8210 dis. 2 wk2

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For this Discussion, you will explore ways to appropriately display data.
To prepare for this Discussion:
Review the Learning Resources for this week related to frequency distributions and graphic displays of data.
Using the SPSS software, open the General Social Survey dataset found in this week’s Learning Resources.
Next, create a figure or table from a few selected variables within the dataset.
Finally, think about what is good about how the data are displayed in the figure or table you created and what is not so good.

EDD8210

WEEK 2 Discussion: Displaying Data

Visual displays of data provide you and anyone else with a graphical display of what is often a complex array of quantitative data. A key strength of visualization is the ability to quickly enlighten you with key data. Rather than solely relying on your audience to interpret numerical values and statistics explained in a narrative, a visual display can easily illustrate descriptions, relationships, and trends. Although the focus is on simplicity, the researcher has an obligation to present these graphical displays in a clear and meaningful way.

For this Discussion, you will explore ways to appropriately display data.

To prepare for this Discussion:

· Review the Learning Resources for this week related to frequency distributions and graphic displays of data.

· Using the SPSS software, open the General Social Survey dataset found in this week’s Learning Resources.

· Next, create a figure or table from a few selected variables within the dataset.

· Finally, think about what is good about how the data are displayed in the figure or table you created and what is not so good.

ASSIGNMENT TASK PART 1

Post your display of the table or figure you created and provide an explanation of why this would be the best way to display the data provided, include the General Social Survey Dataset’s mean of Age to verify the dataset you used.


Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.

ASSIGNMENT TASK PART 2

Respond to at least one of your colleagues’ post in 125 words and determine whether you are able to understand the “whole picture” of the data or understand the data in its entirety. What might you add to their display and why? What might you change to their display and why?

EDD8210

WEEK 2 Discussion: Displaying Data

ASSIGNMENT TASK PART 2

Respond to at least one of your colleagues’ post in 125 words and determine whether you are able to understand the “whole picture” of the data or understand the data in its entirety. What might you add to their display and why? What might you change to their display and why?

2 days ago

Kehinde Obadina 

Create a figure from a few selected variables within the dataset.

                                                Respondents’(RS) Sex 

The categorical variable is the respondent’s gender which is referred to as respondents’ sex on the data set. It is a nominal variable that has two groups that cannot be ranked; male and female. Graphic representation of data helps convey a story that provides details about the variable ((Frankfort-Nachmias, 2020). The respondent’s sex is identified with an icon of three balloons. The pie chart displays variables with less than four levels and is used to show the percentages of the respondents. Here, the female group is larger (55.04%) than the male group (44.96%). This may not be the best way to display data because the focus of the chart is limited to displaying data as a proportion of the whole. No other information is provided on the char

                                               RS Highest Degree

This categorical variable is the respondent’s highest degree and it is a nominal variable that has five groups or levels. A bar chart is most appropriate to display information that has more than four levels (Walden University, 2016j). The bar chart below shows that high school students represent the respondents with the highest degree (% = 50.0) and junior college students with the lowest percentage (% = 7.33%).

                                                  Number of hours worked

The number of hours usually worked in a week is a continuous ratio variable with an absolute zero point. The researcher, at the ratio level, collects data at the highest level possible with extensive information. SPSS refers to ratio and Interval measures as scale (Wagner, 2020). A histogram is applicable to display the data with bars as well as a nominal curve that provides more information on the data set. The mean, the standard deviation, and the sample size are additional information on the Histogram. It is good that the histogram provides more insight into the data that can be used to compare and contrast with other variables in the dataset.

The mean is 38.7

The Standard Deviation = 12.416, where

N= Number of respondents = 40

Frequency is the number of times a data value occurs

The data shows that the average number of hours worked in a week is 38.7hours. The normal curve shows that the variable is not proportionally positioned on both sides and provides information that may impact staffing across different industries.

                                                     Positive Social Change

The information about the percentage of males or females in the General Social Survey (GSS), the number of hours worked in a week, and the highest degree earned is valuable information to stakeholders in the Labor Department, Department of Education, CDC, and other large governmental organizations. This information benefits employers in the local labor force in several organizations like the public schools’ system, manufacturing industries, food and health sectors of individual states.

                       References

Walden University, LLC. (Producer). (2016j). Visual displays of data [Video]. Baltimore, MD.

Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and 

          social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.

Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a 

         diverse society (9th ed., pp. 27-74). Sage

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