The result of an One-Way ANOVA for total stress symptoms among four groups of teachers (pre-k, elementary, middle, high school) was F(3, 117) = 3.827, p < .05. The corresponding effect size was η2 = .26. What can be concluded about these results?
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The result of an One-Way ANOVA for total stress symptoms among four groups of teachers (pre-k, elementary, middle, high school) was F(3, 117) = 3.827, p < .05. The corresponding effect size was η2 = .26. What can be concluded about these results?
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- The administrator of a school board in a large county was analyzing the average mathematics test scores in the schools under her control. She noticed that there were dramatic differences in scores among the schools. In an attempt to improve the scores of all the schools, she isolated factors that could account for the differences and were easily obtained from HR. Accordingly, she took a random sample of 40 schools across the county and for each determined: Test Score, Y: the mean test score last year at the school sampled Math Dgr, X1: the percentage of teachers in each school who have at least one university degree in math Age, X2: the mean age of the math teachers at the school sampled Income, X3: the mean annual income of the math teachers at the school sampled Conduct a simple linear regression analysis for each of the variables predicting mean test score and fill in the table below. Variable Equation…The administrator of a school board in a large county was analyzing the average mathematics test scores in the schools under her control. She noticed that there were dramatic differences in scores among the schools. In an attempt to improve the scores of all the schools, she isolated factors that could account for the differences and were easily obtained from HR. Accordingly, she took a random sample of 40 schools across the county and for each determined: Test Score, Y: the mean test score last year at the school sampled Math Dgr, X1: the percentage of teachers in each school who have at least one university degree in math Age, X2: the mean age of the math teachers at the school sampled Income, X3: the mean annual income of the math teachers at the school sampled Data: Test Score Math Dgr Age Income 73.9 77 52 44.4 59.4 48 32 49 64.6 33 50 52.6 59.8 25 43 39.6 58.8 25 40 40.7 58.7 39 33 38 68.5 71 37 25.1…Investigators wished to study whether pregnant women over the age of 42 were more likely to suffer from postnatal depression than the general population. The mean Edinburgh Postnatal Depression Scale rating for the population is estimated to be about 21. The 121 women over the age of 42 in the study reported a mean EPDS score of 23 (SD=1.7). You are interested in investigating if there a significant difference between the women in the study and the general population. What kind of sample and outcome is this?