Description
Assignment: Introduction to Quantitative Analysis: Confidence Intervals
For this Assignment, you will calculate a confidence interval in SPSS for one of the variables from your Week 2 and Week 3 Assignments.
To prepare for this Assignment:
- Review the Learning Resources related to probability, sampling distributions, and confidence intervals.
- For additional support, review the Skill Builder: Confidence Intervals and the Skill Builder: Sampling Distributions, 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.
- Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you chose) from Week 2.
- Choose an appropriate variable from Weeks 2 and 3 and calculate a confidence interval in SPSS.
- Once you perform your confidence interval, review Chapter 5 and 11 of the Wagner text to understand how to copy and paste your output into your Word document.
For this Assignment:
Write a 2- to 3-paragraph analysis of your results and include a copy and paste of the appropriate visual display of the data into your document.
Based on the results of your data in this confidence interval Assignment, provide a brief explanation of what the implications for social change might be.
Explanation & Answer
Attached.
Running head: CONFIDENCE INTERVAL
Confidence Interval
Student’s Name
Institutional Affiliation
1
CONFIDENCE INTERVAL
2
Confidence Interval
In statistic, the confidence interval is an important aspect of quantitative analysis that
provides a range where a true mean from a population lies (Gravetter, & Wallnau, 2016). Often,
analysts use confidence interval as a measure of uncertainty, with a higher probability associated
with the confidence interval signifying a higher degree of certainty that the parameter in the
study lies within the range. In most cases, based on the certa...
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