QUESTION 13 "Compared to an independent-measures design, a repeated-measures study is more likely to find a statistically significant effect because it reduces. the contribution of variance due to O time-related factors. order effects. the effect of the treatment. O individual differences.
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- Using the ROI data set: For each of the 2 majors test the hypothesis at the 5% significance level: The mean ‘Cost’ for a college is $160,000. Be sure to interpret your results. For Business versus Engineering majors conduct a two sample test of the hypothesis at the 10% significance level (assume the variances are not equal): The average ’30-Year ROI’ for Business majors is less than for Engineering Majors. Be sure to interpret your results.I need the answer to this question, please? An article included a summary of findings regarding the use of SAT I scores, SAT II scores, and high school grade point average (GPA) to predict first-year college GPA. The article states that "among these, SAT II scores are the best predictor, explaining 17 percent of the variance in first-year college grades. GPA was second at 15.5 percent, and SAT I was last at 13.5 percent." If the data from this study were used to fit a least squares line with y = first-year college GPA and x = high school GPA, what would the value of r2 have been? r2 =16
- The variance in a production process is an importance measure of the quality of the process. A large variance often signals an opprotunity for improvement in the process by finding ways to reduce the process variance. The conduct a statistical test to determine whether there is a significant differeence between the variance in the bag weights for two machines. Use a 0.05 level of significance. What is your conclusion? Which machine, if either, provides the greater opportunity for quality improvements? Machine 1 Machine 2 2.95 3.22 3.45 3.30 3.50 3.34 3.75 3.28 3.48 3.29 3.26 3.25 3.33 3.30 3.20 3.27 3.16 3.38 3.20 3.34 3.22 3.35 3.38 3.19 3.90 3.35 3.36 3.05 3.25 3.36 3.28 3.28 3.20 3.30 3.22 3.28 2.98 3.30 3.45 3.20 3.70 3.16 3.34 3.33 3.18 3.35 3.12 Please use excel4 4G I. moodle.unizwa.edu.om a | Quiz3 Time left 0:00:21 Question 3 Answer saved Marked out of 2.00 P Flag question Which one of the following choices describes a problem for which an analysis of variance would be appropriate? O A. Comparing the proportion of successes for three different treatments of anxiety. Each treatment is tried on 100 patients O B. Analyzing the relationship between high school GPA and college GPA O . Analyzing the relationship between gender and opinion about capital punishment (favor or oppose). O D. Comparing the mean birth weights of newborn babies for three different hospitals. O E. None of these Clear my choice Previous page Next page 1 2w-ANOVA(3) Jump to... Quiz navigation 7 +I understand how to find the f-ratio and generate a conclusion however I am really struggling with the p-values.
- please provide accurate answerPart 1. .If b = 0.523, then for every 1 unit increase in the independent variable, there is a 0.523 unit increase in the dependent variable. True or false? 2. .If b = .704, then 70.4% of the variance in the dependent variable can be explained by the variance in the independent variable. In contrast, 29.6% of the variance in the dependent variable can be explained by outside factors. True or false? 3. .If r = 0.444, then for every 1 unit increase in the independent variable, there is a 0.444 unit increase in the dependent variable. True or false?5.Stocks and Mutual Fund Ownership It has been found that 51.4% of U.S. households own stocks and mutual funds. A random sample of 300 heads of households indicated that 178 owned some type of stock. At what level of significance would you conclude that this was a significant difference? Use the P-value method. Assume the variable normally distributed. Use a graphing calculator. Find the P-value. At what level of significance is this a significant difference?
- Three different treatments and four different methods are tested for their ability to control acne. What is the value of the LSD (0.05) for the comparison among method means? Treatment 1 Treatment 2 Treatment 3 SUMMARY Treatment 1 Count Sum Average Variance Treatment 2 Count Sum Average Variance Treatment 3 Count Sum Average Variance 3 Anova: Two-Factor With Replication Total Count Sum Average Variance Method 1 5 6 7 ANOVA Source of Variation Sample 6 2 Method 1 2 11 5.5 0.5 2 13 6.5 0.5 2 5 2.5 0.5 6 29 4.833 3.767 Method 2 6 SS 36,75 7 8 7 3 4 Method 2 2 13 6.5 0.5 2 15 7.5 0.5 2 7 3.5 0.5 6 35 5.833 3.767 df 2 Method 3 7 8 9 8 4 6 Method 3 2 15 7.5 0.5 2 17 8.5 0.5 2 10 5 2 6 42 7 3.2 MS 18.4 Method 4 8 9 6 5 6 7 Method 4 2 17 8.5 0.5 2 11 5.5 0.5 2 13 6.5 0.5 6 41 6.833 2.167 F Total 8 56 7 1.714 8 56 7 1.714285714 8 35 4.375 3.125 P-value 2:370761-05 F crit 3.89In a study performed on comfort food eating during times of stress, it was found that mean rated comfort food consumption level (on a scale from 1-20) for a group of students undertaking their exam period was 14. In comparison, a group of students who were not undertaking exams or examination preparation had a mean rated comfort food consumption level of 10. The pooled estimate of the population variance was 64. What is the estimated effect size (d) of the study? 0.80 0.06 0.50 2.00Hi there, I am having a difficult time synthesizing this information I obtained from excel. I compiled the data utilizing a two-sample t-Test assuming equal variances. 1. Who is most likely to have prevalent coronary heart disease? Test if there are significant differences in the following risk factors between persons with and without prevalent coronary heart disease (CHD). Summarize the statistical results in the table below and then compare risk factors in persons with and without prevalent CHD. Patient Characteristic* History of CHD (n = 194) No History of CHD (n = 4240) p-value* Age, years 57.48 (7.42) 49.58 (8.57) < 0.001 Systolic blood pressure, mmHg 145.00 (27.03) 132.35 (22.03) < 0.001 Diastolic blood pressure, mmHg 87.14 (14.33) 82.90 (11.91) < 0.001 Total serum cholesterol, mg/dL 243.20 (45.61) 236.70 (44.59) 0.049 Body mass index 26.83 (4.45) 25.80 (4.08) < 0.001 * Mean (Standard deviation).…