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SciPy Quiz

Check what you have learned in the SciPy tutorial with this short quiz.

How the Quiz Works

There are eight questions. Pick an answer to see if it is right and read the short explanation.

Questions	Topics
1 to 2	SciPy basics and constants
3 to 5	Statistics and tests
6 to 8	Optimization, interpolation and integration

Questions

Exercise

1. How do you usually import a part of SciPy?

import scipy.allfrom scipy import statsimport stats from scipyusing scipy.stats

Exercise

2. What does convert_temperature(100, "Celsius", "Fahrenheit") return?

100.0373.15212.037.8

Exercise

3. Which function checks if one group's average is different from a fixed number?

stats.ttest_1samp()stats.ttest_ind()stats.pearsonr()stats.describe()

Exercise

4. A test gives a p-value of 0.01. What is the usual conclusion at the 0.05 level?

There is no differenceThe difference is statistically significantThe test failedYou need a p-value of exactly 0.05

Exercise

5. A Pearson correlation of -0.9 means what?

No relationshipA weak positive relationshipA strong negative relationship: when one goes up, the other goes downOne variable causes the other

Exercise

6. How do you find the MAXIMUM of a function f with scipy.optimize?

maximize_scalar(f)minimize_scalar(lambda x: -f(x))root_scalar(f)minimize_scalar(f) and read result.max

Exercise

7. What is interpolation?

Guessing values far outside your dataEstimating values between known data pointsFinding where a function equals zeroCalculating the area under a curve

Exercise

8. quad(lambda x: 2 * x, 0, 4) returns a pair. What is its first value?

8.016.04.02.0

What Next?

Finished? Put SciPy to work on real data with Pandas, or compare it with statistics in R.

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