Terms in this set (24)
Hypothesis testing framework
-State the null and alternative hypotheses.
-Calculate the value of the test statistic.
-Identify the reference distribution.
for the observed test statistic
-Check the assumptions.
-State a conclusion.
compares 1 mean ⇌ fixed number (μ1=μ0).
one mean, know σ
one mean, unknown σ
one proportion. H0: p = p0
compares mean1 ⇌ mean2 (μ1=μ2).
We are 95% confident that, the population parameter will occur within the range of values.
compares subject with paired mean1 ⇌ mean2 (μD=0). EX. [before-after] [left-right] [experimental-control]
Two measurements on each subject.
compares category1 ⇌ category2 (C1-C2 = no association)
Two categorical variables measured on each subject.
R-squared: amount that DV is explained by the IV.
Linear regression test
Two quantitative random variables measured on each subject. SPSS: coefficients (t)-(sig).
compares 3+ independent (group) means. (H0: all μ's are equal)
3+ means. H0: group means are all equal.
-What is the assumption?
-Where do you look to check the assumption?
-What do you expect to see if the assumption is valid?
-What do you see?
-What is your conclusion?
Q-Q plot (close to line)
linearity- (random scatter)
constant spread- even (left-right)
Random allocation etc.
All of Stats-table
P(not A) = 1 -P(A)
P(A and-or B) = P(A)+P(B)-P(A&B)
P(A&B) indep = P(A)xP(B)
P(A&B) disjoint = 0