ch.8 stats

Confidence interval (+,+)

first proportion greater

confidence interval (-,-)

second proportion greater

Confidence interval (-,+)

no convincing evidence of a difference (0 means no difference)

confidence interval

Point estimate ± margin of error

confidence level INCREASE

Margin of error INCREASE (wider interval)

confidence level DECREASE

Margin of error DECREASE (narrower interval)

n INCREASE

margin of error DECREASE

margin of error

only account for sampling variability

if p hat not given when fining sample size

ALWAYS .05

when find sample size

always round up

when do we use comined p hat

two sample z test for p1-p2

when do we NOT use 10% rule

whe it is a two sample z test p1-p2

when do we do interval or test

when given confidence, when given alpha

z interval

then two sample p hat1- p hat2 at begining and in the standard error

one sample test statistic

when do we double p value

when Ha is not equal

when is the Ha not equal

when no clear direction is defined

Type I

reject the null when null is true

type II

fail to reject null when should of rejected

to increase power

increase sample size

increase alpha

increase distance to Ha

power is…

The probability that a statistical test correctly rejects the null hypothesis when the alternative hypothesis is true

p-value greater then alpha

fail to reject null, do not have convincing evidenxe for Ha

p-vale is less than alpha

reject the null, do have convincing evidence for Ha

power

1-p(typeII error)

p-value

The probability of getting a sample result as extreme or more extreme than what you observed, assuming the null hypothesis is true. (always assume null true)