You are interested in estimating the the mean weight of the local adult population of female white-taileddeer (doe). From past data, you estimate that the standard deviation of all adult female white-tailed deerin this region to be 24 pounds. What sample size would you need to in order to estimate the mean weightof all female white-tailed deer, with a 96% confidence level, to within &8 pounds of the actual weight? (UseExcel to find the appropriate critical value and round to 3 decimal places.)

Answered: Image /qna-images/answer/0a72040e-6275-40ae-835b-dfbc931e2fb5.jpg

Answered: You are interested in estimating the…

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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you Created a survey that meawere Depression In people. you want to test the Claim that the Mean. meusurements of Depression that peaple have is not egued to 6.5. A sample. of 145 Of you patients had a mean depression measurement of X=6.7 and a standard deviation of l,5.
A small business wanted to estimate the mean income from their customers. They took a sample of 256 customers which yielded a sample mean of $71,250 with a standard deviation of $5,800 . What is the 90% confidence interval estimate for the population mean income of their customers.
Avalanches can be a real problem for travelers in the western United States and Canada. Slab avalanches studied in Canada had an average thickness of u = 67 cm. A sample of 31 avalanches in the U.S. gave a sample mean of = 63.0 cm. It is known that o = 10.3 cm for this type of data. Use a 0.03 level of significance to test the claim that the mean slab thickness of avalanches in the United States is different from that in Canada. Use the P-Value Approach. What are the hypotheses for this problem? А: Но и 3D 63.0 ст us На и + 63.0 ст B: Но и 63.0 ст С: Но и %3D 67 ст us HA и < 67 ст D: Ho u = 67 cm vs HA H# 67 cm B O A
A large number of bags of cement have been manufactured. You sample 10 of the bags and find that they have a mean weight of 91.5 pounds with a standard deviation of 8.8 pounds. Find the 90 % confidence limit for the mean of the weight of all of the cement bags.
You are interested in estimating the the mean weight of the local adult population of female white-tailed deer (doe). From past data, you estimate that the standard deviation of all adult female white-tailed deer in this region to be 22 pounds. What sample size would you need to in order to estimate the mean weight of all female white-tailed deer, with a 94% confidence level, to within 6 pounds of the actual weight?
A test was administered for a group of 400 students and scores were obtained. The scores are approximately normally distributed with a mean of 65 and standard deviation of 4.5. What are the scores within which approximately 95% of the total test scores fall?
Find the Margin of Error, if we are asked for 90% confidence interval where the mean is 52.3, the standard deviation is 2.15 and the sample size is 136.
A forestry researcher is conducting a study of trees in the upper midwest. He selects a random sample of 125 red maple trees and measures the trunk diameter of each. The mean of the sample is 25 inches with a standard deviation of 5.2 inches, use this to find a 95% confidence interval for the mean trunk diameter of all red maple trees.
What is the normalized z-score for a data point that has a value of 50 if the mean (Mu) is 560 and sigma is 55? This data point is taken from a total of 800 data point values .
A researcher wants to estimate the mean sleeping time of patients with sleep apnea. In a similar study, it was known that the population standard deviation is 1.8 hours. How many patients should be sampled to be 95% confident with the result accurate within 0.6 hours?
You would like to estimate the variance of sick days at a Fortune 500 company. You randomly select 15 employees and record how many sick days they have used in the past year and you get a sample standard deviation of 1.2. Provide a 95% confidence interval estimate of the population variance.
An farmer is convinced that the weighing instrument for palay had a variability measured by standard deviation equal to 2. He recorded the measurements 4.1, 6.5, 5.2 and 10.2. Do these data confirm or disprove his assertion? Use a 95% confidence level.

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