report and interpret the variable pairs with the least and greatest correlation

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

• Research Question, Hypotheses, Continuous and Categorical Variables

• Frame and state null and alternative hypotheses

• Identify continuous and categorical variables

• Analyzing Assumptions of Correlation

• The textbook discusses the assumptions of correlation in section 8.4

• I leave it you to review interval (continuous DVs) and outliers

• In this instance, the Scoring Guide specifically calls out the Shapiro-Wilk test for normality so you have to use it to assess the distributions of the variables you’re using assess for normality

 • Shapiro-Wilk continued, see the Course Study Guide for Assessment 03 and the step by step for how to produce the Shapiro-Wilk.

• Komogorov-Smirnov (K-S) test for normality as well as the Schapiro-Wilk.

• Report the Shapiro-Wilk with the same formatting as the K-S test, just replace the D with a W(df)=value, p=value.

• For the example in the text Hygiene Day 1 the result would be W(810)=.996, p=.032.

• Report the Shapiro-Wilk results for each variable’s distribution and state whether the assumption of normality has been met

• Interpret p values for statistical significance

• Report the Pearson Correlation using APA format. This is also discussed in the text in section 8.4.2

•  Report and interpret the variable pairs with the least and greatest correlation.

•  Report your Pearson Correlation results in APA format, for example r(103)=.63, p<.05 is an example of a moderately positive, significant correlation.

•  Here is where you would interpret your correlation for the least and greatest pairs

Determine if the correlation is significant per the p value (or confidence interval).  State your conclusion to reject or accept the null hypothesis.  If the result is significant, then describe the correlation in terms of it’s magnitude and direction

Attachments:

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