L1: describing data Flashcards
(9 cards)
1
Q
variable types
A
categorical, continuous
2
Q
assumptions issues
A
misreporting, missing data, sample selection bias, estimation bias, integrity
3
Q
sample variance
A
s^2
4
Q
population variance
A
sigma ^2
5
Q
variance
A
avg of all squared deviations from mean
6
Q
larger variance means
A
greater dispersion of observations around mean (wider on graph)
7
Q
standard deviation
A
(s): square root of variance
8
Q
empirical (95%) rule
A
if data distribution symmetrical & bell shaped, approx 95% of data should be 2s.d. from mean. mean = median
9
Q
A