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  5. Module 2 - Univariate and Bivariate Analysis
  6. Correlation Analyses and Application of the Empirical Rule

BA/EC 311- Quantitative Analysis ONLINE - Fall 2020

Correlation Analyses and Application of the Empirical Rule

Completion requirements
Opened: Tuesday, 28 January 2014, 12:00 AM
Due: Tuesday, 22 September 2020, 12:00 PM

Before attempting to work this problem, you should read the PDF file below to review how to interpret a SPSS correlation matrix. 

Using the Alabama Demographics data file provided below, perform a correlation analysis of the following variables:

Average Family Size (avgfmsiz)

Median Age (medage)

Median Income (medinc)

Number of Children Living in Poverty (chldpvt)

Number of People with Less than a 9th Grade Education (less9)

For each pair of variables that is statistically significant describe the size and direction of the correlation. Using your intuition, do the correlations seem to make sense?

Perform a univariate analysis for each of the variables listed above and test for normality. Round each mean and standard deviation to the nearest whole number, except for the standard deviation for average family size, which you should let equal 0.10.

1. How many children in poverty is the 84th percentile?

2. What percentage of all average family sizes is between 2.90 and 3.20?

3. What percentage of all average family sizes is less than 2.7?

4. What median income is the 16th percentile?

5. What percentage of median income lies between 35,827 and 47,327?

6. How many people with less than a 9th grade education represent the 50th percentile?

7. Percentage of counties has a median age greater than 40?

8. What range of median age accounts for 95% of all observations?

Submit as a word document. The file should contain your last name and the assignment name. Be sure to also include a copy of your correlation matrix and univariate analysis. 



◄ Standard Deviation Homework
Interpretation of SPSS Correlation Output ►

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