AP Statistics Students
AP Statistics Students
Let's put all of your hard work to use on a project of your choosing. The project needs to involve data collection of some sort as well as one of the inference procedures listed below.
Let's put all of your hard work to use on a project of your choosing. The project needs to involve data collection of some sort as well as one of the inference procedures listed below.
z- test for one or two populations
z- interval for one or two populations
𝛘2 Goodness of Fit Test
𝛘2 Test of Independence
𝛘2 Test of Homogeneity
t- test for one or two populations
t- interval for one or two populations
t-test for slope (linear regression)
t-interval for slope (linear regression)
Who talks more? Male or female teachers?
Can we make dice unfair?
Is the shuffle playlist function really random?
Did COVID affect athletes' times in events?
What's the proportion of teachers and students that use a Gmail address?
How often do the computers break and need to be re-imaged? Would Chromebooks be better?
Are there more EV's parked at Healthy Living compared to Trader Joe's?
Are food companies lying to you?
How well can you use measurements from parts of your body to predict something else about bodies?
Can people tell the difference between bottled water and tap water AND filtered tap water?
Does the ratio of 10 miles : 1000 feet of elevation hold true for bikers in Vermont? Other states? Use Strava data to investigate.
How good are we at recycling? Composting?
Do people brush their teeth before or after breakfast?
How many students are checking their email?
What proportion of students have jobs?
How good at parking are we?
Do students like the cafeteria food?
Introduce your question and give your audience a hook! Give them a fun fact or other interesting tidbit to get them interested about what you are studying.
Why do we care? Why is this research important?
What have others who have studied this before you learned? What methods did they use? Google Scholar is an excellent resource for peer reviewed articles.
Give information about your population, how your data was collected, and the sample.
Descriptive Statistics - show one variable graphs of your data (histograms, boxplots, bar charts, etc.) and include relevant summary statistics (mean, SD, %, etc.). If you are doing linear regression you need to include more (shape, strength, direction, correlation, slope, y-intercept, and standard error of the residual interpretations)
Statistical Methods - Go through the inference procedure you used for your data set. Make sure you include EVERYTHING you would need for a Free Response Question.
What is the answer to your question? What are the statistics to back up those ideas?
What implications does this new learning have on society? What would things future researchers should consider if doing a similar analysis?