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MIDTERM EXAMINATION
Name ____________________________________
Simply look at information in both data view and variable view.
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_______________________________________________________________ _______________________________________________________________ *Hint- All the variables in this data set are labeled ordinal. This however is not correct. Use your knowledge of levels of measurement to answer the last three questions. 2. Open the GSS93 subset. Create an out put that shows the frequencies, creates a bar chart, and has the mean and standard deviation for the “agewed” variable.
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3. Open the World 95 Data set. Look at case summaries for the “urban” variable. A.
From the case summaries, what country has the highest percentage of
people living in cities other than Look at the frequencies for and create a histogram with a normal curve for the population increase variable.
B. What is the most frequent percent category under which the most countries/cases fall? _________________ C. What kind of distribution is this? Explain. __________________________________________________________________ Dr. Taylor is interested in finding out how well Peter Piper picks pecks of pickled peppers. Peter picks pecks of pickled peppers in two ways, by hand and by using a machine.
D. What is the I.V. and what is the D.V.? Answer this by giving the variables labels.
I.V. = _______________________ D.V. = ___________________________ D. Circle the correct answer. Dr. Taylor’s’ hypothesis is that these variables will impact one another. If he is wrong, then we will, a. Accept the Research Hypothesis. b. Reject the Null Hypothesis. c. Accept the Null Hypothesis. * Look through your notes to remember what Ho and No stand for. 4. Open the World95 Data set. Run a Correlation on the following two variables, “literacy” and “Urbanization” Also create a scatter plot for the correlation, remember to put the variables in the correct axis. A. Write a Null Hypothesis (No) concerning the two variables before interpreting the output. Now look at your output. B. Do the variables co-vary? How do you know this? ____________________________________________________________ C. Is the relationship strong, moderate or weak? How do you know this? ____________________________________________________________ D. If there is a relationship, is it positive or negative? ____________________ E. In words, what does the correlation and scatter-plot tell us? ____________________________________________________________ ____________________________________________________________ ____________________________________________________________
Run a cross tabulation on the “vote92” and “degree” variables. Click on Chi-Square, Cramer’s V in statistics, and display clustered bar charts. Also, click on cells and check column percent. Look at the percentages across the rows for interpretation. A. What is the difference in voter count among people with less than a high school education? __________________ B. What does the Chi-square tell you? _____________________________ C. Explain the relationship with regards to voting counts within each educational category. . Simple Statement!! __________________________________________________________________ D. Now, Write a Research Hypothesis (Ho). Formalize it. Think about Direction. __________________________________________________________________ __________________________________________________________________ __________________________________________________________________ E. Interpret the Cramer’s V statistic as you would a Pearson’s correlation coefficient. Is this a strong, moderate, or weak relationship? __________________________________________________________________ __________________________________________________________________
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