You're examining the effects of two random factors, A and B, using an ANOVA. What should the denominator be for the test statistic of factor B?
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- Please help with this asapIt is claimed that in a bushel of peaches, fewer than 10% are defective. A sample of 400 peaches is examined and 68 are found to be defective. What is the z-test statistic? Multiple Choice +0.170 +0.323 −4.645 +4.667The Ahmadi Corporation wants to increase the productivity of its line workers. Four different programs have been suggested to help increase productivity. Twenty employees, making up a sample, have been randomly assigned to one of the four programs and their output for a day's work has been recorded. You are given the results below. At 95% confidence, conduct the ANOVA test to determine whether there is a significant difference in the mean output under the four programs. Program A Program B Program C Program D 150 150 185 175 130 120 120 135 180 160 145 110 Part of the ANOVA table is shown below. Source of Variation Sum of Squares 8,750 Between Groups Within Groups 16,350 Total 220 190 180 175 d.f. 19 150 120 130 175 Mean Square
- In a packing plant, a machine packs cartons with jars. It is supposed that a new machine will pack faster on the average than the machine currently used. New machine: X1 bar = 40.12, s1 = 0.656, nl = 12 Old machine: X2 bar = 43.54, s2 = 0.760, n2 = 12 These are independent samples. Find the pooled variance?In a single-factor ANÓVA if the value of MSreatments = 50 and MSE = 10, the value of the test statistic is: %3D O 5 O 15 O 20 O 25When three groups were compared using the one-way Analysis of Variance (ANOVA), the result turned out to be significant, that is, the null hypothesis was rejected. What will be the appropriate interpretation of this result?A. All three groups significantly differ in means.B. Exactly two of the three groups significantly differ.C. At least two of the three groups significantly differ in means.D. All three groups have the same effect on the dependent variable.
- A psychologist would like to know whether the season (autumn, winter, spring, and summer) has arny consistent effecat on people's sexual activity. In the middle of each sason, a psychologist selects a random sample of n = 26 studerts. Cach individual is given a sexual activity questionnaire. A one-factor ANOVA was used to analyze these data. Complete the following, ANOVA summary lable (a = 0.05). Round values for SS and MS to 3 decimal places as needed. Round p-value to 4 decimal places. Source ss df MS IP Between Within 1394 TOTAL With the given significance level, what is the decision regarding the hypotheses? Oreject the null hypothesis Ofail to reject the null hypothesis What would you canclude about these treatments? OThere is a meaningful difference between treatments. Thus, at least one mean is different. O These data do not provide meaningful evidence of a difference between the treatments. Thus, continue to assume all means are the same.A large department store examined a sample of the 21 credit card sales and recorded the amounts charged for each of three types of credit cards: MasterCard, Visa, and Discover. Six MasterCard sales, seven Visa, and eight Discover sales were recorded. The store used an ANOVA to test if the mean sales for each credit card were equal. What are the degrees of freedom for the F statistic?Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.
- An independent-measures research project has two sample variances, 12 and 6. Calculate the F-Max test for this project. Your answer will be a whole numberIn general, why does using a repeated-measures ANOVA increase statistical power compared to using a one-way between-groups ANOVA? Group of answer choices: a.MSbetween is lower b.MSerror is higher c.MSerror is lower d.MSbetween is higherYou read an online article that claims that 62% of 8-year-olds have social media accounts. You want to investigate that specific claim, so you set up a one-way chi square analysis and recruit 130 8-year-old participants for your sample. What is the expected frequency for the number of 8-year-olds in your sample who have social media accounts? mard Next