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R can be used to find the critical value for an F distribution for a given significance level. For example, to find the critical value (the value above which you would reject the null hypothesis) for a = 0.05 with dfbetween 5 and dfwithin = 60, then F1-0.05 is found with: qf (1-0.05, df1=5, df2=60) Enter this code into RStudio to confirm you obtain the value 2.368. You conduct a one-way ANOVA with 7 groups and 10 subjects in each group (a balanced design). Use RStudio to find the critical values for a = 0.10 and a = 0.02 (report accurate to 3 decimal places). F1-0.10 = F1-0.02 =

R can be used to find the critical value for an F distribution for a given significance level. For example, to find the critical value (the value above which you would reject the null hypothesis) for a = 0.05 with dfbetween 5 and dfwithin = 60, then F1-0.05 is found with: qf (1-0.05, df1=5, df2=60) Enter this code into RStudio to confirm you obtain the value 2.368. You conduct a one-way ANOVA with 7 groups and 10 subjects in each group (a balanced design). Use RStudio to find the critical values for a = 0.10 and a = 0.02 (report accurate to 3 decimal places). F1-0.10 = F1-0.02 =

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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R can be used to find the critical value for an F distribution for a given significance level. For example, to find the critical value (the value above which you would reject the null hypothesis) for a = 0.05 with d fbetween = 5 and dfwithin 60, then F1-0.05 is found with: - qf (1-0.05, df1-5, df2=60) Enter this code into RStudio to confirm you obtain the value 2.368. You conduct a one-way ANOVA with 7 groups and 10 subjects in each group (a balanced design). Use RStudio to find the critical values for a = 0.10 and a = 0.02 (report accurate to 3 decimal places). F₁- -0.10 = F1-0.02 =
Transcribed Image Text:R can be used to find the critical value for an F distribution for a given significance level. For example, to find the critical value (the value above which you would reject the null hypothesis) for a = 0.05 with d fbetween = 5 and dfwithin 60, then F1-0.05 is found with: - qf (1-0.05, df1-5, df2=60) Enter this code into RStudio to confirm you obtain the value 2.368. You conduct a one-way ANOVA with 7 groups and 10 subjects in each group (a balanced design). Use RStudio to find the critical values for a = 0.10 and a = 0.02 (report accurate to 3 decimal places). F₁- -0.10 = F1-0.02 =
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