Statistics Day 1-13

Vbar

bar graph 2nd Line

Hbox

horizontal wisker plot 2nd line

Histogram

histogram 2nd line

Var

variable

Data Input Cards

first 3 lines

1st Quartile

25% of data at or below value

3rd Quartile

75% of data at or above value

IQR

Q3-Q1

Resistant

if a statistic is not greatly impacted by unusual values

X Bar

sample mean

z-score

observations - mean / Standard Deviation

Distribution

valuables that variables takes on and the frequency at which they are observed

Uniform

data is evenly distributed across the number line with each smaller range occurring with similar frequency

Proc Means

data summarization, can calculate mean, median, STD, n data

N

total number of observations in a population

n

sample size

Alternative Hypothesis

a claim that there is an effect or a relationship between variables

Stratified Random Sample

selecting a random sample from existing subgroups

Cluster Random Sample

dividing the population into a smaller groups, then selecting random groups

Parameter

a numerical characteristic that describes the entire population

X

observations

Mu

population mean

Sigma

population standard deviation

Sigma squared

population variance

s

sample standard deviation

s squared

sample variance

Q1

First Quartile

Q3

Third Quartile

68 95 99.7 100

Bell Curve Values

Sigma XBar

Population divided by the square root of the sample size (σ/√n)

Central Limit Theorum

the distribution of a normalized version of the sample mean converges to a standard normal distribution. This holds even if the original variables themselves are not normally distributed.