Jason Posavad said…
Your article is so relevant Stephanie, as I am 48 and contemplating an online masters in Data Science. My answer has been to do as much as I can through MOOCs, self-driven projects, and other less-expensive learning. If it gets to the point that I have done all of that and proven to myself that I can do Data Science, and that I need a degree to get land a job, I will then do it. Reality is you do need to be more careful and more risk-averse as you age, as the time to recover from mistakes is just not there anymore.
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