Describe the normal distribution and why it is important for quantitative data analysis.
What will be an ideal response?
• Normal Distribution: Illustrates the assumption that the majority of values or scores you observe are located near the mean
o Students might define skew, which refers to the degree to which scores or values cluster above or below the mean
• Understanding the normal curve and skew is important as it ultimately relates to the shape of the data and the underlying distribution of scores
• It is important to know whether or not the data are normally distributed because of the assumptions you will then be able to make about your dataset and therefore which statistical tests you can use
o Parametric vs. non-parametric data and the statistical tests that correspond to each of these. If data is non-parametric, than different inferential statistics will be used
You might also like to view...
One of your classmates tells you she isn't sure what career she wants to pursue. You advise her to _____.
A. read through the rest of her FOCUS textbook for the answers B. study what you are studying C. talk to her parents D. go to the college's career center and talk with her instructors and advisors
Explain context's role in learning high-frequency words
What will be an ideal response?
Reviewing the school newspaper and yearbooks are examples of ______.
a. reviewing school policies b. reviewing teacher interests c. reviewing student interests d. reviewing pertinent documents and artifacts
Three year old J.C. proudly runs up to his teacher to show her his painting of a fire truck that consists of red splotches of paint. The painting does not "look like" a truck at all. Which of the following is the best way to respond?
A) "This is pretty. What is it?" B) "Maybe when you are in kindergarten, you'll be able to really draw a fire truck." C) "Oooh, I see lots of red. Tell me more about what you painted." D) "Let's try this again so that it is good enough to put up on the bulletin board."