1. List of data collected. (At least 35)
2. The source(s) of the data.
3. Describe the population you are studying.
4. What data you are collecting and how you will collect it. (Survey can be an excellent source of data)
5. Relevant graphs of your data, including the usage of the TI-83/TI-84 or other program displays.
6. Relevant statistics:
a. Mean
b. Mode
c. Median
d. Mid-Range
e. Range
f. Standard deviation
7. Identifying the outlier(s) and its effect on overall result(s). Show how you calculate them.
8. Identifying the distribution of the data.
9. Estimating the population parameters. (Use a confidence level of 90%-99%)
10. Testing a claim about a population parameter. (Use a significance level of )
11. Show all the calculations in details.
12. Statement of conclusions. (The most important part of the project)
13. Reasons why the results might not be correct, along with a description of ways in which the study could be improved, given sufficient time and money.