A biologist is attempting to determine the mean weight of African elephants. She conducts a sample of 60 elephants, and finds a sample mean of 8954 lbs., with a standard deviation of 127 lbs. Assume that the distribution of weights of African elephants is nearly normal. Define your variable: Let μμ be the mean weight of all African elephants, in lbs.. Let μμ be the mean weight of the sampled African elephants, in lbs.. Let p be the proportion of elephants that weigh . Let p be the proprotion of elephants in the sample. Create and interpret a 95% Confidence Interval. Round your answers to one decimal place.        and  lbs. What is the margin of error? Round your answer to one decimal place.  lbs. Another biologist believes that the mean weight of elephants is 89898989. What do you think of this claim? That claim is not in our interval. We do not believe it. The claim is above the sample mean, so there is no way it can be true. The claim is inside the interval. It is reasonable. The claim is inside the interval. It must be true.

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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A biologist is attempting to determine the mean weight of African elephants. She conducts a sample of 60 elephants, and finds a sample mean of 8954 lbs., with a standard deviation of 127 lbs. Assume that the distribution of weights of African elephants is nearly normal.

Define your variable:

  • Let μμ be the mean weight of all African elephants, in lbs..
  • Let μμ be the mean weight of the sampled African elephants, in lbs..
  • Let p be the proportion of elephants that weigh .
  • Let p be the proprotion of elephants in the sample.



Create and interpret a 95% Confidence Interval. Round your answers to one decimal place.        and  lbs.

What is the margin of error? Round your answer to one decimal place.  lbs.

Another biologist believes that the mean weight of elephants is 89898989. What do you think of this claim?

  • That claim is not in our interval. We do not believe it.
  • The claim is above the sample mean, so there is no way it can be true.
  • The claim is inside the interval. It is reasonable.
  • The claim is inside the interval. It must be true.

 

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