Researchers would like to investigate whether the time of the exam could affect students' performance on a test. They randomly select 120 students and let 50 of them take exams in the morning whereas 70 of them tested in the afternoon. Assume the 120 students have similar skills and the exams are of similar difficulties. The researchers want to do a statistical test to understand if the mean morning test score is in fact different from the mean afternoon test score session. a) Which of the following inference procedure they should choose [Select ] b) What is the most appropriate null hypothesis for this test? [ Select ] c) The p-value for this is 0.893. How would the researcher interpret this p-value? Is there evidence that there is a difference in mean morning test scores and afternoon test scores? [ Select ]
Researchers would like to investigate whether the time of the exam could affect students' performance on a test. They randomly select 120 students and let 50 of them take exams in the morning whereas 70 of them tested in the afternoon. Assume the 120 students have similar skills and the exams are of similar difficulties. The researchers want to do a statistical test to understand if the mean morning test score is in fact different from the mean afternoon test score session. a) Which of the following inference procedure they should choose [Select ] b) What is the most appropriate null hypothesis for this test? [ Select ] c) The p-value for this is 0.893. How would the researcher interpret this p-value? Is there evidence that there is a difference in mean morning test scores and afternoon test scores? [ Select ]
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
![Researchers would like to investigate whether the time of the exam could affect students'
performance on a test. They randomly select 120 students and let 50 of them take exams in the
morning whereas 70 of them tested in the afternoon. Assume the 120 students have similar skills
and the exams are of similar difficulties.
The researchers want to do a statistical test to understand if the mean morning test score is in fact
different from the mean afternoon test score session.
a) Which of the following inference procedure they should choose [Select ]
b) What is the most appropriate null hypothesis for this test?
[ Select ]
c) The p-value for this is 0.893. How would the researcher interpret this p-value? Is there evidence
that there is a difference in mean morning test scores and afternoon test scores?
[ Select ]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F11940571-f497-46e8-981c-bdde10684f5d%2Fbc35cf72-6a53-4704-ba6f-6e073547acc8%2Frcd9hhk_processed.png&w=3840&q=75)
Transcribed Image Text:Researchers would like to investigate whether the time of the exam could affect students'
performance on a test. They randomly select 120 students and let 50 of them take exams in the
morning whereas 70 of them tested in the afternoon. Assume the 120 students have similar skills
and the exams are of similar difficulties.
The researchers want to do a statistical test to understand if the mean morning test score is in fact
different from the mean afternoon test score session.
a) Which of the following inference procedure they should choose [Select ]
b) What is the most appropriate null hypothesis for this test?
[ Select ]
c) The p-value for this is 0.893. How would the researcher interpret this p-value? Is there evidence
that there is a difference in mean morning test scores and afternoon test scores?
[ Select ]
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