A factorial experiment involving two levels of factor A and three levels of factor B resulted in the following data. Factor B Level 1 Level 2 Level 3 139 86 75 Level 1 169 62 93 Factor A 121 131 120 Level 2 91 109 136 Test for any significant main effects and any interaction. 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. Because the p-value > a = 0.05, factor A is not significant. Because the p-value > a = 0.05, factor A is significant. Because the p-value < a = 0.05, factor A is significant. Because the p-value < a = 0.05, factor A is not significant. Find the value of the test statistic for factor B. (Round your answer to two decimal places.) Find the p-value for factor B. (Round your answer to three decimal places.) p-value = State your conclusion about factor B. Because the p-value < a = 0.05, factor B is significant. Because the p-value > a = 0.05, factor B is not significant. Because the p-value < a = 0.05, factor B is not significant. Because the p-value > a = 0.05, factor B is significant. O O

A factorial experiment involving two levels of factor A and three levels of factor B resulted in the following data. Factor B Level 1 Level 2 Level 3 139 86 75 Level 1 169 62 93 Factor A 121 131 120 Level 2 91 109 136 Test for any significant main effects and any interaction. 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. Because the p-value > a = 0.05, factor A is not significant. Because the p-value > a = 0.05, factor A is significant. Because the p-value < a = 0.05, factor A is significant. Because the p-value < a = 0.05, factor A is not significant. Find the value of the test statistic for factor B. (Round your answer to two decimal places.) Find the p-value for factor B. (Round your answer to three decimal places.) p-value = State your conclusion about factor B. Because the p-value < a = 0.05, factor B is significant. Because the p-value > a = 0.05, factor B is not significant. Because the p-value < a = 0.05, factor B is not significant. Because the p-value > a = 0.05, factor B is significant. O O

Name: Find the value of the test statistic for the interaction between fact
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: Find the value of the test statistic for the interaction between factors A and B. (Round your answer to two decimal places.)Find the p-value for the interaction between factors A and B. (Round your answer to three decimal places.)p-valueState your c

