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# Review t-tests - PowerPoint PPT Presentation

Review t-tests. Single-sample t-test (df = N – 1) Independent samples t-test (df = (n 1 – 1)+(n 2 – 1) ) Related or paired-samples t-test (df = N – 1). ANOVA formulas. One-way ANOVA df total = N – 1 df between = k – 1 df within =  (n – 1) or N – k. Repeated-measures ANOVA

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## PowerPoint Slideshow about 'Review t-tests' - raven

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Presentation Transcript

• Single-sample t-test (df = N – 1)

• Independent samples t-test (df = (n1 – 1)+(n2 – 1) )

• Related or paired-samples t-test (df = N – 1)

One-way ANOVA

dftotal = N – 1

dfbetween = k – 1

dfwithin = (n – 1) or N – k

Repeated-measures ANOVA

dftotal = N – 1

dfbetween = k – 1

dfwithin = N – k

dfbetween subjects = n – 1

dferror = dfwithin – dfbetween subjects

One-way ANOVA Repeated-measures ANOVA

Two-way ANOVA

dftotal = N – 1

dfbetween = k – 1 (or # cells -1)

dfwithin = N – k (or  (n-1) )

dfA = k – 1 (# rows – 1 for factor A)

dfB = k – 1 (# columns – 1 for factor B)

dfAxB = dfbetween – dfA - dfB

• Variance accounted for (r2)

• Small >.01

• Medium >.09

• Large > .25

• Paired samples t-test

• CI = MD ± t*(sMD)

• Cohen’s d

• Variance accounted for (r2)

• ANOVA: effect size = eta2

• z-test

• CI = M +/- z*(σM)

• One-sample t-test

• CI = M +/- t*(sM)

• Independent t-test

• CI = M1 – M2 +/- t*(sM1-M2)

• Cohen’s d

• Small >.2

• Medium >.5

• Large > .8

• Goodness of fit chi-square

• Frequency table of data

• Observed frequencies (fo)

• Compare to null hypothesis

• Expected frequencies (fe)

• Expected frequency

• fe = pn

• Chi-square equation

• df = C – 1, where C = # of categories