Final Individual Project: Analysis of the Titanic
Final Individual Project: Analysis of the Titanic
Business Statistics
Professor Anderson
Due Date: Last Day of Class
Name_________________________________________________________________ Date_______________________
Use this page as your COVER SHEET
Variable information for the dataset can be found at:
http://biostat.mc.vanderbilt.edu/wiki/pub/Main/DataSets/Ctitanic3.html
*Note that = survived ad = died.
To be
completed
by the
Instructor.
Points
Deducted:
Organization
Five points will be deducted if the submission does not follow the flow of the rubric (and
this is not included in the 100 possible points for content).
Research Question: Is there is a relationship between class and death?
Data
Collection
(2pts)
Variable Identification: Classify the variables as (Quantitative (discrete,
continuous), or Qualitative (nominal, ordinal)), and report possible and observed
outcomes. Support Possible values with research and citation(s).
Present the
data (12pts)
Graph (1pts): Choose the graph appropriate for your research question – Is there
is a relationship between class and death? (do’t create all graphs for each
research question!):
2 qualitative variables: Stacked bar chart (%f)
2 Quantitative Variables: Scatterplot
1 Qualitative variable and 1 quantitative variable: Comparative boxplot
Make sure your variable categories are not coded on the graph.
(1pts) Explain the choice for the X variable and Y variable and identify the
Independent and Dependent variable in each study .
(5pts) Describe the results in the graph.
(5pts) Interpret the results in the graph. Why do you think the results of the
study are as such? Support your claims with possible research.
Data Analysis
(22pts)
(2pts)Set up the hypothesis statement.
(5pts) Run appropriate test for relationship (choose test appropriate for your
study). Provide computer output. Discuss the statistical significance of the
results (meaning of a relationship or lack thereof).
(5pts) Effect size: Calculate and Discuss the strength of the relationship (NA if
there is no relationship).
(5pts) Show that you have met the ASSUMPTIONS for the test to be valid.
(5pts) Interpret the results. Why do you think the results of the test are as
such?
Confounding
(20pts)
(5pts) Test if gender has a relationship with survival. Include hypothesis, test
results, and discuss the statistical significance of the results (meaning of a
relationship or lack thereof).
(5pts) If gender has a relationship with survival: For females only, test and discuss
the statistical significance of the relationship between class and survival. If there
is a relationship, report the effect size.
Additioal Coets:
(5pts) If gender has a relationship with survival: For males only, test and discuss
the statistical significance of the relationship between class and survival. If there
is a relationship, report the effect size.
(5pts) What does it all mean? Please interpret.
Research Question: Is there is a relationship between soeoe’s age ad the fare that they paid?
Data
Collection
(2pts)
Variable Identification (2pts): Classify the variables as (Quantitative (discrete,
continuous), or Qualitative (nominal, ordinal)), and report possible and observed
outcomes. Support Possible values with research and citation(s).
Present the
data (12pts)
Graph (1pts): Choose the graph appropriate for your research question – Is
there is a relatioship betwee soeoe’s age ad the fare that they paid?
(do’t create all graphs for each research question!):
2 qualitative variables: Stacked bar chart (%f)
2 Quantitative Variables: Scatterplot
1 Qualitative variable and 1 quantitative variable: Comparative boxplot
(1pt) Explain the choice for the X variable and Y variable and identify the
Independent and Dependent variable in each study.
(5pts) Describe the results in the graph.
(5pts) Interpret the results in the graph. Why do you think the results of the
study are as such? Support your claims with possible research.
Data Analysis
(30pts)
(5pts) Set up the hypothesis statement.
(5pts) Run appropriate test for relationship (choose test appropriate for your
study). Provide computer output. Discuss the statistical significance of the
results (meaning of a relationship or lack thereof).
(5pts) Effect size: Discuss the strength of the relationship (NA if there is no
relationship).
(5pts) Provide the regression equation, and use the regression equation for
prediction! Interpret the slope. (NA if there is no relationship).
(5pts) Show that you have met the ASSUMPTIONS for the test to be valid.
(5pts) Interpret the results. Why do you think the results of the test are as
such?
