The caiculations for a factorial experiment involving four levels of factor A, three levels of factor B, and three replications resulted in the folowing data: SST 268, SSA- 2s, SSB 24, SSAB 160. Set up the ANOVA table and test for significance using a- 0.05. Show entries to 2 decimals, if necessary. If the answer is zero, enter "0, Use unrounded intermediate values for calculation, Source Sum Degrees Mean of Variation of Squares of Freedom Square Fvalue p-value Factor A Factor B Interaction Error Total

Table 1 summarizes the demographic and baseline data. Since two independent groups were included, the baseline data between these two groups were compared and p values were included in this table. Please tell which specific statistical test was used for the comparison between number of intubation attempts and trauma. Your answer should be as specific as possible. For example, was the test two-sided or one-sided? Was the test for paired samples or not?

If SSBetween = 225.31 and there are four groups in the study with 10 cases per group, MSBetween = :

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=277 , SSA=25 , SSB=22  , SSAB=175 . Set up the ANOVA table and test for significance using a.05 . Show entries to 2 decimals, if necessary. If the answer is zero enter “0”.   Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Factor A           Factor B           Interaction           Error         Total

You conduct a one-factor ANOVA with 6 groups and 10 subjects in each group (a balanced design) and obtain F 2.07. Use Excel to find the requested values (report p-value accurate to 4 decimal places). betwee dfwithin p =

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 = 263, SSA = 23, SSB = 22, SSAB = 160. Set up the ANOVA table and test for significance using a = 0.05. Show entries to 2 decimals, if necessary. If the answer is zero, enter "0". Use unrounded intermediate values for calculation. Source of Variation Factor A Factor B Interaction Error Total Sum of Squares 00000 The p-value for Factor A is Degrees of Freedom 00000 - Select your answer - What is your conclusion with respect to Factor A? + - Select your answer - The p-value for Factor B is - Select your answer - What is your conclusion with respect to Factor B? ◆ - Select your answer - The p-value for the interaction of factors A and B is ◆ ◆ Mean Square 0000 - Select your answer - What is your conclusion with respect to the interaction of Factors A and B? Select your answer - + F value ◆ p-value

A study was conducted to investigate whether there are regional differences in peanut butter preference in the United States. The country was divided into 7 geographic regions, and in each region a random sample of peanut butter eaters were asked whether they preferred creamy or crunchy peanut butter. The responses were summarized in a 7-by-2 table of counts for each combination of geographic region and creamy or crunchy peanut butter preference. A A two-sample z-test for a difference between proportions B A chi-square test of homogeneity C A chi-square test of independence D A chi-square goodness-of-fit test

Suppose you are comparing seven groups in an ANOVA, and your result is significant. You want to perform multiple comparison tests to determine which means differ from each other. Using Bonferroni's adjustment, what value of ape would you use for each pairwise comparison, if afw = 0.1? Round your answer to four decimal places. apc =

You conduct a one-factor ANOVA with 6 groups and 5 subjecis in each group (a balanced design) and obtain F = 2.48. Use Excel to find the requested values (report accurate Lo 4 decimal places). dfiuiwmn = dfanhin = P=