With alpha = 0.05, what is the change of committing a Type-p error if one reject

Question

With alpha = 0.05, what is the change of committing a Type-p error if one rejected H_0? 0.025 0 0.05 can't be determined. With alpha = 0.05, what is the change of committing a Type-p error if one failed H_0? 0.025 0 0.05 can't be determined. For the repeated-measures t-test, H_0 should be started like: H_0;mu_0 = 0 H_0 = 0 H_0;mu_0 notequalto 0 H_0;mu_0 - mu_2 = 0. How many individuals participated in an independent-measures design with df = 24? 52 22 24 26 How many individuals participated in an repeated-measures design df = 49? 49 50 51 25. How many individuals participated in a matched-subjected design with df = 12? 26 13 11 14 Dr. z is interested in the effects of an antidepressant on men and women of three age group (teens, little-aged adults, and old-aged people) using three doses (0 mg, 500 km, and 1000 mg). Dr. Z should use a(n) test for her statistical analysis chi-square a series of independent - measure t tests related-samples t ANOVA. A disadvantages of a repeated-measure (related samples t test with one subject sample) is that you only need a small number of subjects it is not a powerful statistical test. one can compare only three means. there is a possibility of a carry-over effect. Which of the following sets of correlation correctly shows the higest to lowest degree to relationship? -0.91; + .83; -0.03; -0.10; 0.91; + .83; -0.10; -0.03; +0.83; + 0.10; -0.91; -0.03 -0.03; +0.83; + 0.10; -0.03; -0.91 In a 3 times 2 design there are factors treatment conditions (cells) 3:9 24;3 3;24 9;3.

Explanation / Answer

20.

The probability of making a type I error is , which is the level of significance you set for your hypothesis test. An of 0.05 indicates that you are willing to accept a 5% chance that you are wrong when you reject the null hypothesis.

The other name for this is the level of statistical significance.

Answer is therefore C

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