An increasing trend has been noted in all the groups. t -test means: Difference between two independent means (two groups) Analysis: A priori : Compute required sample size Input: Tail(s) = Two Effect size d = 2 α err prob = 0.05 Power (1-β err prob) = 0.95 Allocation ratio N2/N1 = 1 Output: Noncentrality parameter δ = 4.0000000 Critical t = 2.1447867 Df = 14 Sample size group 1 = 8 Sample size group 2 = 8 Total sample size = 16 Actual power = 0.9602208 The minimum sample size required according to the above formula is 16.
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A comparative in vitro analysis of various temporization materials with respect to pulp chamber temperature changes during polymerization.
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