sented with fingerprints from the same individual, a fingerprint expert will correctly identify the match 94% of the time. Suppose a random sample of 110 was collected and you were asked to find the probability that more than 90% of the fingerprints were correctly idenfied. Which one of the following conditions for the Central Limit Theorem (CLT) is not met? O a. The expected number of "successes" in the sample is too small. O b. The expected number of "failures" in the sample is too small. Oc. Relative to the size of the sample, the population is not large enough. O d.A non-random sample was collected.

Algebra and Trigonometry (MindTap Course List)
4th Edition
ISBN:9781305071742
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter14: Counting And Probability
Section14.2: Probability
Problem 3E: The conditional probability of E given that F occurs is P(EF)=___________. So in rolling a die the...
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When presented with fingerprints from the same individual, a fingerprint expert will correctly identify the match 94% of the time, Suppose a random sample of 110 was collected and you were asked to find the probability that more
than 90% of the fingerprints were correctly idenfied. Which one of the following conditions for the Central Limit Theorem (CLT) is not met?
O a. The expected number of "successes" in the sample is too small.
O b. The expected number of "failures" in the sample is too small.
O,. Relative to the size of the sample, the population is not large enough.
O d.A non-random sample was collected.
Transcribed Image Text:When presented with fingerprints from the same individual, a fingerprint expert will correctly identify the match 94% of the time, Suppose a random sample of 110 was collected and you were asked to find the probability that more than 90% of the fingerprints were correctly idenfied. Which one of the following conditions for the Central Limit Theorem (CLT) is not met? O a. The expected number of "successes" in the sample is too small. O b. The expected number of "failures" in the sample is too small. O,. Relative to the size of the sample, the population is not large enough. O d.A non-random sample was collected.
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