ISYE 6501 / ISYE6501 Final Exam 2 (Latest Update 2025 / 2026) Intro to Analytics Modeling | Questions & Answers | 100% Correct | Grade A - Georgia Tech
Question:
When do you use hypothesis tests?
Answer:
When you know the underlying distribution
Question:
What type of test should you conduct if you do not know the underlying distribution
Answer:
non-parametric tests
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Question:
Nonparametric tests are useful when...
Answer:
1) we don't know much about the form of the underlying distribution the data comes from, or it doesn't fit a nice distribution.
2) it's important to have information about the median.
3) we don't have much data.
Question:
When to use McNemar's Test
Answer:
- compare pairs of results (responses. i.e whether the treatment worked.
- data points where 2 approaches were used on the same thing
- virus example w/ 2 different treatments
- uses the binomial distribution
- 2 data sets
- yi or zi are yes/no responses
Throws out the cases where the results are the same)
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Question:
Wilcoxon signed rank test for medians
Answer:
-Assume the the response function is continuous and -symmetric - and only asks if the median of the distro is different from a specified value (m)
- 1 data set
- sum of ranks
- calculate p-value
- like a normal distribution test
- | yi | - m, rank ascending, add up ranks only where yi > m
- 2 data sets
- |yi|-zi -- a lot like McNemar's test, but used when yi/zi are numeric
---- 2 pairs ----
Question:
Mann-Whitney test
Answer:
Observations are independent (different viruses, not paired) - one data set rank yi and zi together
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Question:
When to use Empirical Bayes Modeling
Answer:
- Overall distribution of something is known or estimated
- Only a little data available
Take a single observation combined with a broader set of observations that are relevant in general, but not specifically...and make a deduction or a prediction.
Question:
Communities in graphs focus on what
Answer:
automated ways of finding highly-interconnected subpopulations.
Question:
What is a clique in a community
Answer:
a set of nodes that all have edges between each other
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