# In this weeksAssignment, you will differentiate between the proper use of summary statistics for categorical and continuous level data. In this exercise, you will explore what output For this Introduc

In this weeksAssignment, you will differentiate between the proper use of summary statistics for categorical and continuous level data. In this exercise, you will explore what output

For this Introduction to Quantitative Analysis: Descriptive Analysis Assignment, you will examine the same two variables you used from your Week 2 Assignment and perform the appropriate descriptive analysis of the data given.

To prepare for this Assignment:

• Review this week’s Learning Resources and the Central Tendency and Variability media program.
• For additional support, review the

Skill Builder: Measures of Central Tendency for Continuous Variables

,

Skill Builder: Standard Deviation as a Measure of Variability for Continuous Variables

and the

Skill Builder: Measures of Central Tendency and Variability for Categorical Variables

, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.
• Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset from your Assignment in Week 2.
• Choose the same two variables you chose from your Week 2 Assignment and perform the appropriate descriptive analysis of the data.
• Once you perform your descriptive analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.

Write a 2- to 3-paragraph analysis of your descriptive analysis results and include a copy and paste your output from your analysis into your final document.

Based on the results of your data, provide a brief explanation of what the implications for social change might be.Early in your Assignment, when you relate which dataset you analyzed, please include the mean of the following variables. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1Par1Edu.

Use appropriate APA format, citations and referencing. Refer to the APA manual for appropriate citation.

In this weeksAssignment, you will differentiate between the proper use of summary statistics for categorical and continuous level data. In this exercise, you will explore what output For this Introduc
Learning Resources Week 2 Frankfort-Nachmias, C., & Leon-Guerrero, A. (2020). Social statistics for a diverse society (9th ed.). Sage Publications. Chapter 2, “The Organization and Graphic Presentation Data” (pp. 27-74) Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications. Chapter 5, “Charts and Graphs” Chapter 11, “Editing Output” Walden University Writing Center. (n.d.). General guidance on data displays. Retrieved from http://waldenwritingcenter.blogspot.com/2013/02/general-guidance-on-data-displays.html Use this website to guide you as you provide appropriate APA formatting and citations for data displays. Laureate Education (Producer). (2016j). Visual displays of data [Video file]. Baltimore, MD: Author.  Note: The approximate length of this media piece is 9 minutes. In this media program, Dr. Matt Jones discusses frequency distributions. Focus on how his explanation might support your analysis in this week’s Assignment. (video attached separately)
In this weeksAssignment, you will differentiate between the proper use of summary statistics for categorical and continuous level data. In this exercise, you will explore what output For this Introduc
Running Head: VISUAL DISPLAY OF DATA 0 Visual display of data Data visualization is of great help in data analysis since it gives the readers a quick understanding of what is explained in data analysis. This can be helpful since a picture sticks in the brain more compared to numbers. In this study, we will use variables from Afrobarometer Dataset in order to check the appropriate display for various variable levels. Descriptive analysis for age (Q1) is as shown in table 1 below. Table 1: Descriptive analysis for age Descriptive Statistics Mean Std. Deviation Q1. Age 10232 37.39 14.86 Valid N (listwise) 10232 According to the table, the mean for ages of respondents reported was 37.39 which is approximately 37 years for the total 10,232 respondents. Age (Q1) and Q3b. Your present living conditions, were examined and visually analyzed accordingly. Age (Q1) is a continuous variable while your present living conditions (Q3b) is categorical with 5 levels 1) Very Bad, 2) Fairly bad, 3) Neither good nor bad, 4) Fairly good and 5) Very good. Figure 1 & 2 shows the histogram for age and living conditions respectively (Wagner III W., 2020). Figure 1: Histogram for age Figure 2: Histogram for living conditions Looking at the histogram for age, most people who responded are between 20 and 40 years old. A few are under 20 years as seen in the histogram. The graph is skewed to the right. The histogram for living conditions displays the data for the 5 categories where 2) “Fairly bad” was the highest and 5) “Very good” was the lowest. Social Implication According to the analysis, most respondents reported their living conditions as fairly bad which means people living in the specified area are experiencing difficulties and needs an intervention to ensure the living standards are raised where possible. On the same, people who reported their standards as “very good” are very few. Reference Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.