wk9assgn_greenwood_k

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Walden University *

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4003

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Statistics

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May 4, 2024

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docx

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Correlation Statistics Worksheet Objectives  Run descriptive statistics SPSS System  Make sure you have gained access to SPSS. See the online classroom for instructions.  Download the data set from the Learning Resources.  Open the data set file named “Chapter 5 Data Set 1.” Pearson Correlation Statistics Follow the instructions from the Statistics for People Who (Think They) Hate Statistics textbook, Chapter 5, “Ice Cream and Crime: Computing Correlation Coefficients,” in the section, “Using SPSS to Compute a Correlation Coefficient.” Worksheet Assignment Run a correlation coefficient following the instructions in the textbook. The output of the test will provide you with the correlation coefficient. First check significance, and then check the number provided for Pearson Correlation. Write the results in APA format following the example below. APA Write-Up Example Pearson Correlations were conducted to see the relationship among different types of intimate partner violence (IPV) victimization. All correlations were statistically significant, revealing strong positive relationships between three different types of IPV. The strongest relationships were between psychological IPV victimization and physical IPV victimization (r = .551) and sexual IPV victimization (r = .495). Sexual IPV victimization was also significantly associated with physical IPV victimization (r = .492). The results indicate that when victims experience one type of IPV, they experience other types of IPV at the same time.

Type your APA write-up here. Pearson Correlations were conducted to see the relationship between income and education. The correlation coefficient showed to be equal to .574. The sample size of 20 and a measure of the statistical significance of the correlation coefficient were also shown. The output shows the two variables are related each to the other. As the amount of income increases, the level of education also increases. Likewise, as income decreases, the education level also decreases. A significance in the correlation shows that this relationship is not due to chance. The coefficient of determination is .5742 or .329 or .33, translated to 33% of the variance in one variable is accounted for by the other. This represents the meaningfulness of the relationship.

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