Principles of data analysis, Applied Statistics

For the data analysis project, you will address some questions that interest you with the statistical methodology we are learning in class.   You choose the questions; you decide how to collect data; you do the analyses.  The questions can address almost any topic, including topics in economics, psychology, sociology, natural science, education, medicine, public policy, sports, law, etc.  The project requires you to synthesize all the materials from the course.  Hence, it's one of the best ways to solidify your understanding of statistical methods.  Plus, you get answers to issues that pique your intellectual curiosity. 

In twenty (20) PowerPoint slides or more, please create a presentation that adequately addresses and answers your statistical question(s).  Include your random sampling, calculations, graphs, charts, hypothesis, conclusion, and anything pertinent to your
"statistical question(s)."

The most important aspects of any statistical analysis are stating questions and collecting data.  To get the full experience of running your own study, the project requires you to analyze data that you collect.   It is not permissible to use data sets that have been put together by others.  You are permitted to collect data off of the web; however, you must be the one who decides on the analyses and puts the data set together.  

Good projects begin with very clear and well-defined hypotheses.  You should think of questions that interest you first, and then worry about how to collect and analyze data to address those questions.   Generally, vague topics lead to uninteresting projects. For example, surveying Harvard Undergraduates to see which sex studies more does not yield a whole lot of interesting conclusions. On the other hand, it would be interesting to hypothesize why men or women study more, and then figure out how to collect and analyze data to test your hypotheses.

Posted Date: 3/13/2013 3:17:59 AM | Location : United States







Related Discussions:- Principles of data analysis, Assignment Help, Ask Question on Principles of data analysis, Get Answer, Expert's Help, Principles of data analysis Discussions

Write discussion on Principles of data analysis
Your posts are moderated
Related Questions
Scenario: Many of the years 5 and year 6 learners' at Woodlands Park School were excited about being chosen for the cross-country team.  Every day, they were able to run laps of t

Find the minimum constant workforce: ABC Company, a manufacturer of roofing supplies, has developed monthly forecasts for roofing tiles. The forecasted demand and the expected

Show that the ISB in a bin containing the origin of the double exponen-tial density, f(x) = exp(-|x|)/2, is O(h 3 ); hence, the discontinuity in the derivative of f does not have a

Cause and Effect Even a highly significant correlation does not necessarily mean that a cause and effect relationship exists between the two variables. Thus, correlation does

Education seems to be a very difficult field in which to use quality methods. One possible outcome measures for colleges is the graduation rate (the percentage of the students matr

The Null Hypothesis - H0:  The random errors will be normally distributed The Alternative Hypothesis - H1:  The random errors are not normally distributed Reject H0: when P-v

Chemical processors manufacture wondercool using two processes- mixing and distillation. The following details relate to the distillation process for a period. No opening work i

Problem: A survey usually originates when an individual or an institution is confronted with an information need and the existing data are  insufficient. Planning the questionn

Examples of grouped, simple and frequency distribution data

Problem 1 Do male and female students differ significantly in regard to their average math achievement scores, grades in high school, and visualization test scores? Can you con