- Given P(X = E(X)) = 1, does that mean Var(X) = 0?
- An interesting analysis of US high school graduation rates, conducted using R and googleVis.
- Do you have a unisex name? The following series of visuals tells us the most common unisex names in US history, and how the ratio of boys to girls changes over time.
- Most of us know what instrumental variables are (if not, here’s the Wikipedia page), but do you know what weak instruments are? The diffuseprior blog has a tutorial and tells you how to find them using R.
- This week, we found a number of useful webinars and presentations for statisticians and data scientists on R. Feel free to check out the following opportunities: Online course on forecasting using R by Prof. Hyndman of Monash University, Coursera’s free R courses, Why use R for Data Analysis by Vivek H. Patil of Gonzaga University, and two workshops on R by Bob Muenchen.
- If I roll five dice, what’s the chance that exactly two of the die show the same number?
- Did you know that even famous mathematicians like Paul Erdős had a hard time believing the result of the Monty Hall Problem? It was a computer simulation that eventually convinced him. Here’s a simulation of the Monty Hall Problem, and my own take on the how the problem is often poorly presented.
- During the 2013 JSM (Joint Statistics Meetings) Conference in Montreal, Revolution Analytics conducted a survey of attendees from August 5 to August 8. The 865 respondents gave their opinions on the privacy and ethics related to data collection, and on their familiarity with statistical software used for the analysis of such data. Out of the 865 statisticians surveyed…
- Larry Wasserman, Professor at Carnegie Mellon University, is a graduate of University of Toronto, a COPSS Award winner, and a leading statistician in Bayesian analysis and inference. In this post, he discusses his views on the question Is Bayesian Inference a Religion?
- Two people will each spend 15 consecutive minutes in a bar between 12:00pm – 1:00pm. Assuming uniform and independent arrival times, what is the probability that they will have a chance to clink glasses?
- Have you ever wondered which statistical package gives the fastest computational speeds? This quick comparison of Julia, Python, R and pqR provides some guidence.
- An interesting analysis of the most popular porn searches in the US.
- A quiz for everyone in the data visualization industry: Identify at least three problems with this chart and explain what you can do to make it better.
- R user groups continue to thrive worldwide. Joseph Rickert from Revolution Analytics prepares the following compilation of the locations of 127 R user groups around the world.
- Data science is emerging as a new, hot field, but is it really different from statistics? Wesley from statistical-research.com discusses why data science is more than just a title.
- Are you in the market research industry? If you ever run into incomplete data, here is how machine learning can help to fill in the gaps.
- This year, more than 6,000 people attended the Joint Statistical Meetings, the largest statistical meeting in the world. If you missed the 2013 JSM, this summary will bring you up to speed.
- Why an infinite number of monkeys (or even just one monkey!) will eventually crank out a complete play every bit as melodramatic as The Bard’s famous Hamlet.
- Egon Pearson (11 August 1895 – 12 June 1980) is one of the most prominent figures in the history of statistics. His most important contributions include the Neyman-Pearson (1933) theory of hypothesis testing, and promoting statistical methods in industry. However, most people fail to realize that Pearson’s contributions go well beyond hypothesis testing. Here are some early pioneering works of Pearson that have been neglected.
- Thinking of starting a new business? Rodolfo Vanzini guides R users through the process of integrating Google maps with your own demographic data.
- Suppose you have n students each holding some number of eggs. There are two large baskets at the front of the room, one red and one blue. With some probability that varies by student, they will each put all of their eggs into one of the two baskets. What is the probability that the blue basket will have more eggs?
- Good news if you know R and you want a job.
- Follow the bouncing balls as they plot the ebbs and flows of coverage in Patrick Burns’ What I Learned From A Year Of Watching SportsCenter.
- Ever wanted to sit in on Google’s (no so) secret R training sessions? Here’s your chance with the online series Google Developers R Programming Video Lectures.
- Assume that the probability of getting a baby boy is 1/2 (and to be very clear and precise, the probability of getting a girl is also 1/2). If a family has 3 children, what is the probability that they have a) exactly one boy, and b) at most two girls?
- At this year’s JSM in Montreal, Nate Silver addresses the links between journalism and statistics by presenting 11 principles for journalists.
- Are you an iOS user? Do you love R? Here is a quick tutorial that shows you how to run R on your iPhone.