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EDU 8006-8 Assignment
1. Why do we care whether the assumptions required for statistical tests are met? (You mightalso wantto write your
answer on a note card you paste to your computer.)
2. Open the data setthat you corrected previouslyfor DownloadFestival.sav.You will use the following variables:
Day1, Day2, and Day3 (hygiene variable for all three days). Create a simple histogram for each variable.Choose to
displaythe normal curve (under ElementProperties) and title your charts.Copy these plots into your document.
3. Now create probability-probability(p-p) plots for each variable. This output will give you additional information.
Read over the Case Processing Summary.Notice that there is missing data for Days 2 and Day 3? Copy only the
Normal p-p Plots into your document(you do not need to copy the beginning outputnor the Detrended Normal p-p
Plots).
4. Examining the histograms and p-p plots describe the dataset,with particular attention toward the assumption of
normality.For each day, do you think the responses are reasonablynormallydistributed? (Justgive your impression
of the data.) Why or why not?
5. Using the same dataset,and the Frequency command,calculate the standard descriptive measures (mean,
median,mode,standard deviation,variance and range) as well as kurtosis and skew for all three hygiene variables.
Paste your outputinto your document(you do not need to paste the Frequency Table). What does the output tell
you? You will need to commenton:sample size,measures ofcentral tendency and dispersion and well as kurtosis
and skewness.You will need to either calculate z scores for skewness and kurtosis or use those given in the book to
provide a complete answer.Bottom line:is the assumption ofnormalitymetfor these three variables? Does this
match your visual observations from question #1?
6. Using the datasetSPSSExam.sav, and the Frequency command,calculate:the standard descriptive statistics
(mean,median,mode,standard deviation,variance and range) plus skew and kurtosis,and histograms with the
normal curve on the following variables:Computer,Exam,Lecture, and Numeracyfor the entire dataset.Complete
the same analysis using Universityas a grouping variable.Paste your output into your document(you do not need to
paste the Frequency Table). What do the results tell you with regard to whether the data is normallydistributed?
7. Using the datasetSPSSExam.sav, determine whether the scores on computer literacyand percentage of lectures
attended (with University as a grouping variable) meetthe assumption ofhomogeneityof variance (use Levene’s
test). You mustremember to unclick the “splitfile” option used above before doing this test.What does the output tell
you? (Be as specific as possible.)
8. Describe the assumptions ofnormalityand homogeneityof variance. When these assumptions are violated,what
are your options? Are there cases in which the assumptions maytechnicallybe violated, yet have no impacton your
intended analyses? Explain

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Edu 8006 8 assignment edu8006

  • 1. EDU 8006-8 Assignment/EDU8006 Click Link Below To Buy: https://hwaid.com/shop/edu-8006-8-assignmentedu8006/ Contact Us: hwaidservices@gmail.com EDU 8006-8 Assignment 1. Why do we care whether the assumptions required for statistical tests are met? (You mightalso wantto write your answer on a note card you paste to your computer.) 2. Open the data setthat you corrected previouslyfor DownloadFestival.sav.You will use the following variables: Day1, Day2, and Day3 (hygiene variable for all three days). Create a simple histogram for each variable.Choose to displaythe normal curve (under ElementProperties) and title your charts.Copy these plots into your document. 3. Now create probability-probability(p-p) plots for each variable. This output will give you additional information. Read over the Case Processing Summary.Notice that there is missing data for Days 2 and Day 3? Copy only the Normal p-p Plots into your document(you do not need to copy the beginning outputnor the Detrended Normal p-p Plots). 4. Examining the histograms and p-p plots describe the dataset,with particular attention toward the assumption of normality.For each day, do you think the responses are reasonablynormallydistributed? (Justgive your impression of the data.) Why or why not? 5. Using the same dataset,and the Frequency command,calculate the standard descriptive measures (mean, median,mode,standard deviation,variance and range) as well as kurtosis and skew for all three hygiene variables. Paste your outputinto your document(you do not need to paste the Frequency Table). What does the output tell you? You will need to commenton:sample size,measures ofcentral tendency and dispersion and well as kurtosis and skewness.You will need to either calculate z scores for skewness and kurtosis or use those given in the book to provide a complete answer.Bottom line:is the assumption ofnormalitymetfor these three variables? Does this match your visual observations from question #1? 6. Using the datasetSPSSExam.sav, and the Frequency command,calculate:the standard descriptive statistics (mean,median,mode,standard deviation,variance and range) plus skew and kurtosis,and histograms with the normal curve on the following variables:Computer,Exam,Lecture, and Numeracyfor the entire dataset.Complete the same analysis using Universityas a grouping variable.Paste your output into your document(you do not need to paste the Frequency Table). What do the results tell you with regard to whether the data is normallydistributed? 7. Using the datasetSPSSExam.sav, determine whether the scores on computer literacyand percentage of lectures attended (with University as a grouping variable) meetthe assumption ofhomogeneityof variance (use Levene’s test). You mustremember to unclick the “splitfile” option used above before doing this test.What does the output tell you? (Be as specific as possible.) 8. Describe the assumptions ofnormalityand homogeneityof variance. When these assumptions are violated,what are your options? Are there cases in which the assumptions maytechnicallybe violated, yet have no impacton your intended analyses? Explain