The following data are from a hypothetical experiment in which one group of students took a quiz in a well-lit room and another group of students took the quiz in dimly lit room. What test should you perform? Do these data indicate a significant difference between the treatments (room lighting) at the .05 level of significance?
The following data are from a hypothetical experiment in which one group of students took a quiz in a well-lit room and another group of students took the quiz in dimly lit room. What test should you perform? Do these data indicate a significant difference between the treatments (room lighting) at the .05 level of significance?
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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![The following data are from a hypothetical experiment in which one group of students took a quiz in a
well-lit room and another group of students took the quiz in dimly lit room. What test should you perform?
Do these data indicate a significant difference between the treatments (room lighting) at the .05 level of
significance?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe2fad26f-bc61-41c4-9869-9e4746e188e2%2F927c90d3-4627-4793-a36f-4cdb5c81294a%2Fj84syys.jpeg&w=3840&q=75)
Transcribed Image Text:The following data are from a hypothetical experiment in which one group of students took a quiz in a
well-lit room and another group of students took the quiz in dimly lit room. What test should you perform?
Do these data indicate a significant difference between the treatments (room lighting) at the .05 level of
significance?
Expert Solution
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Step 1
In this study, one group of students took quiz in well-lit room and another group of students took quiz in dimly lit room. Since there are two independent samples and the population standard deviation is not known two independent samples t test must be used.
Thus, the test that should be performed is two independent samples t test.
The claim is to test whether the is significant difference between the treatment or not. Let be the population mean score of treatment 1 and be the population mean score of treatment 2.
Null hypothesis:
Alternative hypothesis:
The mean for treatment 1 is,
The mean for treatment 1 is 8.
The mean for treatment 2 is,
The mean for treatment 2 is 14.
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