Posted: January 31st, 2022
Assignment help – Discussion On Descriptive Statistics
Assignment help – Discussion Forum:
What descriptive statistics, if any, did the author(s) make available to the reader? If the author(s) did not make any descriptive statistics on their data available to the reader, what descriptive statistics might you have suggested that they present to their readers?
Do you think the descriptive statistics presented by the author(s) provide sufficient information about the central tendencies, dispersion, and shape of their data for you to have confidence in the appropriateness of the data for the research approach and results obtained? Why or why not?
The answers should be based on the papers,
Mack, J. G. (2021). Fraud as a Byproduct of Disaster: Relief Aid Fraud and the COVID-19 Pandemic (Doctoral dissertation, Utica College).
Fuller, David L., B. Ravikumar, and Yuzhe Zhang. 2015. “Unemployment Insurance Fraud and Optimal Monitoring.” American Economic Journal: Macroeconomics, 7 (2): 249-90.
—-
Assignment help – Discussion Forum: Did the author(s) make any descriptive statistics available to the reader? What descriptive statistics might you have proposed that the author(s) offer to their readers if they did not make any descriptive statistics on their data available to the reader?
Do you believe the descriptive statistics supplied by the author(s) provide enough information on the central tendencies, dispersion, and shape of their data for you to be confident in the data’s suitability for the research approach and results obtained? If so, why or why not?
Answers must be based on the papers.
J. G. Mack (2021). Disaster Fraud as a Byproduct: Relief Aid Fraud and the COVID-19 Pandemic (Doctoral dissertation, Utica College).
David L. Fuller, B. Ravikumar, and Yuzhe
Order | Check Discount
Sample Homework Assignments & Research Topics
Tags:
150-200 words discussion with a scholarly reference,
200-300 words response to classmate discussion question,
250 word analysis essay,
bachelor of nursing assignments,
case study