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determined that e average weight X for a catfish is u=3.2 ounds with a standard deviation of a=0.8 und. Assuming the weights of catfish are rmally distributed, the probability P that a

determined that e average weight X for a catfish is u=3.2 ounds with a standard deviation of a=0.8 und. Assuming the weights of catfish are rmally distributed, the probability P that a

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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OOCOOO000 3E1. The owner of a fish market determined that the average weight X for a catfish is = 3.2 pounds with a standard deviation of a=0.8 pound. Assuming the weights of catfish are normally distributed, the probability P that a randomly selected catfish will weigh between 2 and 4.5 pounds is P = P(2< X <4.5)=_ 000000000 3E1. The standard error = (Where = √n a Standard Deviation, n = Sample Size) of the mean (a) is always larger than the standard deviation of the population. (9) increases as the sample size increases. (7) decreases as the sample size increases. (p) does not change but instead remains constant whenever the sample size increases or decreases. 0000000000 3E1. The Central Limit Theorem is important in statistics because (0) for a large n, it says the population is approximately normal. (e) for a large n, it says the sampling distribution of the sample mean is approximately normal, regardless of the shape of the population. (II) for any sized
Transcribed Image Text:OOCOOO000 3E1. The owner of a fish market determined that the average weight X for a catfish is = 3.2 pounds with a standard deviation of a=0.8 pound. Assuming the weights of catfish are normally distributed, the probability P that a randomly selected catfish will weigh between 2 and 4.5 pounds is P = P(2< X <4.5)=_ 000000000 3E1. The standard error = (Where = √n a Standard Deviation, n = Sample Size) of the mean (a) is always larger than the standard deviation of the population. (9) increases as the sample size increases. (7) decreases as the sample size increases. (p) does not change but instead remains constant whenever the sample size increases or decreases. 0000000000 3E1. The Central Limit Theorem is important in statistics because (0) for a large n, it says the population is approximately normal. (e) for a large n, it says the sampling distribution of the sample mean is approximately normal, regardless of the shape of the population. (II) for any sized
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