ISYE 6501 / ISYE6501 Midterm Exam 2 (Latest Update 2025 / 2026) Intro to Analytics Modeling | Modules 11 - 16 Questions & Answers | 100% Correct | Grade A - Georgia Tech
Question:
Bernoulli distribution
Answer:
Discrete probability distribution where the outcome is binary, either 0 or 1.Often, 1 represents success and 0 represents failure. The probability of the outcome being 1 is and the probability of outcome being 0 is = 1 − , where is between 0 and 1.
Question:
Bias
Answer:
Systematic difference between a true parameter of a population and its estimate. 1 / 4
Question:
Binomial distribution
Answer:
Discrete probability distribution for the exact number of successes, k, out of a total of n iid Bernoulli trials, each with probability p
Question:
Distribution-fitting
Answer:
Determining whether a set of data seems to follow a certain probability distribution, or determining which of several distributions the data is close to.
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Question:
Exponential distribution
Answer:
A continuous probability distribution of the time between events. If the number of events in a fixed time follows the Poission distribution, then the time between them has the exponential distribution. The exponential distribution has the memoryless property.
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Question:
Geometric distribution
Answer:
Discrete probability distribution of the number of iid Bernoulli trials, each with success probability , before the first success: Pr()= ((1−)^). Also can be defined as the total number of trials through the first success (so Pr()=((1−)^(−1)) ). To find the number of trials before the first failure, a similar distribution would be Pr()= (^)(1−).
Question:
iid
Answer:
Independent and identically distributed.
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