Posts Tagged ‘ stats ’

Using R for Introductory Statistics, Chapter 5, hypergeometric distribution

February 21, 2011
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Using R for Introductory Statistics, Chapter 5, hypergeometric distribution

This is a little digression from Chapter 5 of Using R for Introductory Statistics that led me to the hypergeometric distribution. Question 5.13 A sample of 100 people is drawn from a population of 600,000. If it is known that 40% of the population h...

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Using R for Introductory Statistics, Chapter 5, Probability Distributions

February 9, 2011
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Using R for Introductory Statistics, Chapter 5, Probability Distributions

In Chapter 5 of Using R for Introductory Statistics we get a brief introduction to probability and, as part of that, a few common probability distributions. Specifically, the normal, binomial, exponential and lognormal distributions make an appearance....

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Null Confusion

January 25, 2011
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Null Confusion

Talking a bit with my friend Jarrod about math stats and econometrics, we both came to the conclusion that the standard presentation for basic inference is lacking. In an intro or intermediate applied statistics course you learn about first and … Continue reading →

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Using R for Introductory Statistics, Chapter 5

January 23, 2011
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Using R for Introductory Statistics, Chapter 5

Any good stats book has to cover a bit of basic probability. That's the purpose of Chapter 5 of Using R for Introductory Statistics, starting with a few definitions: Random variable A random number drawn from a population. A random variable is ...

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R: Attack of the hair-trigger bees?

January 12, 2011
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R: Attack of the hair-trigger bees?

In their book “Complex Adaptive Systems”, authors Miller and Page create a theoretic model for bee attacks, based on the real, flying, honey-making, photogenic stingers. Suppose the hive is threatened by some external creature. Some initial group of guard bees sense the danger and fly off to attack. As they go, they lay down a

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Using R for Introductory Statistics, Chapter 4, Model Formulae

January 10, 2011
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Using R for Introductory Statistics, Chapter 4, Model Formulae

Several R functions take model formulae as parameters. Model formulae are symbolic expressions. They define a relationship between variables rather than an arithmetic expression to be evaluated immediately. Model formulae are defined with the tilde ope...

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From one extreme (0) to another (1): challenge failed, but who cares…

January 9, 2011
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From one extreme (0) to another (1): challenge failed, but who cares…

Just after arriving in Montréal, at the beginning of September, I discussed statistics of my blog, and said that it might be possible - or likely - that by new year's Eve, over a million page would have been viewed on my blog (from Google's count...

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Area plots unmasked

December 15, 2010
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Area plots unmasked

RESULTS OF THE GREAT AREA PLOT QUIZ If you are the type of reader who remembers things from last week, you may remember the great area plot quiz we had running. This week, we are excited to announce that the results are in. The plot above shows answers to the four questions. The correct answers

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Using R for Introductory Statistics 3.3

August 11, 2010
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Using R for Introductory Statistics 3.3

...continuing our way though John Verzani's Using R for introductory statistics. Previous installments: chapt1&2, chapt3.1, chapt3.2 Relationships in numeric data If two data series have a natural pairing (x1,y1),...,(xn,yn), then we can ask, &ld...

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Navigate the Bermuda Triangle of Mediation Analysis

July 6, 2010
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Navigate the Bermuda Triangle of Mediation Analysis

MYTHS AND TRUTHS ABOUT AN OFTEN-USED, LITTLE-UNDERSTOOD STATISTICAL PROCEDURE If you go to a consumer research conference, you will hear tales of how experiments have undergone particular statistical rites: the attainment of the elusive crossover interaction, the demonstration of full mediation through Baron and Kenny’s sacred procedure, and so on. DSN has nothing against any

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