kin 232 - mod 11 error power and confidence intervals

rejecting null hypothesis

when a sample is not from population

true

when finding t for confidence intervals, a two tailed design is used

t or f

retaining null hypothesis

when a sample is from the population

type I error

when H0(null) was rejected but H0 is true

type II error

when H0(null) was retained but should have been rejected

0\.05

if alpha = ______ then rejecting null hypothesis (H0) is easier

0\.05

if alpha = _____ then there is an increase in type I error risk

0\.01

if alpha = ______ then there is a decrease in type I error risk

0\.01

if alpha = _____ the there is an increase in type II error risk

true

type II error involves the consideration of 2 populations

t or f

type I

the blue area represents the probability of committing ________ error

type II

the red area represents the probability of committing _________ error

power

probability of correctly identifying a statistical difference if one exists

true

a study with low power may fail to detect a difference when one does affect

t or f

false

picking alpha = 0.05 decrease the power compared to alpha = 0.01

t or f

true

a one tail analysis will increase power compared to two tail

t or f

true

sample size effects sampling distribution of means

t or f

larger sigma

____________ causes a wider distribution causing more overlap and decreased power

smaller sigma

______________ causes a tighter distribution and increased power

larger

a greater distance between the means a _________ power

treatment effect

the magnitude f the difference between the means is determined by the _____________

confidence intervals

a range of scores with defined boundaries that should contain the population mean

true

confidence interval boundaries are found with the sample mean and standard error

false

the narrower the CI the more confident you can be that the population mean is within boundaries

t or f