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* = 2.39, dfbetween = 5 and dfwithin = 78. Then the p-value is: 1-pf (2.39, df1=5, df2=78) Enter this code into RStudio to confirm you obtain the value 0.04525. You conduct a one-way ANOVA with 5 groups and 9 subjects in each group (a balanced design) and obtain F* = 2.96. Use R to find the requested values, rounded to 4 decimal places. dfbetween = dfwithin P = =
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* = 2.39, dfbetween = 5 and dfwithin = 78. Then the p-value is: 1-pf (2.39, df1=5, df2=78) Enter this code into RStudio to confirm you obtain the value 0.04525. You conduct a one-way ANOVA with 5 groups and 9 subjects in each group (a balanced design) and obtain F* = 2.96. Use R to find the requested values, rounded to 4 decimal places. dfbetween = dfwithin P = =
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 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 \( F^* = 2.39 \), \( df_{\text{between}} = 5 \) and \( df_{\text{within}} = 78 \). Then the p-value is:
\[ \text{1-pf(2.39, df1=5, df2=78)} \]
Enter this code into RStudio to confirm you obtain the value \( 0.04525 \).
---
You conduct a one-way ANOVA with 5 groups and 9 subjects in each group (a balanced design) and obtain \( F^* = 2.96 \). Use R to find the requested values, rounded to 4 decimal places.
\( df_{\text{between}} = \)
\( df_{\text{within}} = \)
\( p = \)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff88b5752-dd79-4075-bd91-33bc819dbb89%2Ff0b41f4a-1bef-462c-b289-16fcb9d8149e%2Fxh3lo8_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 \( F^* = 2.39 \), \( df_{\text{between}} = 5 \) and \( df_{\text{within}} = 78 \). Then the p-value is:
\[ \text{1-pf(2.39, df1=5, df2=78)} \]
Enter this code into RStudio to confirm you obtain the value \( 0.04525 \).
---
You conduct a one-way ANOVA with 5 groups and 9 subjects in each group (a balanced design) and obtain \( F^* = 2.96 \). Use R to find the requested values, rounded to 4 decimal places.
\( df_{\text{between}} = \)
\( df_{\text{within}} = \)
\( p = \)
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