Study of Low Income Women - must use Stat Crunch

The data in the dataset comes from a longitudinal study of low-income women in four urban communities. In the original study, extensive information was collected in 1999 (Wave 1) and 2001 (Wave 2) from about 4,000 women. A major purpose of the study was to understand the life trajectories of these women and their children during a period of major changes to social policies affecting poor people in the United States. The sample was randomly selected from women who, in 1995, were single mothers receiving cash welfare assistance in the four cities. All data were collected by means of 90-minute in-person interviews in either English or Spanish in the study participants’ homes. Professional interviewers from a survey research firm, specially trained for this study, collected the data.

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The participants provided information which include their age at the time of interview, age at first birth, Race/ethnicity, educational attainment, current marital status, number of children living in home over the past month, poverty status, number of emergency room visits in the past 12 months, number of doctor visits in the past 12 months, if they are a smoker, height, weight, body mass index, number of live births, number of miscarriages, total number of pregnancies, how often they got drunk over the past month, how often they smoked marijuana, crack, their level of depression, and whether they drink, use pot, or crack at all.

A measurement of their physical and mental health status was also included in the survey, The women’s physical and mental health status was measured using the Short Form 12 Health Survey, commonly referred to as the SF-12. The SF-12 is a 12-item scale providing a generic, multidimensional measure of health status, and has been used in numerous nursing and healthcare studies. Six of the 12 items measure physical health, and the remaining items measure mental health. Use the dataset attached Independent Project.xls andStatCrunch toprovide the following for the variable(s) of your choice:

1. Frequency distribution of a variable and bar graph of the same variable


2. Descriptives of a continuous variable: mean, median, skewness, kurtosis, standard deviation and graph of that variable


3. Cross tabulation of two variables with Chi Square


4. Comparison of the effect of three or more groups (single variable) on a single continuous variable


5. Scatterplot of two continuous variables


6. Correlation between the two continuous variables from #5 above with regression

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