WP 1…..Introduction to Statistics Flashcards
continuous variable
can be subdivided into more and more precise units
eg height
dependent on measurement method
discrete variable
only measured in whole units
types of data:scale
interval
ratio
can dip below 0, multiply and division not allowed ..eg degrees
cant fall below 0 eg height , age
interval and ratio are continous variables
ordinal
nominal
-order of importance (pain score`)
- data that fits into a category (eye colour)
- dichotomous :only 2 categories (true/false)
types of averages
mean
median
mode
- add all values and ÷ by no. of observation made (ratio and intervals)
- value that is in middle of distribution (ordinal)
- most frequently occurring value (ordinal)
Basics of dsitributions:
population
sample
- entire set of subjects that we want to know
- portion of pop we gather info about , this should be representative of population
Bias
- systemaic (non-random) error
- towards the null =understates a risk/benefits
- away from the null = overstates a risk/ benefit
convergance
how representative a sample is to a population
standard deviation
spread of points around mean…. measure of how dispersed data is in relation to mean
square root of variance
variance
average degree to which each point differs from mean
symbols in population for mean standard deviation no.of observations variable
µ
∂
N
X
symbols in sample for mean standard deviation no.of observations variable
x witha line on top of it
s
n
x
standard error
shows how accurate the mean (of any given sample) from that population is likely to be compared to the true population