Description
To prepare for this Assignment:
- Review the Week 5 Scenarios found in this week’s Learning Resources and select two of the four scenarios for this Assignment.
- For additional support, review the Skill Builder: Evaluating P Values and the Skill Builder: Statistical Power, 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.
For this Assignment:
Critically evaluate the two scenarios you selected based upon the following points:
- Critically evaluate the sample size.
- Critically evaluate the statements for meaningfulness.
- Critically evaluate the statements for statistical significance.
- Based on your evaluation, provide an explanation of the implications for social change.
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To prepare for this Assignment:
Review the Week 5 Scenarios found in this week’s Learning Resources and select two
of the four scenarios for this Assignment.
For additional support, review the Skill Builder: Evaluating P Values and the Skill
Builder: Statistical Power, 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.
For this Assignment:
Critically evaluate the two scenarios you selected based upon the following points:
Critically evaluate the sample size.
Critically evaluate the statements for meaningfulness.
Critically evaluate the statements for statistical significance.
Based on your evaluation, provide an explanation of the implications for social change.
Use proper APA format and citations, and referencing.
3. Statistical significance is found in a study, but the effect in reality is very small (i.e., there was a very
minor difference in attitude between men and women). Were the results meaningful? An independent
samples t test was conducted to determine whether differences exist between men and women on
cultural competency scores. The samples consisted of 663 women and 650 men taken from a
convenience sample of public, private, and non-profit organizations. Each participant was administered
an instrument that measured his or her current levels of cultural competency score ranges from 0 to 10,
with higher scores indicating higher levels of cultural competency. The descriptive statistics indicate
women have higher levels of cultural competency (M = 9.2, SD = 3.2) than men (M = 8.9, SD = 2.1). The
results were significant t (1311) = 2.0, p < .01, showing that as level of income increases, job satisfaction
increases as well.
4. A study has results that seem fine, but there is no clear association to social change. What is missing?
A correlation test was conducted to determine whether a relationship exists between level of income
and job satisfaction. The sample consisted of 432 employees equally represented across public, private,
and non-profit sectors. The results of the test demonstrate a strong positive correlation between the
two variables, r =.87, p < .01, showing that as level of income increases, job satisfaction increases as
well.
Purchase answer to see full
attachment
•
•
•
•
•
To prepare for this Assignment:
Review the Week 5 Scenarios found in this week’s Learning Resources and select two
of the four scenarios for this Assignment.
For additional support, review the Skill Builder: Evaluating P Values and the Skill
Builder: Statistical Power, 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.
For this Assignment:
Critically evaluate the two scenarios you selected based upon the following points:
Critically evaluate the sample size.
Critically evaluate the statements for meaningfulness.
Critically evaluate the statements for statistical significance.
Based on your evaluation, provide an explanation of the implications for social change.
Use proper APA format and citations, and referencing.
3. Statistical significance is found in a study, but the effect in reality is very small (i.e., there was a very
minor difference in attitude between men and women). Were the results meaningful? An independent
samples t test was conducted to determine whether differences exist between men and women on
cultural competency scores. The samples consisted of 663 women and 650 men taken from a
convenience sample of public, private, and non-profit organizations. Each participant was administered
an instrument that measured his or her current levels of cultural competency score ranges from 0 to 10,
with higher scores indicating higher levels of cultural competency. The descriptive statistics indicate
women have higher levels of cultural competency (M = 9.2, SD = 3.2) than men (M = 8.9, SD = 2.1). The
results were significant t (1311) = 2.0, p < .01, showing that as level of income increases, job satisfaction
increases as well.
4. A study has results that seem fine, but there is no clear association to social change. What is missing?
A correlation test was conducted to determine whether a relationship exists between level of income
and job satisfaction. The sample consisted of 432 employees equally represented across public, private,
and non-profit sectors. The results of the test demonstrate a strong positive correlation between the
two variables, r =.87, p < .01, showing that as level of income increases, job satisfaction increases as
well.
Purchase answer to see full
attachment
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