Assignment #1
(100 Points in Total)
This assignment consists of two sections: 1) a quiz with 5 multiple-choice and fill-in-the-blank questions; and 2) a SPSS data project.
Answer question 4 based on the histogram below.
Answer question 5 based on the histogram below.
Total household income (in thousands)
In this project, you will summarize and report on a dataset called hw1_hrs2008sample (extension is .sav for SPSS).
Brief Data Description:
The data that you are using is a random sample from the Health and Retirement Study (HRS). The HRS is a survey to help study the behavior and well-beings of older Americans. Feel free to read more information about HRS following the llink: http://hrsonline.isr.umich.edu/. The dataset that you are using in this assignment, hw1_hrs2008sample, is a random sample from the HRS 2008 survey. All the variable names and descriptions are listed at the end of this assignment. You can easily find the same information from the SPSS “Variable View” window after you open the dataset.
Part I:
education categories). Identify which variables are quantitative and which are categorical. For categorical variables, please specify they are nominal or ordinal.
”Continue” => click “OK”).
“bar” which must be in percentage terms (rather than counts).
3) (12 Points) Describe in words the overall patterns you observe in each graph, such as the share of the categories for categorical variables, and the shape, the approximate center, and the range of the distribution for quantitative variables.
Part II:
(Use SPSS Analyze/Descriptive Statistics/Frequencies => select the variable into the window, click on “Statistics” => check the appropriate statistics required by this question, five-number summary and mean and standard deviation => click ”Continue” => click
“OK”.)
(Use Graphs => Chart Builder. In the pop-up window, click “OK”. Select the Box Plot at the bottom. Choose the icon with the single box plot if you are graphing one variable (for example, BMI). Drag the single box plot icon to the canvas above.
Drag your variable (for example, BMI) and place it on the y-axis. Click on OK. Your chart will appear in the Output window.)
Part III:
(To get means, standard deviations and five-number summary for males and females respectively, use SPSS Analyze/Descriptive Statistics/Explore => select your quantitative variable into the “Dependent List” window, and select the variable “gender” into the “Factor List” window => click “Statistics” => check on “Descriptives” and “Percentiles”, click “Continue” => click “Plots” => click ”Factor levels together” in the “Boxplots” panel, check off any other boxes if any has been pre-checked, now you can click “Continue” => click ”OK”. In your final answers, please do NOT keep the full (long) tables produced in SPSS as they may contain many statistics that you don’t need at this moment. Make a new table in your Word file, report only the necessary statistics such as the mean, standard deviation, and five-number summary, for males and females, respectively.)
(To draw the boxplot to compare males and females, use Graph/Legacy dialog/Boxplot => click on “Simple” icon and check the box “Summaries for groups of cases”, and then click “Define” => select the quantitative variable into “Variable” box, and select the variable
“gender” into the “Category Axis” box, click “OK”. You should then get the side-by-side boxplot for males and females. If necessary, change your vertical scale to make your graph look better.)
Data dictionary for the dataset hw1_hrs2008sample:
Variable |
Description |
Mstat |
Marrital status of respondent. It has four categories: 1.married; 2.separated or divorced; 3.widowed; 4.never married. |
Race |
Race, Ethnicity: 1.white/Caucasian; 2.black/African American; 3.other. |
Gender |
1.male; 2.female. |
Edyrs |
Years of education |
Educ |
Education categories: 1.less than high-school; 2.GED; 3.high-school graduate; 4.some college; 5.college and above. |
Age |
Age of respondent |
Shlt |
Self-reported health status: 1.excellent; 2.very good; 3.good; 4.fari; 5.poor. |
Bmi |
Body Mass Index |
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