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MATH - A study wants to examine the relationship between student anxiety for an exam

Question # 00011284
Subject: Mathematics
Due on: 03/31/2014
Posted On: 03/31/2014 12:42 AM

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A study wants to examine the relationship between student anxiety for an exam and the number of hours studied. The data is as follows:


Student Anxiety Scores Study Hours


5 1
10 6
5 2
11 8
12 5
4 1
3 4
2 6
6 5
1 2

1.Why is a correlation the most appropriate statistic?
2.What is the null and alternate hypothesis?
3.What is the correlation between student anxiety scores and number of study hours? Select alpha and interpret your findings. Make sure to note whether it is significant or not and what the effect size is.
4.How would you interpret this?
5.What is the probability of a type I error? What does this mean?
6.How would you use this same information but set it up in a way that allows you to conduct a t-test? An ANOVA?

Tags student anxiety exam relationship examine study wants math anxiety study hours student correlation interpret number scores size 4how 5what effect ttest note anova significant probability type mean 6how information sure does error conduct allows select data follows 1why

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MATH - A study wants to examine the relationship between student anxiety for an exam

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Posted On: 03/31/2014 12:44 AM
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Tutorial Preview …What xx the xxxxxxxxxxx between student xxxxxxx scores and xxxxxx of xxxxx xxxxxx Select xxxxx and interpret xxxx findings Make xxxx to xxxx xxxxxxx it xx significant or xxx and what xxx effect xxxx xx The xxxxxxxxxxx coefficient can xx calculated from xxx information xx xxx table xxxxxx AnxietyScores (x) xxxxxxx…
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MATH_-_A_study_wants_to_examine_the_relationship_between_student_anxiety_for_an_exam.docx (311.68 KB)
Preview: less xxxx the xxxxxxxx r value, xxx decisionwould be xx fail xx xxxxxx the xxxx hypothesis, resulting xx the conclusion xxxx thereis xxx x significant xxxxxxxxxxx between the xxx variables One xxxxxxx of xxxxxx xxxx is xxx coefficient of xxxxxxxxxxxxxx which is xxx squareof xxx xxxxxxxxxxx of xxxxxxxxxxxx r In xxxx case, the xxxxxxxxxxx of xxxxxxxxxxxxx xxxxxxx to xx 5654)2 = x 3197, which xxxxxxxxx that xxxx xx 97% xx the variation xx the dependent xxxxxxxx is xxxxxxxxx xx variation xx the independent xxxxxxxx Neither the xxxxxxxxxxx coefficient xx x 5654, xxx the coefficient xx determination of x 3197, xxxx xx indicate x particularly strong xxxxxxxxxxxx between the xxxxxxxxx What xx xxx probability xx a type x error? What xxxx this xxxxxxxx xxxxxxxxxxx of x Type I xxxxx is equal xx the xxxxxxxx xxxxx of x also.....
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