Find a peer-reviewed, data-based article on EBSCO or Pro Quest related to the electric vehicle industry that has quantitative statistical research.
• Summarize the article very briefly (no more than 1page)
• Discuss the raw data presentation and discuss the descriptive statistics used to present the data be sure to include both averages and distributions.
1. Were these appropriate averaging techniques and examinations of the distribution?
2.Could other types of averages or distributions have been used
• Discuss the scales of measurement and the methodologies used
1.Were these appropriate scales and methodologies?
2.Could other types of scaling have been used?
• For the visual presentations of raw data or averages, are there biases in the presentation.
1.What conclusions do you draw simply by looking at the visual
data presentation?
2.How could the presentation be altered to adjust those
conclusions?
• How were individual data reported (if at all)?
1. What are the differences between individual results and
the mean results?
2. If not reported, do you have any concerns about what
information might have been lost
• What inferential statistical tests were
used?
1. Briefly summarize each.
2. Why were those tests appropriate?
3. Could other tests have been used?
• Use at least 8 references from EBSCO or Pro Quest
Useful material:
Proches, S. (2016). Descriptive statistics in research and teaching: Are we losing the middle ground? Quality and Quantity, 50(5), 2165-2174.
Hunter-Thomson, K. (2019). Data literacy 101: What do we really mean by “data?” Science Scope, 43(2), 84–88.
Dodge, L. G. (2017). The Road to Mediocrity: The 3 Ms in Laurie’s Introduction to Statistical Methods. London: Routledge.
Murphy, T., & SAS Institute. (2018). General Considerations for designing Infographics in Infographics Powered by SAS : Data Visualization Techniques for Business Reporting / C Travis Murphy. Cary, NC: SAS Institute.
Grybauskas, A. & Pilinkiene, V. (2018). Real Estate Market Stability: Evaluation of the Metropolitan Areas by Using Factor Analysis and Z-Scores. Engineering Economics, 29(2), 158–167.
Montañez-Juan, M. I., García-Buades, M. E., Sora-Miana, B., Ortiz-Bonnín, S., & Caballer-Hernández, A. (2019). Work design and job satisfaction: The moderating role of organizational justice. Revista Psicologia Organizações e Trabalho, 19(4), 853–858.
Clippinger, D. (2017). Descriptive and Inferential Statistics in Business Research Reporting. Business Expert Press.
Diong, J., Butler, A. A., Gandevia, S. C., & Héroux, M. E. (2018). Poor statistical reporting, inadequate data presentation and spin persist despite editorial advice. PLoS ONE, 13(8), 1–10.
