In a one-way ANOVA, there are three independent samples, with n1 = 8, n2 =10 and n3 = 7. The calculated f-statistic is f = 3.95. At the 0.05 level of significance, what conclusion would be reached? Based on the F distribution tables, what is the most accurate statement that can be made about the p-value for this test?
Question 1- This week we are discussing two or more sample hypothesis testing. This includes knowing how to use an ANOVA for managerial decisions. Present a businessexample where you would use an ANOVA. State the hypothesis verbally and numerically.
Question 2- Using the example provided in Question 1, explain your sample. H
See attached files.
Complete the following exercises Be sure to save your output and export it to your Word document, in which you also must answer the analysis questions and present your results section as indicated:
Exercises 1-3 on p. 191, One-way analysis of variance (ANOVA)
Exercises 5-8 on p. 208, Two-way ANOVA
Whenever there are two independent variables and each independent variable has multiple groups, the most appropriate statistical test to use to compare these means and interactions is the two-way (factorial) ANOVA.
Please see attachments:
(a) Explain the difference between one-factor and two-factor ANOVA.
(b) Write the linear model form of one-factor ANOVA.
(c) State the hypotheses for a one-factor ANOVA in two different ways.
(d) Why is one-factor ANOVA used a lot?
Interpret the results of the ANOVA and the significance of the results to the business. Please explain how each day of the week has a different impact. Also, explain what this means to the banking industry. Explain the what the p values are telling you and the other statistics.
Please see attached file for full question and ANOVA table.
1. For each of the following situations, state how large the F statistic needs to be for rejection of the null hypothesis at the 5% level. Sketch each distribution and indicate the region where you would reject.
a). The main effect for the first factor in a 3 x 5
In a one-way ANOVA, there are three treatments with n1 = 6, n2 = 9 and n3 = 7. The rejection region for this test at the 97.5% level of significance is:
Please show all of your work