Random variable generation in SciPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to generate 5 random numbers from a normal distribution with mean 0 and standard deviation 1.

SciPy

from scipy.stats import norm
samples = norm.[1](loc=0, scale=1, size=5)
print(samples)

Drag options to blanks, or click blank then click option'

Apdf

Bcdf

Crvs

Dppf

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'pdf' or 'cdf' instead of 'rvs' which do not generate samples.

Confusing 'ppf' with sample generation.

The rvs method generates random samples from the distribution.

2fill in blank

medium

Complete the code to generate 10 random values from a uniform distribution between 0 and 1.

SciPy

from scipy.stats import uniform
samples = uniform.[1](loc=0, scale=1, size=10)
print(samples)

Drag options to blanks, or click blank then click option'

Arvs

Bcdf

Cpdf

Dsf

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'cdf' or 'pdf' which calculate probabilities, not samples.

Using 'sf' which is survival function, not sample generation.

The rvs method generates random samples from the uniform distribution.

3fill in blank

hard

Fix the error in the code to generate 7 random values from an exponential distribution with rate 2 (lambda=2).

SciPy

from scipy.stats import expon
samples = expon.[1](scale=0.5, size=7)
print(samples)

Drag options to blanks, or click blank then click option'

Arvs

Bcdf

Cpdf

Dppf

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'cdf' or 'pdf' which do not generate samples.

Using 'ppf' which calculates quantiles, not samples.

The rvs method is needed to generate random samples. Other methods compute probabilities or quantiles.

4fill in blank

hard

Fill both blanks to create a dictionary of word lengths for words longer than 4 characters.

SciPy

words = ['apple', 'bat', 'carrot', 'dog', 'elephant']
lengths = {word: [1] for word in words if len(word) [2] 4}
print(lengths)

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Alen(word)

Bword

C>

D<=

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself as the value instead of its length.

Using '<=' instead of '>' in the condition.

We want the length of each word as the value, so len(word) is used. The condition filters words longer than 4 characters, so > is correct.

5fill in blank

hard

Fill all three blanks to create a dictionary of uppercase words and their lengths for words shorter than 6 characters.

SciPy

words = ['apple', 'bat', 'carrot', 'dog', 'elephant']
result = { [1]: [2] for word in words if len(word) [3] 6 }
print(result)

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Aword.upper()

Blen(word)

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using the original word as key instead of uppercase.

Using '>' instead of '<' in the condition.

Using the word as value instead of its length.

The dictionary keys are uppercase words (word.upper()), values are their lengths (len(word)), and the condition filters words shorter than 6 characters (<).