following results. Do the populations have different variances at 5% level of significance?

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 excel

Please explain and fill table with steps by step results

Post-hoc tests are necessary for an analysis of variance comparing only two treatment conditions.  t or f

Multiple choice. Please answer both questions below. 1.) The overall F-test obtained from performing a multi-way ANOVA comparing average cycling speed for 30 minutes of exercise across age groups (adolescents, adults, and the elderly) and geographic locations (rural and city subsamples) resulted in a p-value that was statistically significant for city versus rural but not for age. Which of the following is true? a. The variability between the rural/city area groups is larger than variability within each area, however, the variability between age groups is the same. b. The variability within the rural/city area groups is very large compared to between-group variability and the opposite for age. c. The ratio of the between and within variability was not sufficiently large for rural/city area. d. The F-statistic was larger than the critical value obtained from the F-distribution for age. 2.) Which of the following best describes the term (multi)collinearity in a regression setting? a. It…

The accompanying table lists pulse rates. Use a 0.05 significance level and apply the methods of two-way analysis of variance. What is the conclusion? Click on the icon to view the data table. C State the null and alternative hypotheses in the test for the effect of an interaction between row and column factors. Ho: There is no interaction between gender and age. H₁: There is an interaction between gender and age. What is the value of the test statistic for this test? F = 3.32 (Round to two decimal places as needed.) What is the corresponding P-value of the test statistic, F, for this P-value= (Round to three decimal places as needed.) Pulse Rates for Gender and Age Over 30 Years of Age Under 30 Years of Age Female 78 103 78 63 61 98 81 98 91 95 77 75 73 65 71 78 61 71 74 55 Female Male 60 81 56 69 68 74 75 68 63 56 46 70 61 65 91 80 59 58 64 59 Male D X

HYPERTENSION. The data below was collected from over 200 infants at 1 month of age. In this study a research nurse visited the home of each child and took their blood pressure using a special apparatus for measuring infant bp. She also noted whether the infant was asleep or awake and whether or not the child was agitated when the bp was taken.   Assuming equal variances, is there a significant mean difference in SBP between the quiet sleep infants and the awake and quiet infants?   1. What is the appropriate test to conduct in the above situation? 2. What is the degree of freedom? 3. What is the computed test statistic? 4. What is the correct conclusion for this test? 5. What can be implied from the conclusion above?

This is about ANOVA: 1. What does one-way mean? 2. What does between-subjects mean? 3. A researcher conducts a one-way ANOVA with four levels. How many different groups are in this study? 4. What are the two sources of variability for the one-way ANOVA?