(a) Categorize the problem below according to parameter being estimated, proportion p, mean u, difference of means 41 u2, or difference of proportions p1 - P2. Then solve the problem. O p O p1- P2 O 1 - 42 (b) Find an 95% confidence interval for - 42, the difference in population mean litter size between Ontario and Finland. (Use 1 decimal place.) lower limit upper limit (c) Examine the confidence interval and explain what it means in the context of this problem. Does the interval consist of numbers that are all positive? all negative? of different signs? At the 95% level of confidence, does it appear that the average litter size of wolf pups in Ontario is greater than the average litter size in Finland? O Because the interval contains only positive numbers, we can say that the average litter size of wolf pups is greater in Ontario. O Because the interval contains both positive and negative numbers, we can not say that the average litter size of wolf pups is greater in Ontario. O We can not make any conclusions using this confidence interval. O Because the interval contains only negative numbers, we can say that the average litter size of wolf pups is greater in Finland.

(a) Categorize the problem below according to parameter being estimated, proportion p, mean u, difference of means 41 u2, or difference of proportions p1 - P2. Then solve the problem. O p O p1- P2 O 1 - 42 (b) Find an 95% confidence interval for - 42, the difference in population mean litter size between Ontario and Finland. (Use 1 decimal place.) lower limit upper limit (c) Examine the confidence interval and explain what it means in the context of this problem. Does the interval consist of numbers that are all positive? all negative? of different signs? At the 95% level of confidence, does it appear that the average litter size of wolf pups in Ontario is greater than the average litter size in Finland? O Because the interval contains only positive numbers, we can say that the average litter size of wolf pups is greater in Ontario. O Because the interval contains both positive and negative numbers, we can not say that the average litter size of wolf pups is greater in Ontario. O We can not make any conclusions using this confidence interval. O Because the interval contains only negative numbers, we can say that the average litter size of wolf pups is greater in Finland.

Name: ### Statistical Analysis of Wolf Pups Average Litter Size in Ontario
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: ### Statistical Analysis of Wolf Pups Average Litter Size in Ontario and Finland#### IntroductionA random sample of 23 wolf litters in Ontario, Canada, gave an average of \( \bar{x_1} = 5.8 \) wolf pups per litter, with an estimated sample standard

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

39. Create a 95% confidence interval for the data set below. 49 62 54 64 55 49 48 52 65 53 62 ( , ) [three decimal accuracy] [three decimal accuracy]
8. Form a 90% confidence interval on the difference in means. group wine sample std dev 2.0 mean 10 17.4 no alcohol 10 12.4 2.0
Suppose a 90 percent confidence interval to estimate a population proportion was calculated from a sample proportion of 18 percent and a margin of error of 4 percent. What is the width of the confidence interval?
A research doctor wanted to estimate the average total cholesterol level of general adult population. He took a random sample of 12 adults for blood test and obtained the following sample. Assume that total cholesterol level of adult population is normally distributed. Use these data to create a 95% confidence interval for the population mean total cholesterol level. 175, 234, 189, 256, 170, 187, 192, 225, 245, 251, 195, 230 a) Find the sample mean and the standard deviation (round to two decimal places) b) 95% confidence interval for the population mean total cholesterol level (round to two decimal places)
10. Suppose we sample 300 UNI students and find the 27 regularly wear a watch. Find a 98% confidence interval for p, the percentage of all UNI students who regularly wear a watch.
QUESTION 1 a) Two machines are used to fill glass bottles with a net volume of 13.0ml. The filling processes are assumed to be normally distributed, with common but unknown standard deviations. The quality department suspects that both machines fill to the same net volume, whether or not this volume is 13.0ml. An experiment is performed by taking a random sample from the output of each machine. 13.01 12.98 13.02 13.05 12.99 Machine 1 13.03 13.01 12.96 12.97 13.04 13.04 13.02 13.01 13.05 13.02 Machine 2 13.00 12.96 12.99 13.02 13.03
Estimate the minimum sample size needed to achieve the margin of error E=0.013 for a 95% confidence interval.
N1=26 n2=13 Mean1=48 mean2=45 Standard deviation1=9,2 Standard deviation2=4,1 b) Construct a 95% confidence interval to test whether the two sample means differs. Interpret your answers. c) State the assumptions used
A random sample of 180 men indicated that 50 were smokers, and a random sample of 150 women surveyed indicated that 39 smoked. Construct a 98% confidence interval for the true difference in proportions of male and female smokers.
6. In Roosevelt National Forest, the rangers took random samples of live a) aspen trees and measured the base circumference of each tree. A sample of 36 trees had a mean circumference of 15.71 inches and a population standard deviation of 4.63 inches. Find a 98% confidence interval for the mean circumference of all aspen trees in Roosevelt National Forest from this data. b) 16.475) inches. What confidence level was used to produce this interval? Suppose a confidence interval constructed from this data was (14.945,