Practice Variance (3.1) - Introduction to Statistics

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8 questions

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Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does variance measure?
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Think about how data points are spread out.
Question 2.
Provide an example of a dataset with low variance.
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Consider scores close to each other.
3Question 3.
What is the primary purpose of calculating variance?
- To find the mean
- To measure data spread
- To determine the median
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Consider what variance represents.
4Question 4.
True or False: A variance of zero indicates a perfectly spread dataset.
- True
- False
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Think about what a variance of zero suggests.
Question 5.
Given a set of test scores from two different classes, Class A: [80, 85, 90, 95], Class B: [70, 90, 110, 130]. Calculate and compare the variances.
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Look at the range of scores in each class.
Question 6.
Consider two investments: Investment X shows returns of [3%, 4%, 2%, 1%, 5%], while Investment Y shows returns of [0%, 15%, -5%, 20%]. Discuss which investment has more predictable returns based on variance.
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Analyze how each investment's returns are clustered.

4 more questions in this section. Enroll free to practise them all.