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

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 1 60 48 50 Factor A 2 53 50 48 46 44 49 4 51 43 52
A student surveyed a random sample of 301 students in her large college and collected the data in the table below, on the variables class year and favorite team sport. Perform a chi-square test to determine if the variables class year and favorite team sport are independent. Basketball Soccer Baseball/Softball Other Total Freshman 12 41 11 1 65 Sophomore 12 43 17 7 79 Junior 10 44 10 11 75 Senior 10 49 18 5 82 Total 44 177 56 24 301 What is the test statistic for the chi-squared test? (round to 3 dp) . The p-value for this test is . (If p-value <0.001, enter 0, otherwise report to 4 dp) Select the appropriate conclusion for this test at a significance level of α=0.05.A. Reject H0H0. We have significant evidence that class year and team sports are not independent.B. Fail to reject H0H0. We do not have significant evidence that class year and team sports are not independent.
The following table represents a 2-factor experiment, with each factor having two levels. The numbers in each cell represent the mean of participants' performance that were computed for each group after the experimental treatment. Note that one mean value is not given. What value of the missing mean would result in no main effect of factor A? O 12 17 19 21 O None of the above. B1 B2 A1 13 10 A2 ?
6.34 Barking deer. Microhabitat factors associated with forage and bed sites of barking deer in Hainan Island, China were examined. In this region woods make up 4.8% of the land, cultivated grass plot makes up 14.7%, and deciduous forests make up 39.6%. Of the 426 sites where the deer forage, 4 were categorized as woods, 16 as cultivated grassplot, and 61 as deciduous forests. The table below summarizes these data.39 Woods Cultivated grassplot Deciduous forests Other Total 4 16 61 345 426 (a) Write the hypotheses for testing if barking deer prefer to forage in cer- tain habitats over others. (b) What type of test can we use to answer this research question? (c) Check if the assumptions and conditions required for this test are sat- isfied. (d) Do these data provide convincing evidence that barking deer prefer to forage in certain habitats over others? Conduct an appropriate hypoth- esis test to answer this research question. Photo by Shrikant Rao (http://flic.kr/p/4Xjdkk) CC BY 2.0…
This question refers to excavations at a national monument. One question the archaeologists asked was: Is raw material used by prehistoric Indians for stone tool manufacture independent of the archaeological excavation site? Two different excavation sites gave the information in the following table. Use a chi-square test with 5% level of significance to test the claim that raw material used for construction of stone tools and excavation site are independent. Stone Tool Construction Material Material Site B Row Total Basalt 768 547 1315 Obsidian 101 94 195 Pedernal chert Other Column Total 536 499 1035 179 1496 1228 2724 (a) What is the level of significance? State the null and alternate hypotheses. O Ho: Stone tool material and site are independent. H: Stone tool material and site are not independent. O Ho: Stone tool material and site are not independent. H: Stone tool material and site are independent. O Ho: Stone tool material and site are independent. H: Stone tool material and…
Below is the incomplete summary table for an ANOVA. Source SS df MS F Factor A 420 ? ? ? Error ? 21 ? Total 744 23 2a. Fill out the missing value for each cell with a “?” in the table above. 2b. How many levels of the independent variable are there? _____ 2c. at alpha=.05, Fcrit = 2d. How many participants are there is the study? ______
The General Social Survey (GSS) collects data on demographics, eduction and work, among many other characteristics of US residents. Suppose we want to estimate the difference between the average number of hours worked by all Americans with a college degree and those without a college degree. Is there sufficient evidence that there is a significant difference between the average number of hours worked by those Americans with a college degree vs. those Americans without a college degree? Use the following output: Welch Two Sample t-testdata: yes and not = 3.1181, df = 1098.5, p-value = 0.001867alternative hypothesis: true difference in means is not equal to 095 percent confidence interval: 1.011652 4.445822sample estimates:mean of x mean of y 42.81574 40.08701 Using the provided output, find the 95% confidence interval for the difference of the average amount of hours worked for those that have a college degree vs. those that do not have a college degree (ie: for the difference of two…
The following table summarizes the results from a two-factor study with two levels of factor A and four levels of factor B using a separate sample of n=5 participants in each treatment condition. Fill in the missing values. Determine if any of the F-statistics are significant at . Source SS df MS Between Treatments ____ ____ Factor A 20 ____ ____ F=____ Factor B __ ____ 12 F=____ AxB Interaction ____ ____ 6 F=____ Within Treatments 64 ____ ____ Total ____ ____
A factorial experiment involving two levels of factor A and three levels of factor B resulted in the following data. Factor B Level 1 Level 2 Level 3 135 86 79 Level 1 165 62 97 Factor A 125 131 116 Level 2 95 109 132 Test for any significant main effects and any interaction. 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 > a = 0.05, factor A is not significant. O Because the p-value s a = 0.05, factor A is significant. Because the p-value > a = 0.05, factor A is significant. O Because the p-value a = 0.05, factor B is significant. O Because the p-value s a = 0.05, factor B is not significant. Because the p-value a = 0.05, factor B is not significant. Find the value of the test statistic for the interaction between factors A and B. (Round your answer to two decimal places.) Find…
A factorial experiment involving two levels of factor A and three levels of factor B resulted in the following data. Factor B Level 1 Level 2 Level 3 Factor A Level 1 136 89 75 166 65 93 Factor A Level 2 124 128 120 94 106 136 Test for any significant main effects and any interaction. Use ? = 0.05. Find the value of the test statistic for factor A. (Round your answer to two decimal places.) Test statistic=?? Find the p-value for factor A. (Round your answer to three decimal places.) p-value = ?? State your conclusion about factor A. -Because the p-value > ? = 0.05, factor A is significant. -Because the p-value > ? = 0.05, factor A is not significant. - Because the p-value ≤ ? = 0.05, factor A is not significant. -Because the p-value ≤ ? = 0.05, factor A is significant. Find the value of the test statistic for factor B. (Round your answer to two decimal places.) Test statistic=?? Find the p-value for factor B. (Round your…
A new vaccination is being used in a laboratory-experiment to investigate whether it is effective. There are 258 subjects in the study. Is there sufficient evidence to determine if vaccination and disease status are related? Vaccination Status Diseased Not Diseased Total Vaccinated 55 62 117 Not Vaccinated 70 71 141 Total 125 133 258 Copy Data Step 6 of 8: Find the critical value of the test at the 0.025 level of significance. Round your answer to three decimal places.
The National Football League (NFL) records a variety of performance data for individuals and teams. To investigate the importance of passing on the percentage of games won by a team, the following data show the average number of passing yards per attempt (Yds/Att) and the percentage of games won (WinPct) for a random sample of 10 NFL teams for the 2011 season (NFL website). Team Yds/Att WinPct 5.7 26 Arizona Cardinals Atlanta Falcons Carolina Panthers 7.6 67 7.3 52 6.9 51 Chicago Bears Dallas Cowboys 5.1 17 8.6 82 New England Patriots Philadelphia Eagles Seattle Seahawks 5.3 21 6.6 41 St. Louis Rams 6.5 41 Tampa Bay Buccaneers. 6.1 38 a. Choose the correct a scatter diagram with the number of passing yards per attempt on the horizontal axis and the percentage of games won on the vertical axis. B. A. WinPct WinPct 80 DD J F1 70- 60- 50+ -40- 30 20- F2 80 F3 000 000 F4 F5 80- -70 60- 50- 40- 30- 20- S F6 ● - F7 DII F8 F9 F10 () F11 <))) F12 A