- Identify your population
- Three Universities
- Identify your variables of interest
- gender and preference cafe and whether student is from New England or not.
- State your research question
- Is gender associated with the preference either Dunkin’ Daunts or Starbucks ?
- Obtain your data:
- Surveys (create your own/use existing surveys)
- Counting/tallying (colors of skittles, etc, information on cereal boxes)
- Internet (stats available for major league baseball, NFL, average monthly statistics on temperature, crime, etc)
- Record your data:
- Sample size
- Organize your data for analysis
- Record descriptive statistics (mean, standard deviation, 5-number summary, distribution, skewness, outliers, etc)
- Perform analysis (compute t-tests, comparison of means, correlation or regression analysis as applicable)
- Report Results
- Discussion of results
Recommend the use of Excel or other spreadsheet software for steps 4-7. This work is tedious by hand.
Final Report (due November 29):
Analyzing Data and Writing a Report Below is a general outline of the topics that should be included in your report for your project. These sections will give you more detail about what should be covered with each topic.
1. Introduction. State the topic of your study.
2. Define Population(s). Define the population(s) that you intend for your study to represent.
3. Define Variable(s). Define clearly the variable(s) that you obtained during your data collection; this should include information on how the variable is measured and what possible values this variable has.
4. Data Collection. Describe your data collection process, including your data source, your sampling strategy, and what steps you took to avoid bias.
5. Study Design. Describe the procedures you followed to analyze your data.
6. Results: Descriptive Statistics. Give the relevant descriptive statistics for the sample(s) you collected.
7. Results: Statistical Analysis. Describe the results of your statistical analysis.
8. Findings. Interpret the results of your analysis in the context of your original research question. Was your hypothesis supported by your statistical analyses? Explain.
9. Discussion. What conclusions, if any, do you believe you can draw as a result of your study? If the results were not what you expected, what factors might explain your results? What did you learn from the project about the population(s) you studied? What did you learn about the research variable? What did you learn about the specific statistical test you conducted?
– I bold and underline the topics that I chose for this project which are:
1.The variables are: gender and preference cafe and whether student is from New England or not.
2. research question: Is gender associated with the preference either Dunkin’ Daunts or Starbucks and whether student is from New England or not?
3. population is: student from three universities
– Data analysis must follow these concepts:
1. A frequency table with class limits, class boundaries, Midpoint, Frequency, Frequency Relative and Frequency cumulative.
2. The Mode, Median and Mean.
3. Five Number Summary and Box-and-whisker plot.
any additonal analysis you may use any of them in this book from caphter 1- 10 excluding 7:
– Histgram and graph must be used.