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1 pages/≈275 words
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4
Style:
APA
Subject:
Accounting, Finance, SPSS
Type:
Essay
Language:
English (U.S.)
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MS Word
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Total cost:
$ 5.66
Topic:
Week 3 Discussion
Essay Instructions:
For this Discussion, you will examine central tendency and variability based on two separate variables. You will also explore the implications for positive social change based on the results of the data.
To prepare for this Discussion:
Review this week’s Learning Resources and the Descriptive Statistics media program.
Review the Chapter 4 of the Wagner text and the examples in the SPSS software related to central tendency and variability.
From the General Social Survey dataset found in this week’s Learning Resources, use the SPSS software and choose one continuous and one categorical variable Note: this dataset will be different from your Assignment dataset).
As you review, consider the implications for positive social change based on the results of your data.
Post, present, and report a descriptive analysis for your variables, specifically noting the following:
For your continuous variable:
Report the mean, median, and mode.
What might be the better measure for central tendency? (i.e., mean, median, or mode) and why?
Report the standard deviation.
How variable are the data?
How would you describe this data?
What sort of research question would this variable help answer that might inform social change?
Post the following information for your categorical variable:
A frequency distribution.
An appropriate measure of variation.
How variable are the data?
How would you describe this data?
What sort of research question would this variable help answer that might inform social change?
Essay Sample Content Preview:
Week 3 Discussion
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Week 3 Discussion
In the 2014 General Social Survey data set file, I selected “EMAIL HOURS PER WEEK” as the continuous variable. Based on the statistical results, the mean is 6.27 hours per week, while the median is 2.00. Since the median (2.00) is much lower than the mean (6.27), this means that the data is positively skewed. Regarding mode, Wagner (2019) suggests that it indicates the most frequently reported value. Based on the statistical analysis, the mode is zero (0). This value signifies that many participants did not spend any time on email. The median is the most suitable measure of central tendency because of the data's skewness (Australian Bureau of Statistics, n.d.). The standard deviation is 11.335, which normally is the square root of variance. The variability of the data is the number of email hours, which can take on values from 0 to 150 hours. The data can be described as continuous with variability having an interval-ratio level of measurement. Researchers can answer questions such as, “Does spending more hours on email negatively affect work-life balance?”
Table 1
Statistics
EMAIL HOURS PER WEEK
N
Valid
1471
Missing
...
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