Se sx !n 2 1 (compute with technology) se2 SE 21b12 # 1xn - x 22 + B n SE 2 1b12 Linear Regression t-Test or Confidence Interval for b Histogram of residuals is approximately unimodal and symmetric, or normal probability plot reasonably straight.* (*less critical as n increases) Association between two quantitative variables ( b = 0?) 1.Goodness of fit (df = # of cells - 1 one variable, one sample compared with population model) 1.Both histograms are unimodal and symmetric.* Histogram of differences is unimodal and symmetric.* 1. Successes and failures each Ú 10 for both groups.ġ. Both are SRSs and n 6 10% of populations OR random allocation. (Think about how the data were collected.) 2. Both populations are Normal.Īnd the Conditions That Support or Override Themġ. Two independent groups (df from technology) 1.Assumptions for Inference Proportions (z)
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