Null hypothesis

substantive hypothesis

(alternate hypothesis) hypothesis that the researcher is testing to determine whether it is possible to reject the null hypothesis

steps of null hypothesis testing

1) identify hypothesis 2) identify alpha level 3) sample your population 4) calculate your test statistic 5) plot your statistic on normal distribution 6) accept or reject your null hypothesis

T/F: if p>alpha you must state that the probability of committing an error when rejecting the null hypothesis is low, therefore you can reject the null hypothesis

false: p<alpha

T/F: if p<alpha you must state that the error in your study is too high and you must accept the null hypothesis

false: p>alpha

Type 2 error

occurs when researchers rejects the null hypothesis but if the researcher had measured everyone in the population, the null hypothesis would have actually been true

Type 1 error

occurs when the researcher accepts the null hypothesis but if the researcher had measured everyone in the population, the null hypothesis would have actually been false

P value

probability of error in your analysis

null hyptohesis

the assumption of no effect or no relationship between variables