Activate an optimized version of the page designed specifically for screen readers.
Outdated browsers can expose your computer to security risks. To ensure a secure experience, we recommend updating to the latest browser version. Support for this browser version will soon be discontinued.
SUFE DATA SCIENCE PRESENTATION
First Name and Last Name
Please click on the stage once at which you design the experiment, and twice at which you test a hypothesis
Suppose that you have a categorical explanatory variable and a numerical response. Click on the stage(s) once that will be affected, and click on the stage(s) twice that will not.
Please click on the stage one at which you test for normality at twice at which you produce graphical displays of the data.
Suppose that you count number of certain type of insects on a unit area at four different weather conditions click on the cell that is most appropriate for this situation.
Drag the following concepts into the stage that they belong
Create Excel database
Produce a histogram
Define the variables of interest
Determine the data type(s)
Decide the experiment bias or not
Consider confounding variables
Decide sample is bias or not
Get the p-value
Find the mean
Produce a contingency table
Define the measurement unit
Use chi-square test
Prepare a poster
Talk about what significance
Discuss how well model fits to the data
Comment on practical significance
Comment on missing observations
Decision on need for more observation
Check whether the variable will help to answer research question
Think about possible repeated observations
Decide the problem is "unsupervised"
Decide that your main concern are objects not variables
Use R software
Relate the results back to the research question
Decide whether the experiment can be easily repeated
Exploratory Data Analysis
Confirmatory Data Analysis
Powered by Qualtrics