. In each instance indicate whether a Type I error, a Type II error, or no error was committed by the researcher. Note that Ho: µ1 − µ2 = 0 is the standard null hypothesis (i.e., no mean group difference) for a two-group t-test, although other versions of Ho are possible such as Ho: µ1 − µ2 = -.5 (i.e., the mean difference does not differ from -0.5). H0 H1 true value. Researcher's Decision Type of Error? (a) µ1 − µ2 = 0 µ1 − µ2 ≠ 0 2.33 reject H0 _______________ (b) µ1 − µ2 = 0 µ1 − µ2 ≠ 0 -1.27 fail to reject H0. ________________ (c) µ1 − µ2 = -.5. µ1 − µ2 ≠ -.5 -.5 fail to reject H0 ________________
. In each instance indicate whether a Type I error, a Type II error, or no error was committed by the researcher. Note that Ho: µ1 − µ2 = 0 is the standard null hypothesis (i.e., no mean group difference) for a two-group t-test, although other versions of Ho are possible such as Ho: µ1 − µ2 = -.5 (i.e., the mean difference does not differ from -0.5). H0 H1 true value. Researcher's Decision Type of Error? (a) µ1 − µ2 = 0 µ1 − µ2 ≠ 0 2.33 reject H0 _______________ (b) µ1 − µ2 = 0 µ1 − µ2 ≠ 0 -1.27 fail to reject H0. ________________ (c) µ1 − µ2 = -.5. µ1 − µ2 ≠ -.5 -.5 fail to reject H0 ________________
Chapter9: Sequences, Probability And Counting Theory
Section9.7: Probability
Problem 3SE: What is an experiment?
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1. In each instance indicate whether a Type I error, a Type II error, or no error was committed by the researcher. Note that Ho: µ1 − µ2 = 0 is the standard null hypothesis (i.e., no mean group difference) for a two-group t-test, although other versions of Ho are possible such as Ho: µ1 − µ2 = -.5 (i.e., the mean difference does not differ from -0.5).
H0 H1 true value. Researcher's Decision Type of Error?
(a) µ1 − µ2 = 0 µ1 − µ2 ≠ 0 2.33 reject H0 _______________
(b) µ1 − µ2 = 0 µ1 − µ2 ≠ 0 -1.27 fail to reject H0. ________________
(c) µ1 − µ2 = -.5. µ1 − µ2 ≠ -.5 -.5 fail to reject H0 ________________
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