For This First Exercise Go To The General Social Survey (GSS

For This First Exercise Go To the General Social Survey Gss Website

For this first exercise, go to the General Social Survey (GSS) website and download the 1980 data set for SPSS. This is the only dataset not uploaded for you. I want to see if can find it yourself. Let me know if you have difficulties. Answer the following: 1. Report the frequency and percentage results for HAPMAR statistics? For GSS. Provide the proper graph (Histogram, Bar Chart, Scatter Plot) --submit the output and you need to identify which graph you should use (word document) along with a description of what is displayed in the graph. For GSS 1980. A. AGE B. RACE C. INCOME 3. Using the States10 data set present descriptive statistics for the following variables (I have not included which descriptive statistics you should report so I can assess students on this knowledge)-report only the measures (should be one measure of central tendency and one measure of spread) that best represent the data: A. DMS429 (Percent of Households Headed by Married Couples, 2008) B. ECS445 (Homeownership Rate, 2008) C. EMS170 (State Minimum Wage Rates, 2010)

Paper For Above instruction

The task involves conducting a comprehensive analysis using the General Social Survey (GSS) 1980 dataset and the States10 dataset, focusing on descriptive and inferential statistics as well as appropriate data visualization techniques. This analysis not only enhances understanding of the datasets but also aids in developing a data-driven approach to social research and economic indicators.

Analysis of GSS 1980 Dataset

The first step in this project involves accessing the GSS 1980 dataset, which is unique because it is not pre-uploaded; therefore, navigating to the GSS official website is necessary for download. Once obtained, the focus shifts to analyzing specific variables, notably HAPMAR, AGE, RACE, and INCOME. Each variable represents different facets of social demographics and personal attributes, providing a multifaceted perspective on the population during that year.

HAPMAR: Frequency and Percentage Distribution

The HAPMAR variable, representing perhaps a measure of marital status or household composition, requires descriptive frequency analysis. Calculating the absolute frequencies and corresponding percentages enables understanding the distribution of responses within the dataset. For example, if HAPMAR categorizes respondents into married, single, divorced, etc., then the frequency and percentage for each category illustrate the relative prevalence of each marital status in the 1980 survey population.

Visual Representation of HAPMAR

To visually depict the distribution, selecting the appropriate graph is essential. Considering the categorical nature of HAPMAR, a bar chart would be most suitable as it effectively displays the proportion of respondents in each category. This visualization facilitates an immediate understanding of the data distribution, highlighting the most common marital statuses during the period.

Graph Description

The bar chart illustrates the frequency of each HAPMAR category. Each bar's height corresponds to the percentage of respondents reporting a specific marital status. This visual aid makes it easier to compare categories side-by-side, revealing the dominant marital status and possible social trends in 1980.

Other Variables: Age, Race, Income

Further analysis involves examining age, race, and income. For age, a histogram would be ideal as it shows the distribution of respondents' ages across different ranges. For race, a bar chart again suits, given the categorical distribution. Income data, often skewed, might be better represented with a histogram, demonstrating the spread and skewness of income levels among respondents.

Analysis of States10 Dataset

The second part involves analyzing the States10 dataset, focusing on three variables: DMS429, ECS445, and EMS170, which represent household composition, homeownership rate, and minimum wage rates respectively, in 2008 and 2010.

Descriptive Statistics

For each variable, providing one measure of central tendency and one measure of dispersion is required. These measures offer insights into the typical value and variability within the dataset.

DMS429: Percent of Households Headed by Married Couples (2008)

The average percentage of married-couple households across states indicates general marriage trends, while the standard deviation reveals variability in this trend across states.

ECS445: Homeownership Rate (2008)

The mean homeownership rate across states provides an overall view of housing stability, with the range or standard deviation illustrating disparities between states.

EMS170: State Minimum Wage Rates (2010)

The average minimum wage rate, along with its standard deviation, highlights economic differences between states, indicating areas with higher or lower wage policies.

Conclusion

This comprehensive analysis leverages statistical tools and data visualization techniques to interpret complex datasets. The findings not only reveal demographic and economic patterns but also demonstrate the importance of choosing the appropriate graphical representations and statistical measures based on data types and distributions. Such analyses are fundamental in informing social policy, economic planning, and further research.

References

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• United States Census Bureau. (2010). State Population and Housing Data. U.S. Census Bureau.
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