MS-DS Master of Data science Research & Data Analysis 5

Question 1

A data science team applies natural language processing to classify customer reviews. To evaluate model fairness across demographic groups, which metric should they prioritize?

Accepted Answer

Equalized odds across groups

Answer

Equalized odds requires equal true positive and false positive rates across demographic groups, directly measuring fairness beyond aggregate performance.

Question 2

In experimental design, a Latin square design is used to control for:

Accepted Answer

Two nuisance variables simultaneously

Answer

A Latin square balances two blocking factors (rows and columns) alongside the treatment, controlling both sources of nuisance variability.

Question 3

Which of the following best describes the curse of dimensionality in data analysis?

Accepted Answer

As features increase, the data becomes sparse and distance metrics lose meaning

Answer

In high dimensions, data points become equidistant and sparse, degrading the performance of distance-based algorithms and increasing sample size requirements.

Question 4

An analyst uses a Bonferroni correction after running 20 simultaneous hypothesis tests at α = 0.05. The corrected per-test significance level is:

Accepted Answer

0.0025

Answer

Bonferroni correction divides alpha by the number of tests: 0.05 / 20 = 0.0025, controlling the familywise error rate.

Question 5

In survival analysis, censored observations occur when:

Accepted Answer

A subject leaves the study or the study ends before the event is observed

Answer

Censoring means the exact event time is unknown because the subject was lost to follow-up or the study concluded before the event occurred.

MS-DS Master of Data science Practice Test

MS-DS Master of Data science Practice Test

MS-DS Master of Data science Research & Data Analysis 5