You will create this Word document by cutting and pasting SPSS output into Word.
1. Why do we care whether the assumptions required for statistical tests are met? (You might also want to write your answer on a note card you paste to your computer.)
2. Open the data set that you corrected in a previous assignment for 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 display the normal curve (under Element Properties) and title your charts. Copy these plots into your assignment Word 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 assignment Word document (you do not need to copy the beginning output nor 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 reasonably normally distributed? (Just give 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 output into your assignment Word document (you do not need to paste the Frequency Table). What does the output tell you? You will need to comment on: sample size, measures of central 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 of normality met for these three variables? Does this match your visual observations from question #2?
6. Using the dataset SPSSExam.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 Numeracy for the entire dataset. Complete the same analysis using University as a grouping variable. Paste your output into your assignment Word document (you do not need to paste the Frequency Table). What do the results tell you with regard to whether the data is normally distributed?
7. Using the dataset SPSSExam.sav, determine whether the scores on computer literacy and percentage of lectures attended (with University as a grouping variable) meet the assumption of homogeneity of variance (use Levene's test). You must remember to unclick the "split file" option used above before doing this test. What does the output tell you? (Be as specific as possible.)
8. Describe the assumptions of normality and homogeneity of variance. When these assumptions are violated, what are your options? Are there cases in which the assumptions may technically be violated, yet have no impact on your intended analyses? Explain.© BrainMass Inc. brainmass.com October 16, 2018, 5:49 pm ad1c9bdddf
The solution is comprised of descriptive, graphical and T test using SPSS software. Normal p-p plots, histograms, histograms with normal curve, descriptive statistics and independent sample t test were performed using SPSS with full interpretation of the results. SPSS output is provided with the solution.
Statistical Analysis of Population and C02 per Capita Emission
Using the attached dataset and hypothesis below, kindly assist with the following:
1. Run descriptive statistics and a t test on the emissions dataset attached.
2. Include an SPSS output file of the descriptive statistics analysis in a Word document, along with each of the following elements:
a. The SPSS output, including graphical representations;
b. the narrative interpretation;
c. the governing assumptions of the analyses you ran;
d. the viable and nonviable hypotheses (null and alternative);
e. and the relevant values (such as a P value indicating statistical significance or a lack thereof).
H₁: There is a significant relationship between population and CO2 emissions per capita.
H₀: There is no significant relationship between population and CO2 emissions per capita.View Full Posting Details