University of Phoenix Bivariate Statistical Analysis
Description
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These are the steps:
STEP 1: Look at the bivariate (2 variable) table below. This comes from the Social Science Data Analysis Network (SSDAN) and is comprised of data from the American Community Survey (ACS), an annual Census-like survey that can be found at http://www.ssdan.net/datacounts/webchip.
| Income | Less Than High School | High School Grads | Some College | College Grads | Total |
| < 25K | 49.6% | 33.1% | 24.1% | 10.1% | 23.2% |
| 25-34K | 21.6% | 21.3% | 18.6% | 8.2% | 15.7% |
| 35-49K | 15.8% | 21.4% | 22.3% | 16.5% | 19.4% |
| 50-69K | 8.1% | 14.3% | 18.2% | 20.4% | 17.2% |
| 70-99K | 3.2% | 6.7% | 10.8% | 19.4% | 12.3% |
| 100K+ | 1.7% | 3.2% | 6% | 25.4% | 12% |
| Total | 100% | 100% | 100% | 100% | 100% |
STEP 2: Identify the independent variable and the dependent variable that could be tested based on this graph.
STEP 3: Summarize the bivariate table by making at least 3 TRUE statements about the variables using the data (the percentages) provided.
STEP 4: Use your sociological imagination to analyze the data. This should be a minimum of 2-3 sentences.
STEP 5: What policy recommendations would you make based on the data? This should be a minimum of 2-3 sentences.
