Problem
Plan for analyzing quantitative data in regards to nursing shortage in the U.S.
1) Include definitions of all variables
2) Identify the null hypothesis and research hypothesis for nursing shortage
3) Include the type of analysis to be conducted (correlation, t-test, confidence interval, regression, ANOVA, ANCOVA, etc.)
4) Explain why this type of analysis is most appropriate for the research
5) Identify the significance level (typically set to .05, but may be set to .01 or .10)
6) Explain what results are being looked for in the quantitative study (how to know if the null and research hypothesis are accepted or rejected)