Descriptive statistics and probability distributions

Question 1

What is a random variable?

Answer 1

A variable whose possible values are numerical outcomes of a random phenomenon.

Two types:
Discrete (e.g. number of students in a class)
Continuous (amount of time it takes to run a mile)

Question 2

What is a probability distribution?

Answer 2

an equation that links each outcome of a statistical experiment with its probability of occourrence

Question 3

What is cumulative probability?

Answer 3

Refers to the probability that the value of a random variable falls within a specified range

Question 4

How do you show the distributions of continuous variables?

Answer 4

Histograms, through binning

Question 5

Descriptive Statistics

Answer 5

Central Tendency
- mean, median, mode, geometric mean, interquartile mean

Spread
- variance, standard deviation, range, interquartile range

Question 6

What types of distributions are there?

Answer 6

Normal
Chi-square
Uniform
Beta
Gamma
Poisson
Exponential
Log
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