R can be used to find the probability of obtaining a given F value or one more extreme (calculates the area under the curve to the left of the value). The function requires the F* test statistic, the degrees of freedom for the numerator and the degrees of freedom for the denominator (entered in that order). For our example, we will use F* = 2.19, dfbetween = 5 and dfwithin = 54. Then the p-value is: 1-pf (2.19, df1-5, df2=54) Enter this code into RStudio to confirm you obtain the value 0.06871. You conduct a one-way ANOVA with 3 groups and 10 subjects in each group (a balanced design) and obtain F* = 4.19. Use R to find the requested values, rounded to 4 decimal places. d fbetween = 2 dfwithin = 27 p = 0.0537
R can be used to find the probability of obtaining a given F value or one more extreme (calculates the area under the curve to the left of the value). The function requires the F* test statistic, the degrees of freedom for the numerator and the degrees of freedom for the denominator (entered in that order). For our example, we will use F* = 2.19, dfbetween = 5 and dfwithin = 54. Then the p-value is: 1-pf (2.19, df1-5, df2=54) Enter this code into RStudio to confirm you obtain the value 0.06871. You conduct a one-way ANOVA with 3 groups and 10 subjects in each group (a balanced design) and obtain F* = 4.19. Use R to find the requested values, rounded to 4 decimal places. d fbetween = 2 dfwithin = 27 p = 0.0537
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![R can be used to find the probability of obtaining a given F value or one more extreme (calculates the area
under the curve to the left of the value). The function requires the F* test statistic, the degrees of
freedom for the numerator and the degrees of freedom for the denominator (entered in that order).
For our example, we will use F* = 2.19, dfbetween = 5 and dfwithin = 54. Then the p-value is:
1-pf (2.19, df1=5, df2=54)
Enter this code into RStudio to confirm you obtain the value 0.06871.
You conduct a one-way ANOVA with 3 groups and 10 subjects in each group (a balanced design) and obtain
F* = 4.19. Use R to find the requested values, rounded to 4 decimal places.
d fbetween
2 ✓ 08
df within =
P = 0.0537
27](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F56888ea7-2c48-4c08-b7fb-3bfa96ffdacf%2F043c9ce0-3162-4321-b93a-a43878b68591%2Fy28lkft_processed.png&w=3840&q=75)
Transcribed Image Text:R can be used to find the probability of obtaining a given F value or one more extreme (calculates the area
under the curve to the left of the value). The function requires the F* test statistic, the degrees of
freedom for the numerator and the degrees of freedom for the denominator (entered in that order).
For our example, we will use F* = 2.19, dfbetween = 5 and dfwithin = 54. Then the p-value is:
1-pf (2.19, df1=5, df2=54)
Enter this code into RStudio to confirm you obtain the value 0.06871.
You conduct a one-way ANOVA with 3 groups and 10 subjects in each group (a balanced design) and obtain
F* = 4.19. Use R to find the requested values, rounded to 4 decimal places.
d fbetween
2 ✓ 08
df within =
P = 0.0537
27
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