Frequency Distributions and Ways to Appropriately Display Data Discussion

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Humanities

Description

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.

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Explanation & Answer

Attached.

Running Head: DISCUSSION: DISPLAYING DATA

General Social Survey
Institutional affiliation
Date

DISCUSSION: DISPLAYING DATA

The variables identified from the dataset were as follows:
Variable selected
Adults
Age
Childs
Hours/relax
Income06

Meaning
18 years and above
Respondent age
No. of children
Hours in a day, R have to relax
Total income for the family

Categorical/ quantitative
quantitative
quantitative
quantitative
quantitative
quantitative

Adults
In this case, bar charts are used with the fact that the number of children is a discrete variable,
which would be represented by a bar chart.
House hold members 18 years and above

DISCUSSION: DISPLAYING DATA

In the given bar graph the highest number of household respondents is 2...


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