A statistics instructor wonders whether significant differences exist in her students’ test scores in her three different sections. She randomly selects the scores from 10 students in each section. A portion of the data is shown in the accompanying table. Assume test scores are normally distributed.
Click here for the Excel Data File
Click here for the CSV Data File
Section 1 | Section 2 | Section 3 | ||||||||
93 | 84 | 56 | ||||||||
54 | 71 | 93 | ||||||||
⋮ | ⋮ | ⋮ | ||||||||
93 | 50 | 96 | ||||||||
a. Construct an ANOVA table. (Round
"Sum Sq" and "Mean Sq" to 1 decimal place, "F value" to 3, and
"p-value" to 3 decimal places. Before fitting your model, type
options(scipen=10) and options(digits=10) into your R
console.)
b. Do these data provide enough evidence at the 5%
significance level to indicate that there are some differences in
average test scores among these three sections?
SOLUTION : -
a)
b)
p-value = 0.527699 > 0.05
So, Failed to reject the null hypothesis
No, Since the p-value is not less than the significant value.
Get Answers For Free
Most questions answered within 1 hours.