week 4 Assignment

Instructions

Assignment: Introduction to Quantitative Analysis: Confidence IntervalsIn your Week 2 Assignment, you displayed data based on a categorical variable and continuous variable from a specific dataset. In Week 3, you used the same variables as in Week 2 to perform a descriptive analysis of the data. 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.By Day 7Submit your Introduction to Quantitative Analysis: Confidence Intervals Assignment.

Answer

Week 4 AssignmentThe statistical element of confidence interval is a measure used in estimation of intervals of the data observed. CI is applied in analysis of population parameters associated with the quantification of the level of confidence (Wagner, 2016). In the data displayed in Week 2 Assignment, the specific variables used in the calculation of CI by the use of SPSS. In this case, the values established the frequency or the proportion of the real values in the unknown parameter. Essentially, the confidence interval is constructed by the use of the independent variables. The confidence interval calculated in Week 2 Assignment demonstrates that the observed data comprised of random samples. As such, the 95% confidence level was utilized for the data set since it is more applicable tha...
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