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

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

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

An experiment has been conducted for four treatments with eight blocks. Complete the following analysis of variance table (to 2 decimals but p-value to 4 decimals, if necessary). If answer is zero enter "0". Source Sum Degrees Mean of Variation of Squares of Freedom Square F p-value Treatments 1,000 Blocks 600 Error Total 1900 Use a = 0.05 to test for any significant differences. The p-value is - Select your answer - What is your conclusion? Select your answer - 0- Icon Key
What are the values for SS and variance for the following sample of n = 3 scores? Sample: 8, 5, 2
Another idea is to look at how a team's payroll impacts its home attendance. Higher payroll usually signals more higher-skilled players on a roster which should brings fans to the ballpark to see these players. Create 2 samples based on Team Salary and calculate average attendance, variance of attendance, and standard deviation of attendance for each sample. Sample 1 = 10 teams with the highest team salary Sample 2 = 10 teams with the lowest team salary Tip: Use Excel's sorting tool to sort the data by salary (highest to lowest), and copy the 10 highest and 10 lowest into a separate part of the spreadsheet for easier analysis. Sample 1 Sample 2 Top 10 Team Salary Bottom 10 Team Salary Sample mean attendance mil mil Sample attendance variance mil mil Sample attendance standard deviation mil mil Perform a hypothesis test to determine whether there is a difference in the mean attendance of teams between the two groups…
An analysis of variance produces SSb = 40 and MSb = 20. In this analysis, how many treatment conditions are being compared?
what is the value in cell D? Round to 2 decimal places. How many total observations were there in the study? Hint: use df(total) to figure out the number of total observations. The following computer output is for an analysis of variance in which yields (bu/acre) of different varieties of oats were compared. Answer the following questions based on this ANOVA table. Source df SS MS F ratio Prob Between groups 2 76.90 38.45 D 0.63 Within groups 11 859.81 78.16 Total 13 936.17
Why are z scores useful, rather than just trying to interpret raw scores?
Consider the following ANOVA table below. Some parts are blank intentionally. The number of observations is 249. Source Model (Regression) Residual (Error) Total The MSE is: SS 1,332 DF MS 921 Round your answer to two decimal places.
Define what is a factor and a level in an Analysis of Variance (ANOVA). Give me an example of a factor with its levels.
A repeated-measures ANOVA participants: SS within = 36 and SS between subjects =15.For this analysis what is the value for SS error?