Continuous Variable: AGE

Descriptive Statistics:

Mean: 49.5 years

Median: 48 years

Mode: 52 years

Standard Deviation: 17.3 years

Which is the better of Central tendency?

According to Wagner(2020), the median is often a better measure for central tendency when data are skewed or contains outliners, as it is less influenced by extreme values than the mean.

How variable are the data?

A standard deviation of 17.3 years indicates considerable variability in respondents' age, suggesting a wide range of age groups represented in the sampler(Wagner, 2020).

How would you describe this data? The age data are broadly distributed, with most respondents being middle aged but with representation from young adults to seniors. The distribution may be slightly right skewed due to older respondents.

Research question for social change:

"How does age relate to attitudes toward social policies such as healthcare or education funding?"

Understanding age distribution can help policymakers tailor programs to different age groups and address generational differences in policy preferences (Smith et al.,2022).

Categorial Variable: Degree (Highest degree earned)

Degree Frequency

Less than HS 150

High School 350

Junior College 80

Bachelor 220

Graduate 100

Appropriate Measures of Variation:

The variation ratio, which measures the proportion of cases not in the modal category, is an appropriate measure of dispersion for categorical variables

(Wagner, 2020). For example, if "High

School" is the model category

(350/900~0.39), the variation ratio is

1-0.39=0.61.

How variable are the data?

There is substantial variation, with

respondents spread across all

educational categories, through "High

School" is the most common

How would you describe this data? The example includes a diverse range of educational backgrounds, with a

plurality having completed high school,

but significant numbers have higher or

lower levels of education.

Research question for social change:

"Does educational attachment influence supportive for government

welfare programs?" This variable could

help explore whether education levels affects attitudes toward social safety nets, informing efforts to increase public understanding and support for such programs (Smith et al., 2022).

This is a colleague post above.

Hello Tutors,

Respond to at least one colleagues' post with a comment on the presentation and interpretation of their analysis. In your response, address the following questions:

1. Was the presentation of results clear? If so, provide some specific comments on why. If not, provide constructive suggestions.
2. Are you able to understand how the results might relate back to positive social change? Do you think there are other aspects of positive social change related to the results?

Thanks Tutors.