What do you learn from p=.05? This example from Carl Morris will blow your mind.

October 13, 2015
By
What do you learn from p=.05?  This example from Carl Morris will blow your mind.

I keep pointing people to this article by Carl Morris so I thought I’d post it. The article is really hard to find because it has no title: it appeared in the Journal of the American Statistical Association as a discussion of a couple of other papers. All 3 scenarios have the same p-value. And, […] The post What do you learn from p=.05? This example from Carl Morris will…

Read more »

Rexer Analytics Survey Results

October 13, 2015
By
Rexer Analytics Survey Results

Rexer Analytics has released preliminary results showing the usage of various data science tools. I’ve added the results to my continuously-updated article, The Popularity of Data Analysis Software. For your convenience, the new section is repeated below. Surveys of Use One … Continue reading →

Read more »

Understanding Margin of Error for Small Populations

October 13, 2015
By
Understanding Margin of Error for Small Populations

I got an email today inquiring if the margin of error reported in the newest poll by Datafolha would possibly be misleading. The polling firm often report surveys with regular sizes (1000/2400), so the margin of error calculated is in the range of +/-2...

Read more »

Understanding Margin of Error for Small Populations

October 13, 2015
By
Understanding Margin of Error for Small Populations

I got an email today inquiring if the margin of error reported in the newest poll by Datafolha would possibly be misleading. The polling firm often report surveys with regular sizes (1000/2400), so the margin of error calculated is in the range of +/-2...

Read more »

Stan intro in Amherst, Mass.

October 13, 2015
By
Stan intro in Amherst, Mass.

Krzysztof Sakrejda writes: I’m doing a brief intro to Stan Thursday 4:30pm in Amherst at the University of Massachusetts. As the meetup blurb indicates I’m not going to attempt a full tour but I will try to touch on all the pieces required to make it easier to build on models from the manual and […] The post Stan intro in Amherst, Mass. appeared first on Statistical Modeling, Causal Inference,…

Read more »

Understanding Margin of Error for Small Populations

October 13, 2015
By
Understanding Margin of Error for Small Populations

A comment on why does a pollster reported a narrow margin of error despite the small sample. I got an email today inquiring if the margin of sampling error reported in the newest poll by Datafolha would possibly be misleading. The polling firm often...

Read more »

Understanding Margin of Error for Small Populations

October 13, 2015
By
Understanding Margin of Error for Small Populations

A comment on why does a pollster reported a narrow margin of error despite the small sample. I got an email today inquiring if the margin of sampling error reported in the newest poll by Datafolha would possibly be misleading. The polling firm often...

Read more »

Understanding Margin of Error for Small Populations

October 13, 2015
By
Understanding Margin of Error for Small Populations

A comment on why does a pollster reported a narrow margin of error despite the small sample. I got an email today inquiring if the margin of error reported in the newest poll by Datafolha would possibly be misleading. The polling firm often report s...

Read more »

Understanding Margin of Error for Small Populations

October 13, 2015
By
Understanding Margin of Error for Small Populations

A comment on why does a pollster reported a narrow margin of error despite the small sample. I got an email today inquiring if the margin of error reported in the newest poll by Datafolha would possibly be misleading. The polling firm often report s...

Read more »

Understanding Margin of Error for Small Populations

October 13, 2015
By
Understanding Margin of Error for Small Populations

A comment on why does a pollster reported a narrow margin of error despite the small sample. I got an email today inquiring if the margin of error reported in the newest poll by Datafolha would possibly be misleading. The polling firm often report s...

Read more »

Understanding Margin of Error for Small Populations

October 13, 2015
By
Understanding Margin of Error for Small Populations

A comment on why does a pollster reported a narrow margin of error despite the small sample. I got an email today inquiring if the margin of error reported in the newest poll by Datafolha would possibly be misleading. The polling firm often report s...

Read more »

Understanding Margin of Error for Small Populations

October 13, 2015
By
Understanding Margin of Error for Small Populations

A comment on why does a pollster reported a narrow margin of error despite the small sample. I got an email today inquiring if the margin of error reported in the newest poll by Datafolha would possibly be misleading. The polling firm often report s...

Read more »

Understanding Margins Of Error

October 13, 2015
By
Understanding Margins Of Error

— layout: page subheadline: “Discussion” title: “Understanding Margins of Error for Small Populations” teaser: “A comment on why does a pollster reported a narrow margin of error despite the small sample.” date: 2015-10-13 09:00:00 categ...

