"No one is harder on a talented person than the person themselves" - Linda Wilkinson ; "Trust your guts and don't follow the herd" ; "Validate direction not destination" ;

January 02, 2016

R + Stats

The Following course material is very useful for R + Stats Combinations. It's a great material for R learning. Captured below are notes from 5,6,7,8 chapters

Binomial Probability - Only two mutually exclusive events often referred as success, failure. Also called bernouli trial (Link )
R commands - The dbinom and pbinom functions

Discrete Probability Distributions

R command - pnorm
Command Syntax - pnorm(x, mean = , sd = , lower.tail= )

Two-Tailed Tests - Testing for the possibility of the relationship in both directions. This means that .025 is in each tail of the distribution

One-Tailed Tests - one-tailed test allots all of your alpha to testing the statistical significance in the one direction of interest. This means that .05 is in one tail of the distribution of your test statistic.

Alternative hypothesis has the > operator, right-tailed test 
Right-Tailed Tests: P-value = pnorm(zx¯, lower.tail=FALSE)

Alternative hypothesis has the < operator, left-tailed test 
Left-Tailed Tests: P-value = pnorm(zx¯, lower.tail=TRUE)

Alternative hypothesis has the ≠ operator, two-tailed (left and right) test
Two-Tailed Tests: P-value = 2 * pnorm( abs(zx¯), lower.tail=FALSE)

pnorm(x, µ, σ), 
  • x is an observation from a normal distribution 
  • mean µ 
  • standard deviation σ
Computing P value from t value 
pt(abs(t-value), df=degree of freedom)


Happy Learning!!!

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