Description of the dataset

• • Address random selection
  • Address the variables of interest (describe these variables in detail, including how they are measured/categorized)

A completed data analysis section

• • Includes what tests you will run and an explanation for why you chose these tests
  • Includes selected alpha value
  • Specify hypotheses
  • Conduct tests for assumptions (normality and equal variance as needed)
  • Explain what it means if assumptions fail (still continue with the analyses, but note that the assumptions failed)

The majority of the results section

• • except for chi-squared tests, you should be able to conduct and interpret the results of the statistical tests)
  • This includes noting p-values only
  • There are NO CONCLUSIONS/INTERPRETATIONS written for this section, only objective information.

The following material needs to be included in theFINAL submission (due in module 8). You may include it in your rough draft, but it is not required.

Introduction

• • Introduces the topic of your project.

Conclusion/Discussion

• • Must interpret the findings from your statistical analyses. What do the p-values mean for your hypotheses ("Given a p-value of x and an alpha value of y, we fail to reject/reject our alternative hypothesis that states z")?
  • What do the findings mean for your population of interest?
  • Do you think your data was representative of your target population (skew involved/bias involved) and what is your evidence for your claim?
  • Now that you know your results, what would be interesting to study in the future? Suggest future studies.

Cancer Dataset (Cancer.csv Download Cancer.csv)

If you choose this dataset, you will need to convert it into an R dataset by following the instructions in this video:

Importing Data into RLinks to an external site.

This data was obtained from NIH-sponsored SEER Program (Surveillance, Epidemiology, and End Results Program). Note that the rows in this dataset do not represent individuals. Each row represents a group of people from a specific age group, sex, racial/ethnic group, and year.

Sex = biological sex (Female or Male)

Race.Ethnicity = Race/ethnicity categories (Asian, Black, Hispanic, Native, White (hispanic), White (not hispanic))

Age = Age category (0-14, 15-39, 40-64, 65-74, 75+)

Year = Year data was collected

Incidence = Number of new cases per 100,000 people

Research Questions to Choose From (pick 2):

1. Is there a relationship between sex and incidence?

2. Is there a relationship race/ethnicity and incidence?

3. Is there an age-related effect on incidence?

4. Does the incidence rate of cancer change across the years?