t-test (ttest_ind, ttest_rel) in SciPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the function for independent t-test from scipy.stats.

SciPy

from scipy.stats import [1]

# Now you can use this function to compare two independent samples

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

Attest_rel

Bttest_ind

Cttest_1samp

Dttest_paired

Attempts:

3 left

💡 Hint

Common Mistakes

Using ttest_rel which is for related samples.

Trying to import a non-existent function like ttest_paired.

The function ttest_ind is used for independent t-tests, which compare two separate groups.

2fill in blank

medium

Complete the code to perform a related t-test on two paired samples.

SciPy

from scipy.stats import ttest_rel

sample1 = [5, 7, 8, 6, 9]
sample2 = [6, 8, 7, 7, 10]

result = ttest_rel([1], sample2)
print(result)

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

Asample1

Bsample2

Csample1 + sample2

Dsample1 * sample2

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping the samples or using combined lists.

Using arithmetic operations instead of sample lists.

The first argument to ttest_rel is the first sample, here sample1.

3fill in blank

hard

Fix the error in the code to correctly perform an independent t-test between two groups.

SciPy

from scipy.stats import ttest_ind

group_a = [12, 15, 14, 10, 13]
group_b = [9, 11, 10, 8, 12]

result = ttest_ind(group_a, [1])
print(result)

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

A[group_a, group_b]

Bgroup_a

Cgroup_b

Dgroup_a + group_b

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the same group twice.

Passing a list of groups or concatenated lists.

The second argument to ttest_ind should be the second group, group_b.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that stores t-test p-values for pairs of samples.

SciPy

samples = {'A': [1, 2, 3], 'B': [2, 3, 4], 'C': [3, 4, 5]}
from scipy.stats import ttest_ind

p_values = {key: ttest_ind(samples[key], samples[[1]]).pvalue for key in samples if key != [2] and key != 'C'}

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

A'B'

B'A'

C'C'

D'D'

Attempts:

3 left

💡 Hint

Common Mistakes

Using the same sample for both blanks.

Using samples not in the dictionary.

The comprehension compares each sample with sample 'B' and excludes 'A' and 'C' as specified.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that stores t-test statistics for pairs of samples where the statistic is greater than 2.

SciPy

samples = {'X': [10, 12, 11], 'Y': [9, 11, 10], 'Z': [13, 15, 14]}
from scipy.stats import ttest_ind

results = {k: ttest_ind(samples[k], samples[[1]]).statistic for k in samples if k != [2] and ttest_ind(samples[k], samples[[3]]).statistic > 2}

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

A'Y'

B'X'

C'Z'

D'W'

Attempts:

3 left

💡 Hint

Common Mistakes

Using inconsistent samples in blanks.

Using samples not in the dictionary.

The comprehension compares each sample with 'Y', excludes 'Z', and checks if the statistic is greater than 2 when compared with 'Y'.