I am attaching the assignment that I need completed. SPSS software is required to compute the data....

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I am attaching the assignment that I need completed. SPSS software is required to compute the data. The 2nd attachment is the grading rubric. The 3rd attachment is a previous assignment so the tutor can see the descriptive analysis required.
	
Document Preview: Final ExamThe Word of God is a lamp unto our feet and a light unto our path and we are to confirm it by keeping His righteous ordinances (Psalms 119:105-106).IntroductionIn this assignment you will be able draw on the knowledge and skills you acquired this semester by reflecting on five research questions, determining the most appropriate statistical test for each question, running the test, and reporting the results in accordance with the APA Publication Manual. For this assignment you will consider the following parametric and nonparametric tests and run the most appropriate test to respond to each research question:?  One-sample t-Test?  Dependent t-Test?  Independent t-Test?  One-Way ANOVA?  Two-Way ANOVA?  Bivariate Correlation (Pearson r and Spearman rho)?  Partial Correlation?  Bivariate Linear Regression?  One-Sample Chi-Square Test?  Two-Way Contingency Table Analysis?  Mann-Whitney U Test?  McNemar Test?  Sign Test?  Wilcoxon TestAs you work on this assignment keep the following points in mind:In selecting the best test it is helpful to first determine a few things based on the research question and data:Does the research question imply a correlation, a prediction, or a difference test?What are the variables and their scales of measurement (i.e., ratio, interval, ordinal, or nominal)?How many categories or groups are you dealing with (i.e., one, two, or more)?Are the data independent or dependent?Carefully consider the research question and make sure your test responds to this question in a parsimonious manner.There may be more than one test that you can correctly use.You will work with the SPSS grades dataset for this assignment. This dataset describes an undergraduate education course consisting of three different sections taught by the same instructor. The variables and their descriptions are as follows:gender: gender (male, female)ethnicit: ethnicity (American-Indian, Asian, African-American, Caucasian, Hispanic)year:...

Robert · Accepted Answer

1) The first question to be answered is if there is a difference in the number of points earned by 
students  in  quiz1 and quiz 2 . 
H0:There is no difference  
H1:There is difference 
 To test that we need to run the paired t test as the sample is of the students taking both the quizzes 
is same , but the assumption of normality has to be met first . So we do a Kolmogorov –Smirnov test 
to determine if the quiz scores are normal or not.The following table shows the output of the K-S 
test:
Tests of Normality 
 Kolmogorov-Smirnova Shapiro-Wilk 
 Statistic df Sig. Statistic df Sig. 
Quiz 1 .170 105 .000 .881 105 .000 
Quiz 2 .181 105 .000 .908 105 .000 
a. Lilliefors Significance Correction    
The p value is less than 00.05, thus we  reject the null hypothesis that data is normally 
distributed. 
The Histogram for quiz 1 and quiz 2 scores also  depicts that data is not normally distributed .
 

 
So since the normality assumption is not satisfied we cannot use the dependent t test. So we 
will use an analogous non parametric test for dependent t test. So we use the Wilcoxon signed 
Rank test So using SPSS we run the Wilcoxon test and get the following output table
Test Statistics
b
 
 Quiz 2 - Quiz 1 
Z -2.612
a
 
Asymp. Sig. (2-tailed) .009 
a. Based on negative ranks. 
b. Wilcoxon Signed Ranks Test
The p value is 0.009 which is less than 0.05, thus we reject the null hypothesis and conclude 
that there is a significant difference in the scores of quiz 1 and quiz 2 at 5% level of 
significance. 
2) The next question is to answer if there is any difference in the final exam grades of those 
who turned in extra credit and those who did not.  
H0:There is no difference 
H1:There is difference. 
Since the sample here is independent we will use the independent sample t test , but one of 
the assumption for this test is the normality of the data . So will first test the normality of the 
data using the Kolmogorov-Smirnov test. We first translate the final grades A, B , C , D, F 
into scores 4,3,2,1,0 respectively. The taking these scores separately for both the groups we 
test the normality. The SPSS output is as follows:
Tests of Normality 
 Kolmogorov-Smirnova Shapiro-Wilk 
 Statistic df Sig. Statistic df Sig. 
SCR1 .181 83 .000 .901 83 .000 
a. Lilliefors Significance Correction
Tests of Normality 
 Kolmogorov-Smirnova Shapiro-Wilk 
 Statistic df Sig. Statistic df Sig. 
SCR2 .232 22 .003 .803 22 .001 
a. Lilliefors Significance Correction
Both the groups show non normality. The histogram is as follows:

I am attaching the assignment that I need completed. SPSS software is required to compute the data. The 2nd attachment is the grading rubric. The 3rd attachment is a previous assignment so the tutor...

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