Matched up T-test (four steps of NHT)
Clinical (just the written portion)
Null (no effect)
Substitute (there can be an effect)
Rather than finding standard error we look for standard change first. Normal error provides a parallel solution to SD. Smd = SD/ sqrt n. Step three
Collection Alpha to. 05 two tailed
Critical value of to. (t table)
Decision rules, possibly sketch or perhaps write out.
Mean of difference scores
T-statistic takes the same basic kind (statistic minus expected value/SD) Reported as t(9) =. 85, n. s.
Statistical decision (don't decline null every hypothesis happen to be plausible; reject accept almost all alternative hypotheses) Interpretation
3rd party group t-tests
The logic of screening hypothesis about the means of two 3rd party groups is the same as for prior statistical tests Some minor calculations differences that could seem difficult at first Quality provides a more detailed discussion of the conventional deviation The equation for virtually any test can be thought of as 3 parts
Expected benefit (if H0 is true)
A way of measuring the variability in the sample statistic
H0 is written as the difference between two means
Two assumptions greatly simplify equations
Homogeneity of Variance: it is assumed that variance in population one particular Is corresponding to the variance in populace 2 . ESSENTIAL!!!
The presumption regards the people variances, not really sample diversities. It is possible that s21 is not comparable to s22
Second assumptionвЂ¦ Normality
CI to get a single mean
For a 1 sample t-test
CI = Meters +/- (t-critical) (sm)
пѓ Critical value was a function of df and desired amount of confidence
The logic of a CI pertaining to the difference among two means is identical to solitary group imply We are 95% confident the population means of the difference scores among husbands and wives inside the population is within the range of -1. 669 to 3. 669.
CI for Independent-Groups t-test
CI[0. 84 в‰¤ ОјR-ОјC в‰¤ being unfaithful. 26] =. 96. Based on...