Practice Measures Of Dispersion (3) - Introduction to Statistics - Data Science Basic

Practice: Measures of Dispersion

Lesson 3Introduction to Statistics

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10 questions

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3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
Calculate the range of the following dataset: {5, 10, 15, 20, 25}.
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Subtract the minimum value from the maximum value.
Question 2.
What does a higher variance indicate?
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Think about how variance is calculated.
3Question 3.
What is variance?
- A measure of spread calculated by the sum of deviations from the mean.
- The square root of the average squared differences from the mean.
- A simple difference between max and min values.
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Think about how variance reflects overall data variability.
4Question 4.
True or False: Standard deviation is always larger than range.
- True
- False
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Consider the definitions of both terms.
Question 5.
A dataset has these values: {15, 22, 17, 30, 25}. Calculate the variance and standard deviation.
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Start with calculating the mean before proceeding with the deviation.
Question 6.
Explain how changing a single score in a dataset from 20 to 50 will affect the range, variance, and standard deviation.
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Consider the implications of extremes on spread.

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