MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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How many separate groups of participants would be needed for an independent-measures, two-factor study with 2 levels of factor A and 3 levels of factor B?
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- What is the benefit of a factorial design that is not present in a single factor study is that you can what?arrow_forwardExplain what happens during each of the two stages of the two-factor ANOVA.arrow_forwardAnd conduct a two-factor ANOVA to investigate the effects of gender (The name of the variable in SPSS is "gender" and it has two levels, "male" vs. "female") and "minority classification" (In SPSS, the name of the variable is "minority", its label is "Minority Classification" ,and it has two levels "yes" and "no"; referring to whether an individual is part of a minority or not ) on beginning salary (In SPSS the name of the variable is "salbegin", and its label is "Beginning Salary). Use α = .05 a. If the main effect of Minority Classification is significant, describe the main effect of Minority Classification. Include the overall means and corresponding standard deviations in your description. Example = If there is a main effect of maternal diet, is the main effect of maternal diet significant? Why? Provide F-statistic, df of numerator, df of denominator, and p- value? Yes, the main effect of maternal diet is significant because p is less than alpha, F(1,16) = 40.67, p = .0001arrow_forward
- What are two reasons for conducting a study with more than two levels of a factor?arrow_forwardIf no main effects emerge in a two-factor ANOVA, there must also be no significant interaction between the two factors. Group of answer choices True Falsearrow_forwardfor a two way factor anova comparing the possible interaction between religion and anxiety, what is the alternativearrow_forward
- If the results of a two-factor ANOVA show no main effect for factor A but show a significant interaction, then the results indicate that factor A has no effect on the subjects' scores. True or Falsearrow_forwardAn article describes an experiment in which several types of boxes were compared with respect to compression strength (Ib). The table below presents the results of a single-factor ANOVA experiment involving I = 4 types of boxes. Туре of Box Compression Strength (Ib) Sample Mean Sample SD 1 655.5 788.3 734.3 721.4 679.1 699.4 713.00 46.55 2 789.2 772.5 786.9 686.1 732.1 774.8 756.93 40.34 3 737.1 639.0 696.3 671.7 717.2 727.1 698.07 37.20 535.1 628.7 542.4 559.0 586.9 520.0 562.02 39.87 Suppose that the compression strength observations on the fourth type of box had been 657.1, 750.7, 664.4, 681.0, 708.9, and 642.0 (obtained by adding 122 to each previous x). Assuming no change in the remaining observations, carry out an F test with a = 0.0 State the appropriate hypotheses. O Ho: H1 * M2 # Hz# H4 H: at least two u's are equal Ho: Hq = Hz = Mz =H4 H: at least two µ's are unequal O Ho: H1 = H2 = !3= H4 H: all four u,'s are unequal O Ho: H1 # 42 # Hz# H4 H: all four u's are equal Calculate…arrow_forwardQuestion The result of a One-Way ANOVA for total stress symptoms among four groups of teachers (pre-k, elementary, middle, high school) was F(3, 117) = 3.82, p < .05. The corresponding effect size was η2 = .265. What can be concluded about these results? Answer choices: For total stress symptoms, there was not significant difference among groups. For total stress symptoms, there was a significant difference among groups. The effect size was small. For total stress symptoms, there was a significant difference among groups. The effect size was medium. For total stress symptoms, there was a significant difference among groups. The effect size was very large.arrow_forward
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