R Mechanics
Random
Probability and Distributions
Probability and Distributions
Statistical Measures
100

This word refers to how you phrase commands in a coding language

Syntax

100

When you oversample a portion of a population, the weights should be handled in this way.

Made smaller

100

This R function family helps you find the percentile of a given point on a distribution or the cumulative probability

p family

100

Height is often considered this kind of data point 

Continuous

200

This is used to document R code and enables review for later

R-file

200

The type of issues that would cause a paper to report that smokers were less likely to be hospitalized for COVID.

Berkson's Bias

200

For this type of distribution the mean would be an ideal measure of centrality

Normal

200

This distribution often associated with dichotomous outcomes

Binomial

200

This statistical procedure would be useful in calculating whether or not one truly has a disease given they got a positive screening test result

Bayes Theorem 

300

Hitting <enter> in this part of R will execute the code

Console/Complier

300

This distribution has a mean of 0 and a sd of 1

Standard Normal

300

This type of distribution often involves time 

Poisson 

300

Summary statistics that describe the "typical" value in a dataset

What are measures of centrality

400

This function in R will allow you to reproduce randomness with your friends. 

set.seed()

400
In order to calculate a probability, you need this and it is often used as the denominator 

Total number of observations/total number of events or whatever you are measuring/counting

500

This function in R can give you a information about individuals in your dataset in an organized format

table()

500

This function family return the position on a distribution at which the discrete probability equals a given number

d function family

500

See Image of Probability Table, this number reflects the chances of seeing 2 events  in 6 trials at 10% probability 

0.098

500

When parameters are large enough both poisson and binomial distribution approach this kind of distribution

normal

500

The type of statistical measure that this problem illuminates: Likelihood that children from higher SES score better on an exam.

conditional probability 

M
e
n
u