# Dataset HS Longitudinal Study

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Question description

In 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.
• Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications.
• Chapter 5, “The Normal Distribution” (pp. 128-150)
• Chapter 6, “Sampling and Sampling Distributions” (pp. 151-178)
• Chapter 7, “Estimation” (pp. 179-201)
Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.
• Chapter 3, “Selecting and Sampling Cases”
• Chapter 5, “Charts and Graphs”
• Chapter 11, “Editing Output”

mickeygabz
School: University of Maryland

See attached

Dataset HS Longitudinal Study

Confidence Interval
For this paper my variable of interest is:

X1MTHUTI - Scale of student’s Math utility

X1MTHUTI

This variable is a continuous quantitative variable. Based on the variable, we were able to obtain
the 90% and 95% confidence intervals.

One-Sample Statistics
N
T1 Scale of student's
mathematics utility

18802

Mean

Std. Deviation

-.0169

Std. Error Mean

.99713

.00727

Table 1: Descriptive statistics for the scale of mathematics utility

Figure 1: Box plot of the scale of mathematics utility

One-Sample Test
Test Value = 0
90% ...

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Anonymous
Goes above and beyond expectations !

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