Statistics Project: Conducting Research and Data Analysis - Prof. Janice L. Case, Study Guides, Projects, Research of Statistics

This statistics project requires students to propose a research hypothesis, collect data, and use statistical techniques to determine the validity of their theory. The project includes creating graphs, summary statistics, confidence intervals, and hypothesis tests using minitab. Students may collect their own data or use existing sources. The report must be typed, include appropriate graphs, summary statistics, and statistical analysis, and will be graded based on the quality of the abstract, description of the sample, production of graphs and summary statistics, construction of a confidence interval and hypothesis test, and relevant interpretations and conclusions. Suggested topics include repeating a reported study, performing a regression analysis, validating or refuting the 'freshman 15' rule, or determining the relationship between a baseball team's era and winning percentage.

Typology: Study Guides, Projects, Research

Pre 2010

Uploaded on 08/16/2009

koofers-user-n40
koofers-user-n40 🇺🇸

10 documents

1 / 1

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Statistics Project
50 points
The objective of this project is to incorporate the various topics of this
course into a comprehensive report. Graphs, summary statistics, regression
models, confidence intervals, and hypothesis tests work together to give
quantitative support for theories.
In your role as researcher, you are to propose a research hypothesis and collect
data to determine if your theory is valid. (Quantitative data is recommended since it is
the focus of this course.) There are no restrictions on your topic, but you must apply the
techniques learned in class to support your conclusions. You may collect your own data
through observation, experiment, or survey, or you may use data from other sources such
as almanacs or the internet. The data must be included with the project, either displayed
by Minitab, or attached as an appendix. If you use a survey, attach a copy.
The report must be typed and placed in a folder. It must include appropriate
graphs, summary statistics, at least one confidence interval, and at least one hypothesis
test. Minitab must be used unless an exception is granted. No length is specified, but it
will be graded according to the percentages given below as to how well it accomplishes
the following:
10% Abstract
10% Clearly stating the purpose of the research
10% Describing the sample and any possible bias
20% Producing appropriate graphs (at least 2)
10% Producing appropriate summary statistics
(mean, standard deviation, etc.)
25% Constructing a confidence interval and performing a
hypothesis test
15% Giving relevant interpretations and conclusions
Suggestions:
1. Repeat a study that was reported in the media. For example, examine how
many hours are spent each week watching TV, or compare the mean number
of automobile accidents of men and women.
2. Select two variables that seem to be related and perform a regression analysis.
3. Validate or refute the “Freshman 15” rule.
4. Determine if a baseball team’s ERA is related to its winning percentage.
5. Determine the mean number of kernels that don’t pop in a package of
microwave popcorn.

Partial preview of the text

Download Statistics Project: Conducting Research and Data Analysis - Prof. Janice L. Case and more Study Guides, Projects, Research Statistics in PDF only on Docsity!

Statistics Project

50 points

The objective of this project is to incorporate the various topics of this

course into a comprehensive report. Graphs, summary statistics, regression

models, confidence intervals, and hypothesis tests work together to give

quantitative support for theories.

In your role as researcher, you are to propose a research hypothesis and collect data to determine if your theory is valid. (Quantitative data is recommended since it is the focus of this course.) There are no restrictions on your topic, but you must apply the techniques learned in class to support your conclusions. You may collect your own data through observation, experiment, or survey, or you may use data from other sources such as almanacs or the internet. The data must be included with the project, either displayed by Minitab, or attached as an appendix. If you use a survey, attach a copy. The report must be typed and placed in a folder. It must include appropriate graphs, summary statistics, at least one confidence interval, and at least one hypothesis test. Minitab must be used unless an exception is granted. No length is specified, but it will be graded according to the percentages given below as to how well it accomplishes the following: 10% Abstract 10% Clearly stating the purpose of the research 10% Describing the sample and any possible bias 20% Producing appropriate graphs (at least 2) 10% Producing appropriate summary statistics (mean, standard deviation, etc.) 25% Constructing a confidence interval and performing a hypothesis test 15% Giving relevant interpretations and conclusions Suggestions:

  1. Repeat a study that was reported in the media. For example, examine how many hours are spent each week watching TV, or compare the mean number of automobile accidents of men and women.
  2. Select two variables that seem to be related and perform a regression analysis.
  3. Validate or refute the “Freshman 15” rule.
  4. Determine if a baseball team’s ERA is related to its winning percentage.
  5. Determine the mean number of kernels that don’t pop in a package of microwave popcorn.