data
collection of observable things
ordinal data
can be arranged (ordered) but can’t be determined ex: age
nominal data
data that can be described with names/data/categories ex:eyecolor
perameter
population
numerical measurement that describes some characteristic of a population
statistic
measurement (numerical) of a population of a sample
stratified sampling
divide population into subgroups based on a characteristic, and a sample is drawn from each subgroup
nonsamplinf error
human error
nonrandom sampling error
problem with how the sampling was conducted
cross sectional study
taking the data at a single point in time
retrospective study
data collected from
the past and analyzed
prospective
data shared in the future from groups that share common factors
quantitative
variable measured in numerical quantities
relative frequency distribution
freq for a class/sum of all frequencies
standard deviation
skewed right
mean>median
skewed left
mean<median
normal
mean ≈ median
calculating percentiles
#of values less then x
—————————————- * 100
total #of values
Q1
first quartile p25
Q2
second quartile/median
Q3
third quartile
outlier
any data outside of the range
Q1-(1.5)(iqr)
Q2+(1.5)(iqr)
interquartile range
Q3-Q1
probability
#of times occurred/#of times procedure repeated
Addition rule
P[B or A] = P(A)+ P(B)-P(A and B)
multiplication rule
A happens and then B happens
P(A and B)= P(A)• P(B|A)