5. A study of peach trees found that the average number of peaches per it525. The standard deviation of the population is 105 peaches per tree. Ascientist wishes to find the 80% confidence interval for the mean number ofpeaches per tree. How many trees does she need to sample to obtain an averageaccurate to within 12 peaches per tree?

Answered: Image /qna-images/answer/a48cb158-7f7b-4a51-9cbe-20d42959bc54.jpg

Answered: 5. A study of peach trees found that…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Suppose the mean height in inches of all 9th grade students at one high school is estimated. The population standard deviation is 3 inches. The heights of 10 randomly selected students are 68, 62, 68, 75, 71, 60, 69, 62, 69 and 70. x¯ = Margin of error at 95% confidence level = 95% confidence interval = [
When 77 campers are randomly selected and surveyed, it was found that the average number that prefer to camp at the beach was 16. Assume the population standard deviation is 2.3. Construct a 90% confidence interval for the true population mean of the number of campers who prefer to camp at the beach. Give your answers to 3 decimal places. Error =
A veterinarian wants to estimate the mean weight of a cat in their city. They take a random sample of 19 cats and found a mean of 10.9 lbs with a sample standard deviation of 1 lbs. Find the 95% confidence interval of the mean. Assume that the cat weights are normally distributed. Do not round in between steps. Round answers to at least 4 decimal places.
The heights of 9 men were taken with sample mean of 165 cm and standard deviation 5 cm. The heights of 7 Japanese women were taken with sample mean of 150 cm and standard deviation 3 cm. Assuming that the population standard deviations for heights of men and women are both the same, construct the 95% confidence interval for the difference in mean heights between men and women.
Find the lower limit of 95% confidence interval. An SRS of 36 students were taken from high schools in a particular state. The average test score of the sampled students was 60 with a standard deviation of 13.26. Give the lower limit of the interval approximation.
Suppose the mean height in inches of all 9th grade students at one high school is estimated. The population standard deviation is 3 inches. The heights of 6 randomly selected students are 71, 73, 69, 72, 71 and 64. x= Margin of error at 99%= confidence level = 99% confidence interval = [smaller value, larger value]=
Suppose we have data coming from 69 i.i.d) observations. The sample mean is JÓ28 and the sample standard deviation is calculated to be 1.63. Find a 95% confidence interval for the true mean.
An agricultural researcher plants 14 plots with a new variety of corn. The average yield for these plots is X = 155 bushels per acre. Assume that the yield per acre for new variety of corn follows a normal distribution with unknown mean and a calculated sample standard deviation s = 10 bushels. A 90% confidence interval for the unknown mean is
2. There was a sample of 14 adult wild mountain lions who were caught and released in the San Andres Mountains. The average weight of the sample was 82.55 pounds with a sample standard deviation of 13.45 pounds. Find a 95% confidence interval for the population mean weight of all the wild mountain lions in the San Andres Mountains.
A 95% confidence interval for the mean was computed with a sample of size 90 to be (16,22). b. What is the point estimate x̅ ?
A researcher collected data on a sample of 40 stores of a large retail chain, and for each store translate data to a conventional performance rating. The average performance rating among sample values is calculated to be 275. calculate an approxiate 95% confidence interval for the mean performance rating of all stories of the chain. Assume the standard deviation of performance ratings among all store in the chain is 90.

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