Scenario Exam Joe collected a questionnaire from 28 students in his school on th
ID: 3061041 • Letter: S
Question
Scenario Exam
Joe collected a questionnaire from 28 students in his school on their attitudes toward the local science fair. Joe wanted to test the following null hypothesis:
H01: There is no significant difference among the attitude toward science fairs of students’ who either won 1st, 2nd, 3rd, or no award at all at the local science fair.
See questionnaire sheet below:
Award Question:
What award did you win? (1 = 1st place, 2 = 2nd place, 3 = 3rd place, 4 = I did not win an award)
Science Fair Attitude Questions (12 possible points):
Item 1: I enjoyed competing in the science fair: 4 = strongly agree, 3 = agree, 2 = disagree, 1 = strongly disagree
Item 2: The science fair was exciting: 4 = strongly agree, 3 = agree, 2 = disagree, 1 = strongly disagree
Item 3: The science fair was fun: 4 = strongly agree, 3 = agree, 2 = disagree, 1 = strongly disagree
Data Collection Sheet: (Note: See the data collection sheet below. You may cut and paste or type the data set into SPSS. Remember to leave off the header row when copying into SPSS).
I need Descreptive Statistics, Scatter Plot, Box and Whisker Plot, ANOVA, Shapiro-Wilk Test for Normality, Levene’s Test for Variance, Results of Post Hoc Test Multiple Comparisons , Turkey HSD (Homogeneous Subsets), Regression Statistics, Mean Plots, Tests of Between-Subjects Effects
Student ID
Award
Attitude Scores
1
1
7
2
1
8
3
3
9
4
2
8
5
4
3
6
1
9
7
1
9
8
2
7
9
4
3
10
4
4
11
3
8
12
4
5
13
3
9
14
2
7
15
4
3
16
2
9
17
4
5
18
1
9
19
3
8
20
2
9
21
4
4
22
3
7
23
1
8
24
1
7
25
3
8
26
2
8
27
2
8
28
3
7
Explanation / Answer
This is the problem of linear regression.
Dependent variable is attitude scores and award is the independent variable.
We fit regression in excel.
steps :
ENTER data into excel sheet --> Data --> Data analysis --> regression --> ok --> Input Y Range : select dependent variable range --> Input X Range : select independent variable range --> labels --> Output range : select one empty cell --> Click on normal probability plots --> ok
The regression equation is,
attitude score = 10.21 - 1.29*x
intercept = 10.21
slope = -1.29
For one unit change in x will be 1.29 unit decrease in the y.
Here test statistic follows F-distribution.
F = 28.85
P-value = 1.27E-05 = 0.0000
P-value < alpha (0.05)
Reject H0 at 5% level of significance.
Conclusion : We get significant result about F-test.
R square = 0.5260 = 52.60%
It expresses the proportion of variation in y which is expressed by variation in x.
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