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 df between = 6 and dfwithin = 56, then F1-0.05 is found with: qf (1-0.05, df1-6, df2=56) Enter this code into RStudio to confirm you obtain the value 2.266. You conduct a one-way ANOVA with 4 groups and 8 subjects in each group (a balanced design). Use RStudio to find the critical values for a = 0.10 and a = 0.01 (report accurate to 3 decimal places). F1-0.10 2.157 F1-0.01 4.074 X

MATLAB: An Introduction with Applications
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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 = 6 and dfwithin = 56, then F1-0.05 is found with:
qf (1-0.05, df1=6, df2=56)
Enter this code into RStudio to confirm you obtain the value 2.266.
You conduct a one-way ANOVA with 4 groups and 8 subjects in each group (a balanced design). Use RStudio
to find the critical values for a = 0.10 and a = 0.01 (report accurate to 3 decimal places).
F1-0.10 = 2.157
X
F1-0.01
4.074 x
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 dfbetween = 6 and dfwithin = 56, then F1-0.05 is found with: qf (1-0.05, df1=6, df2=56) Enter this code into RStudio to confirm you obtain the value 2.266. You conduct a one-way ANOVA with 4 groups and 8 subjects in each group (a balanced design). Use RStudio to find the critical values for a = 0.10 and a = 0.01 (report accurate to 3 decimal places). F1-0.10 = 2.157 X F1-0.01 4.074 x
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