Statistics Research Project Instructions For Math 201 Bus 23

Statistics Research Project Instructionsmath 201bus 230on April 4 20

Investigate two claims from an article about the “average” online learner by using your class as a sample. Data collection, descriptive statistics, confidence intervals, hypothesis testing, and final reporting are required, with points assigned to each part. Confidentiality must be maintained, and no data should be published outside the classroom.

Paper For Above instruction

This research project aims to examine two specific claims about online learners presented in an article by Jordan Friedman published in US News and World Report. Utilizing a class-based sample, students will undertake a comprehensive statistical analysis involving data collection, descriptive statistics, confidence intervals, hypothesis testing, and a concluding report. The overarching goal is to develop a deeper understanding of statistical methodologies through practical application, ensuring adherence to ethical research standards by maintaining participant confidentiality.

The project is divided into five parts, spanning several weeks. In the initial phase, students will gather demographic data, specifically age and gender, and understand fundamental statistical terms such as population, sample, parameters, and statistics. This initial data collection sets the foundation for subsequent analyses. The second part involves calculating descriptive statistics for age, including frequency distributions, measures of central tendency, measures of spread, and distribution shape. These statistics will facilitate understanding the age distribution within the class, providing visual and numerical summaries, including frequency polygons and ogives.

In the third part, students will construct 95% confidence intervals for the class’s average age and the proportion of males, using the appropriate distributions—t-distribution for means when the population standard deviation is unknown, and normal distribution or z-intervals for proportions. The calculations will include critical values, margin of error, and bounds, along with interpretations that contextualize the findings within the population of online students.

The fourth part advances to hypothesis testing of the claims made in the article. Specifically, students will test whether the average age of online students is 32 years and whether the proportion of male students is 35%. Null and alternative hypotheses will be formulated, and the appropriate test statistics, p-values, and conclusions will be derived and interpreted at a 5% significance level. This step deepens understanding of inferential testing by applying real data to theoretical constructs.

Finally, in the fifth part, students will compile a cohesive final report in a formal paragraph structure. This report will summarize the article, the sample, the statistical procedures used, and interpret the results of the confidence intervals and hypothesis tests. Emphasis will be placed on clarity, logical flow, proper third-person writing, and comprehensive coverage of all analyses conducted throughout the project. The report will be submitted via the designated platform, ensuring integration of previous feedback and demonstrating proficiency in statistical reasoning and communication.

References

  • Laerd Statistics. (2018). Confidence Interval for a Population Mean (and Proportion). Retrieved from https://statistics.laerd.com
  • Moore, D. S., McCabe, G. P., & Craig, B. A. (2017). Introduction to the Practice of Statistics. W.H. Freeman and Company.
  • Newbold, P., Carlson, W. L., & Thorne, B. (2013). Statistics for Business and Economics. Pearson.
  • Ott, R. L., & Longnecker, M. (2015). An Introduction to Statistical Methods and Data Analysis. Cengage Learning.
  • Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics. Sage Publications.
  • Triola, M. F. (2018). Elementary Statistics. Pearson.
  • Rumsey, D. J. (2016). Statistics For Dummies. Wiley Publishing.
  • Sullivan, M. (2018). Statistics: Informed Decisions Using Data. Pearson.
  • Freeman, S., et al. (2014). Essentials of Business Statistics. Pearson.
  • Agresti, A., & Franklin, C. (2016). Statistics: The Art and Science of Learning from Data. Pearson.

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