StatTutor is a learning tool that provides you with a data analysis problem, supports you as you attempt to solve it, and gives you hints and feedback along the way. It assumes that the relevant data set is open in the background.
One of the main ideas behind StatTutor is to demonstrate that when solving data analysis problems we always go through the same set of steps. Those steps are shown on the left side of StatTutor, and you will click on them in sequence as you progress through the lab. Clicking on each step will cause a new worksheet to appear in this box for you to complete.
Note that you must provide a correct answer to all questions in a given step or provide a written response before being able to proceed. The system will bounce you back to a page that does not have all the questions correct or is missing an answer.
If you get stuck along the way, you can ask for hints by clicking on the hint button below.To begin:
- Read the Problem description at the top of the screen to find out the context of this StatTutor exercise.
- Click the Questions tab and take a look at the questions you are going to answer.
- Click the Variables tab to see the variables in this study.
- Click the Data tab to download the dataset and preview the data.
Once you've done that, either click on "Understand the Problem" in the Work Plan on the left or click on Understand the Problem to continue.
Before we begin looking at specific questions, we examine some general features of the problem, such as the data structure, how the data were collected, and the overall study design.
When you are ready, click on Check Data Format to continue.
We will start by answering some questions about the data. First, go to the Data Tab and choose the statistics package you wish to use and then download the dataset if you have not done so already.
When you are done, click on Question 1 to continue.
This node is not active for this lab exercise.
The next step in understanding the problem is addressing the issues of sampling and study design, which have implications on the generalizability of the results and the type of conclusions you can draw from them.
Design:This study is an
Sampling:Briefly describe what the problem statement tells us about how the individuals in the dataset were selected to be in the sample.
Click on Question 1 to continue.
In this final part of out data analysis process, we summarize our work and consider possible implications and limitations of our conclusions.
Click on Summarize Findings to continue.
What you wrote in Consider what results mean for each of the questions is pasted in the textbox below.
Now that you have addressed all the questions individually, write a short summary report of the main findings that you discovered using the data. For your convenience, your individual conclusions are provided below. You may edit them to create your summary.
After you write your summary, you are done
Click on Evaluate Study to continue.
What you wrote in Consider study Design is pasted in the textbox below.
Now that you have completed your analysis, discuss the strengths and weaknesses of you conclusions. In particular, address each of the following:
- Does the study design allow you to make causal conclusions? Why or why not?
- To what population does the sampling design allow you to generalize the results?
After you answer these questions, you are done!
This node is not active for this lab exercise. You are done!