Key Concepts
- Numerical data exploration
- Describing central tendency
- Describing dispersion or spread of data
- Common statistical symbols and formulas
Readings
These questions cover the material in:
- Gardener chapter 4.
- Note: You do not have to read section 4.6.
Questions
Question 1
Short-answer: 2 pts
- Describe a situation in which you would not use a normal
distribution in a statistical inference problem.
Question 2
Instructions
Review the mean()
function in R.
Short answer, R-code: 2 pts
In R, what would be returned if you compute the mean value of a
vector containing the following values: 4, 9, 2, 13, NA, 9?
Paste the R-code you used to check.
Is the answer what you expected?
Question 3
Multiple choice 1 pt
- Choose the most appropriate term to describe the distribution of the
data summarized in the histogram.
Question 4
Multiple choice: 1 pt
- Choose the most appropriate measure of central tendency to
describe the data summarized in this histogram.
Question 5
Multiple choice: 1 pt
- Choose the most appropriate measure of central tendency to
describe the data summarized in this histogram.
Question 6
Multiple choice: 1 pt
- Which of the following are measures of the variability or
dispersion in a sample of data?
Submit to Moodle
These questions are for your reference, the same questions will
appear in the assignment page on Moodle.
You should do your work outside of Moodle, saving your answers in a
document and/or R script file.
When you are ready to submit your answers, you can paste your
complete responses in the corresponding Moodle question entries for the
assignment.