Math 227 – Statistics Project
PRESENTATION OF PROJECT
Project must be typed and must include the following:
A. Title page:
Choose a title that is related to your question (title is not “Math 140 project”).
Name
Class and section number
Semester and year
B. Introduction – State what your question is and state what you intend to find. State
the purpose of the project and why you chose this question. You may include brief
research on your question if applicable. For example state the following in context to
your project. We took a sample of about 40 college students to find out some information
about the typical college student at this campus.
C. Statistical Analysis
Include the following in your report using StatCrunch (or any other statistical technology)
for computations. (No hand calculations for any part of the project is allowed.) Copy and
paste all computer outputs. No manually typed outputs are accepted.
Section I
1. Copy of Raw Data from excel including gender.
2. Include the following graphs for the entire group: histogram, dotplot, boxplot
3. Provide the descriptive statistics (copy and paste).
4. Write a summary of what you found for the entire group. Include shape, only best
measure of center, only best measure of spread and comment on any outliers.
Section II
Conduct 68%, 95% and 99.7% Confidence Intervals for the data to show how
confident you are that you have captured the true mean for the group. Give an
explanation of you have found in context to your question.
Section III
1. Make a side by side boxplot for males and females. Compare the two groups.
Include comparison of the medians, typical spreads (middle 50%), overall spread,
outliers, etc.
2. Conduct a hypothesis test comparing the means between genders for your question
using a significance level α = 0.05
Ho: µm = µf
Ha: µm ≠ µf
Make sure to write your conclusion in context with your question.
3. Comment on whether there is a significant difference among genders in the
response to your question?
D. Conclusion-Write a brief closing paragraph summarizing what you found.
Include any bias/confounding variables that could mislead you in your analysis.
You may email your report as well. Please do not hesitate to ask for assistance if you
have any questions.