Kolmogorov-Smirnov test in SciPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the Kolmogorov-Smirnov test function from scipy.stats.

SciPy

from scipy.stats import [1]

# Now you can use the function for the KS test

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

Aks_test

Bks_2samp

Ckolmogorov_smirnov

Dkstest

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'ks_2samp' which is for two-sample KS test, not one-sample.

Trying 'ks_test' which is not a valid function name.

Using 'kolmogorov_smirnov' which is not a function in scipy.stats.

The function kstest is the correct name for the Kolmogorov-Smirnov test in scipy.stats.

2fill in blank

medium

Complete the code to perform a one-sample Kolmogorov-Smirnov test comparing data to a normal distribution.

SciPy

from scipy.stats import kstest, norm

result = kstest(data, [1])
print(result)

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

A'norm'

B'gaussian'

C'normal'

D'stdnorm'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'normal' which is not recognized by kstest.

Using 'gaussian' which is not a valid distribution name here.

Using 'stdnorm' which is not a valid string for this function.

The string 'norm' tells kstest to compare the data to a normal distribution.

3fill in blank

hard

Fix the error in the code to correctly perform a two-sample Kolmogorov-Smirnov test.

SciPy

from scipy.stats import [1]

result = ks_2samp(sample1, sample2)
print(result)

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

Aks_2samp

Bks_2sample

Cks2samp

Dkstest

Attempts:

3 left

💡 Hint

Common Mistakes

Importing 'kstest' which is for one-sample test.

Using 'ks2samp' without underscore which causes import error.

Using 'ks_2sample' which is not a valid function name.

The correct function name for the two-sample KS test is ks_2samp.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps each word to its length only if the length is greater than 3.

SciPy

lengths = {word: [1] for word in words if [2]

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Alen(word)

Bword

Clen(word) > 3

Dword > 3

Attempts:

3 left

💡 Hint

Common Mistakes

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

Checking if the word string is greater than 3, which is invalid.

Using the length without a comparison in the condition.

The dictionary maps each word to its length using len(word). The condition filters words with length greater than 3 using len(word) > 3.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps each uppercase word to its frequency only if frequency is greater than 1.

SciPy

freq_dict = [1]: [2] for [3] in word_counts if word_counts[[3]] > 1

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Aword.upper()

Bword_counts[word]

Cword

Dword.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself as key without uppercasing.

Using the wrong variable name in the loop.

Using lowercase instead of uppercase for keys.

The dictionary comprehension maps each word in word_counts to its frequency. The key is the uppercase version of the word (word.upper()), the value is the frequency (word_counts[word]), and the loop variable is word. The condition filters frequencies greater than 1.