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Some examples from this set of practice questions
1.
What are the key features of quantitative variables?
Answer: Center and Spread of the Data
2.
What is the key feature of categorical variables?
Answer: Relative number of observations
3.
What does it mean when a quantitative variable is discrete?
Answer: The values form a set of numbers containing finite possibilities for results
4.
What does is mean for a quantitative variable to be continuous?
Answer: Values exist at an interval where infinite possible values exist
5.
Name 3 features of distribution
Answer: Modal category, shape, center, variability, proportion, percentage
6.
What 2 features of distribution are considered relative frequencies?
Answer: Proportion and Percentage
7.
Discrete quantitative variables test
Answer: Distinct values and frequencies
8.
Continuous variables
Answer: Divide scale into intervals and test frequency of each
9.
Unimodal Distribution
Answer: Single mound/peak
10.
Bimodal Distribution
Answer: Two distinct peaks
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