The data below was collected from a two-factor ANOVA experiment, factor A has 4 levels and factor B has 3 levels: Factor B 1 2 3 1 60 48 50 Factor A 53 50 48 46 44 49 4 51 43 52
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- The calculations for a factorial experiment involving four levels of factor A, three levels of factor B, and three replications resulted in the following data: SST = 281, SSA = 28, SSB = 22, SSAB = 177. Set up the ANOVA table. (Round your values for mean squares and F to two decimal places, and your p-values to three decimal places.) Mean Square Source Sum Degrees of Freedom F p-value of Variation of Squares Factor A Factor B Interaction Error Total Test for any significant main effects and any interaction effect. Use a = 0.05. Find the value of the test statistic for factor A. (Round your answer to two decimal places.) Find the p-value for factor A. (Round your answer to three decimal places.) p-value = State your conclusion about factor A. O Because the p-value sa = 0.05, factor A is significant. O Because the p-value s a = 0.05, factor A is not significant. O Because the p-value > a = 0.05, factor A is significant. O Because the p-value > a = 0.05, factor A is not significant. Find…Using MS Excel, run the independent-measures single-factor ANOVA for this severety of depression data: LowModerate HighModerate ModeratelySevere Severe 2.1 0.2 1.3 1.8 0.6 1.7 3.9 4.6 1.2 1.5 2.6 2.5 1.7 0.9 3.8 3.8 3 1.8 2.4 4.2 3.1 3.6 2.7 3.8 Fill in the summary table for the ANOVA test(Round answers for SS and MS to 3 decimal places.) S.S. d.f. M.S. Between Within TOTAL Also from Excel, obtain the necessary statistics for the ANOVA test:(Report P-value & F-ratio accurate to 3 decimal places.)F-ratio: p-value:An experiment was conducted to study the life (in hours) of two different brands of batteries in threedifferent devices (radio, camera, and portable DVD player). A completely randomized two-factorexperiment was conducted, and the following data resulted.Brand Deviceof Battery Radio Camera DVD PlayerA 8.6 7.9 5.48.2 8.4 5.7B 9.4 8.5 5.88.8 8.9 5.9(a) Analyze the data and draw conclusions, using α = 0.05. (b) Investigate model adequacy by plotting the residuals. (c) Which brand of batteries would you recommend?
- 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 25Do men and women select different breakfasts? The breakfasts ordered by randomly selected men and women at a popular breakfast place is shown in Table 11.55. Conduct a test for homogeneity at a 5% level of significance. French Toast Pancakes Waffles Omelettes Men 47 35 28 53 Women 65 59 55 60In a randomized block experiment with treatment Factor T , what is the purpose of doing a multiple comparison if the treatment factor effect is significant?
- The calculations for a factorial experiment involving four levels of factor A, three levels of factor B, and three replications resulted in the following data: SST = 282, SSA = 27, SSB = 21, SSAB = 175. Set up the ANOVA table. (Round your values for mean squares and F to two decimal places, and your p-values to three decimal places.) Source Sum Degrees of Freedom Mean F p-value of Variation of Squares Square Factor A Factor B Interaction Error Total Test for any significant main effects and any interaction effect. Use a = 0.05. Find the value of the test statistic for factor A. (Round your answer to two decimal places.) Find the p-value for factor A. (Round your answer to three decimal places.) p-value = State your conclusion about factor A. O Because the p-value s a = 0.05, factor A is significant. O Because the p-value > a = 0.05, factor A is significant. O Because the p-value > a = 0.05, factor A is not significant. O Because the p-value sa = 0.05, factor A is not significant. Find…The effect of the time of day a psychology class is taught on test scores is being studied in an experiment. Student ability has been identified as an extraneous factor that could also affect test scores. How can student ability best be addressed to minimize its effect in the experiment? O A. Direct control of what textbook is used B. Randomization of students in morning and afternoon classes O C. Replication of the experiment at different times of the year D. Blocking into groups based on the teacher of the classA marketing organization wishes to study the effects of four sales methods on weekly sales of a product. The organization employs a randomized block design in which three salesman use each sales method. The results obtained are given in the following table, along with the JMP output of a randomized block ANOVA of these data. Salesman, j Sales Method, i A B C 1 32 29 30 2 32 30 28 3 28 25 23 4 25 24 20 Analysis of Variance Source DF Sum of Squares Mean Square F Ratio Model 5 153.08333 30.6167 23.4511 Error 6 7.83333 1.3056 Prob > F C. Total 11 160.91667 31.9223 0.0007* Effect Tests Source Nparm DF Sum of Squares F Ratio Prob > F Method 3 3 124.916670 31.8936 0.0004* Salesman 2 2 28.166670 10.7872 0.0103* Least Squares Means Estimates Method Estimate Salesman Estimate 1 30.333333 A 29.000000 2 30.000000 B 27.000000 3 25.333333 C 25.250000 4 22.666667 Tukey HSD All Pairwise Comparisons Quantile…
- A mail-order catalog firm designed a factorial experiment to test the effect of the size of a magazine advertisement and the advertisement design on the number of catalog requests received (data in thousands). Three advertising designs and two different-size advertisements were considered. The data obtained follow. Size of Advertisement Small Large 8 12 12 8 26 22 Design B 18 26 6 22 14 18 Use the ANOVA procedure for factorial designs to test for any significant effects due to type of design, size of advertisement, or interaction. Use a = 0.05.Which of the following is a component of a 2 x 3 Factorial ANOVA? Factor A main effect Factor B main effect Interaction effect All of the aboveI need help with this table.