Question

The standard deviation of the weights of elephants is known to be approximately 15 pounds. We...

The standard deviation of the weights of elephants is known to be approximately 15 pounds. We wish to construct a 95% confidence interval for the mean weight of newborn elephant calves. Fifty newborn elephants are weighed. The sample mean is 244 pounds. The sample standard deviation is 11 pounds.

A) Construct a 95% confidence interval for the population mean weight of newborn elephants.

B) What will happen to the confidence interval obtained, if 500 newborn elephants are weighed instead of 50? Why?

Homework Answers

Answer #1

a)

sample mean, xbar = 244
sample standard deviation, s = 11
sample size, n = 50
degrees of freedom, df = n - 1 = 49

Given CI level is 95%, hence α = 1 - 0.95 = 0.05
α/2 = 0.05/2 = 0.025, tc = t(α/2, df) = 2.01


ME = tc * s/sqrt(n)
ME = 2.01 * 11/sqrt(50)
ME = 3.127

CI = (xbar - tc * s/sqrt(n) , xbar + tc * s/sqrt(n))
CI = (244 - 2.01 * 11/sqrt(50) , 244 + 2.01 * 11/sqrt(50))
CI = (240.87 , 247.13)


b)

If we increase the sample size the interval becomes narrower

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
The standard deviation of the weights of elephants is known to be approximately 15 pounds. We...
The standard deviation of the weights of elephants is known to be approximately 15 pounds. We wish to construct a 95% confidence interval for the mean weight of newborn elephant calves. Fifty newborn elephants are weighed. The sample mean is 244 pounds. The sample standard deviation is 11 pounds. Identify the following: x¯ = σ = n = In words, define the random variables X and X¯. Construct a 95% confidence interval for the population mean weight of newborn elephants....
The standard deviation of the weights of elephants is known to be approximately 15 pounds. We...
The standard deviation of the weights of elephants is known to be approximately 15 pounds. We wish to construct a 95% confidence interval for the mean weight of newborn elephant calves. Fifty newborn elephants are weighed. The sample mean is 244 pounds. The sample standard deviation is 11 pounds. Construct a 95% confidence interval for the population mean weight of newborn elephants. State the confidence interval. (Round your answers to two decimal places.)   ,   Sketch the graph. (Round your answers...
The distribution of newborn Golden Retriever puppy weights is known to be approximately normal. Twenty-four newborn...
The distribution of newborn Golden Retriever puppy weights is known to be approximately normal. Twenty-four newborn retriever pups were weighed. The sample mean was 389.4 grams. The sample standard deviation was 19.3 grams. a) Construct a 90% confidence interval for the mean weight of newborn Golden Retriever puppies. Write a complete sentence describing the meaning of this confidence interval. b) What happens to the confidence interval if the sample size increases to 30 pups? Explain.
The distribution of newborn Golden Retriever puppy weights is known to be approximately normal. Twenty-four newborn...
The distribution of newborn Golden Retriever puppy weights is known to be approximately normal. Twenty-four newborn retriever pups were weighed. The sample mean was 389.4 grams. The sample standard deviation was 19.3 grams. a) Construct a 90% confidence interval for the mean weight of newborn Golden Retriever puppies. Write a complete sentence describing the meaning of this confidence interval. b) What happens to the confidence interval if the sample size increases to 30 pups? Explain.
The weights of newborn children in Canada are known to be normally distributed with mean 3402g....
The weights of newborn children in Canada are known to be normally distributed with mean 3402g. Fifty randomly selected newborns are weighed and have a mean weight of 3953g and standard deviation of 583g. Compute the left end of the 95% confidence interval for the population standard deviation of birth weights. Enter your answer to 1 decimal place.
5) A zoologist weights 15 newborn African elephants born in captivity. The mean weight of the...
5) A zoologist weights 15 newborn African elephants born in captivity. The mean weight of the sample is 186.7 lbs with a standard deviation of 5.8 lbs. a) Find a 99% confidence interval for the true weight of newborn African elephants born in captivity. b) Provide the right endpoint of the interval as your answer. Round your answer to 1 decimal place.
5) A zoologist weights 19 newborn African elephants born in captivity. The mean weight of the...
5) A zoologist weights 19 newborn African elephants born in captivity. The mean weight of the sample is 183.5 lbs with a standard deviation of 5.3 lbs. a) Find a 99% confidence interval for the true weight of newborn African elephants born in captivity. b) Provide the right endpoint of the interval as your answer. Round your answer to 1 decimal place.
6) A zoologist weights 19 newborn African elephants born in captivity. The mean weight of the...
6) A zoologist weights 19 newborn African elephants born in captivity. The mean weight of the sample is 185.4 lbs with a standard deviation of 6.4 lbs. a) Find a 99% confidence interval for the true weight of newborn African elephants born in captivity. b) Provide the margin of error of the interval as your answer. Round your answer to 1 decimal place.
6) A zoologist weights 24 newborn African elephants born in captivity. The mean weight of the...
6) A zoologist weights 24 newborn African elephants born in captivity. The mean weight of the sample is 180.1 lbs with a standard deviation of 5.7 lbs. a) Find a 99% confidence interval for the true weight of newborn African elephants born in captivity. b) Provide the margin of error of the interval as your answer. Round your answer to 1 decimal place.
True or false? A larger sample size produces a longer confidence interval for μ. False. As...
True or false? A larger sample size produces a longer confidence interval for μ. False. As the sample size increases, the maximal error decreases, resulting in a shorter confidence interval.True. As the sample size increases, the maximal error decreases, resulting in a longer confidence interval.    True. As the sample size increases, the maximal error increases, resulting in a longer confidence interval.False. As the sample size increases, the maximal error increases, resulting in a shorter confidence interval. True or false? If the...