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mario62 [17]
4 years ago
13

Use the confidence level and sample data to find a confidence interval for estimating the population mu. Round your answer to th

e same number of decimal places as the sample mean. 37 packages are randomly selected from packages received by a parcel service. The sample has a mean weight of 10.3 pounds and a standard deviation of 2.4 pounds. What is the 95% confidence interval for the true mean weight, mu, of all packages received by the parcel service?
a. 9.6 lb < mu < 11.0 lb.
b. 9.4 lb < mu < 11.2 lb.
c. 9.5 lb < mu < 11.1 lb.
d. 9.3 lb< mu < 11.3 lb .
Mathematics
1 answer:
inysia [295]4 years ago
7 0

Answer:

c. 9.5 lb < mu < 11.1 lb.

Step-by-step explanation:

Confidence interval can be stated as M±ME where

  • M is the sample mean (10.3)
  • ME is the margin of error

margin of error (ME) around the mean can be calculated using the formula

ME=\frac{z*s}{\sqrt{N} } where

  • z is the corresponding statistic in 95% confidence level (1.96)
  • s is the standard deviation of the sample (2.4)
  • N is the sample size (37)

Putting thesenumbers in the formula we get:

ME=\frac{1.96*2.4}{\sqrt{37} } ≈ 0.7733 ≈ 0.8

Then the 95% confidence interval would be 10.3 ± 0.8

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Answer:

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Step-by-step explanation:

Since 1/3÷2/5 can also be written as 1/3/2/5

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1/3×5/2

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eu (european union) countries report that 46% of their labor force is female. The United Nations wnats to determine if the perce
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Answer:

Step-by-step explanation:

The question is incomplete. The complete question is:

EU (European Union) countries report that 46% of their labor force is female. The United Nations wants to determine if the percentage of females in the U.S. labor force is the same. Based on a sample of 500 employment records, representatives from the United States Department of Labor found that the 95% confidence interval for the proportion of females in the U.S. labor force is 0.357 to 0.443. If the Department of Labor wishes to tighten its interval, they should:

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D. Both A and B

E. Both A and C

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Margin of error = z × √pq/n

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Margin of error = 1.96√0.46 × 0.54/500 = 0.044

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It has reduced

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C. increase the sample size

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