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* = 2.32, dfbetween = 6 and dfwithin 1-pf (2.32, df1=6, df2=70) Enter this code into RStudio to confirm you obtain the value 0.04225. P = - You conduct a one-way ANOVA with 5 groups and 6 subjects in each group (a balanced design) and obtain F* = 2.78. Use R to find the requested values, rounded to 4 decimal places. dfbetween df within = 70. Then the p-value is:
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* = 2.32, dfbetween = 6 and dfwithin 1-pf (2.32, df1=6, df2=70) Enter this code into RStudio to confirm you obtain the value 0.04225. P = - You conduct a one-way ANOVA with 5 groups and 6 subjects in each group (a balanced design) and obtain F* = 2.78. Use R to find the requested values, rounded to 4 decimal places. dfbetween df within = 70. Then the p-value is:
Chapter5: Exponential And Logarithmic Functions
Section5.5: Exponential And Logarithmic Models
Problem 4ECP
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