Read more »

Debunking Magical 9s – Numerology or Numerical Illiteracy?

October 12, 2015
By
Debunking Magical 9s – Numerology or Numerical Illiteracy?

The other day one of my friends on facebook posted this video about the mystical nature of the number 9. Being a skeptical of all things hokey, I decided to experiment with numbers to see how special 9 really is.There are four claims made in the video ...

Read more »

Mars Missions are a Scam

October 12, 2015
By

Dan Vergano, science reporter at BuzzFeed News and formerly of USA Today, writes: We wonder if you, or someone you’d recommend, might comment on a replication debate that is playing out in the journal Political Psychology. Essentially, a researcher at Fordham claimed pictures of eyes on mailers increased voter turnout in 2014. Two authors elsewhere […] The post Mars Missions are a Scam appeared first on Statistical Modeling, Causal Inference,…

Read more »

On deck this week

October 12, 2015
By

Mon: Mars Missions are a Scam Tues: What do you learn from p=.05? This example from Carl Morris will blow your mind. Wed: Here’s a theoretical research project for you Thurs: In that article, they forgot to mention that Ludmerer is one of the 5 doctors in America who has no opinion on whether cigarette […] The post On deck this week appeared first on Statistical Modeling, Causal Inference, and…

Read more »

Create a surface plot in SAS

October 12, 2015
By
Create a surface plot in SAS

This article shows how to visualize a surface in SAS. You can use the SURFACEPLOTPARM statement in the Graph Template Language (GTL) to create a surface plot. But don't worry, you don't need to know anything about GTL: just copy the code in this article and replace the names of […] The post Create a surface plot in SAS appeared first on The DO Loop.

Read more »

Lies, Damned Lies, & Cointegration

October 11, 2015
By
Lies, Damned Lies, & Cointegration

My thanks to a colleague for bringing to my attention a recent discussion paper with the provocative title, "Why Most Published Results on Unit Root and Cointegration are False". As you can imagine, I couldn't resist it!After a quick read (and a c...

Read more »

New competition: Pick a title for Niall Ferguson’s next book!

October 11, 2015
By
New competition:  Pick a title for Niall Ferguson’s next book!

I saw this recent news item and I realized it’s a perfect hook for a new work by the prolific and trash-talking historian Niall Ferguson. Once the Kissinger biography is over, I assume Ferguson will want to return to his specialty, economic history. And what better topic than an exploration of mid-twentieth century Keynesianism. Ferguson […] The post New competition: Pick a title for Niall Ferguson’s next book! appeared first…

Read more »

On Forecast Intervals "too Wide to be Useful"

October 11, 2015
By

I keep hearing people say things like this or that forecast interval is "too wide to be useful." In general, equating "wide" intervals with "useless" intervals is nonsense. A good (useful) forecast interval is one that's correctly conditionally ca...

Read more »

P-value madness: A puzzle about the latest test ban (or ‘don’t ask, don’t tell’)

October 11, 2015
By
P-value madness: A puzzle about the latest test ban (or ‘don’t ask, don’t tell’)

Given the excited whispers about the upcoming meeting of the American Statistical Association Committee on P-Values and Statistical Significance, it’s an apt time to reblog my post on the “Don’t Ask Don’t Tell” policy that began the latest brouhaha! A large number of people have sent me articles on the “test ban” of statistical hypotheses tests and […]

Read more »

Gay gene tabloid hype update

October 11, 2015
By
Gay gene tabloid hype update

Tuck Ngun, one of the researchers involved in the “Twin study reveals five DNA markers that are associated with sexual orientation” project, posted a disagreement with some criticisms relayed by science reporter Ed Yong. I’d thought Yong’s points were pretty good and I was interested in seeing what Ngun had to say. Ngun wrote: I […] The post Gay gene tabloid hype update appeared first on Statistical Modeling, Causal Inference,…

Read more »

Latest gay gene tabloid hype

October 10, 2015
By
Latest gay gene tabloid hype

The tabloid in question is the journal Nature, which along with Science and PPNAS (the Proceedings of the National Academy of Sciences, publisher of gems such as the himmicanes and hurricanes study) has in recent years become notorious for publishing flashy but unsubstantiated scientific claims. As Lord Acton never said, publicity corrupts, and absolute publicity […] The post Latest gay gene tabloid hype appeared first on Statistical Modeling, Causal Inference,…

Read more »


Subscribe

Email:

  Subscribe