ounces.The distribution of actual weights of 8-oz chocolate bars produced by a certain machine is normal with mean 7.7 ounces and standard deviation 0.17(a) What is the probability that the average weight of a bar in a Simple Random Sample (SRS) with three of these chocolate bars is between 7.56 and 7.9 ounces?ANSWER:(b) For a SRS of three of these chocolate bars, what is the level I such that there is a 4% chance that the average weight is less than L?ANSWER:

The mean is 7.7 ounces and the standard deviation is 0.17 ounces.

Answered: ounces. The distribution of actual…

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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2.1% 13.6% Normal Distribution 34.1% 34.1% 13.6% 2.1% A) Using the neck sizes of the shirts of the 100 college students in the DO NOW - μ-20 inches o- 5inches Find the neck size of a student above 2 standard deviations above the mean. B) What percentile will Eric fall if he has a neck size of 30 inches?
A machine produces glass with a nominal thickness of 4mm. In fact the thickness is a Normal random variable with mean 4.168mm and standard deviation 0.12mm. The thickness in mm which 5% of panes exceed is (2 d.p.)?
': Consider a puzzle is created where the amount of time it takes an individual to solve the puzzle follows a normal distribution with a standard deviation of 2 minutes. a) If a sample of 13 individuals was collected, what is the probability the sample mean time required to solve the puzzle would be within 1.2 minutes of the population mean? b) What would the required sample size be if we wanted the sample mean to be within half a minute of the population mean with a probability of .9?
Suppose samples of size 100 are drawn randomly from a population that has a mean of 20 and a standard deviation of 5. What is the probability of observing a sample mean equal to or greater than 20.5? 0.8384 0.4192 0.1634 0.9192 0.1587
The amount of pollutants that are found in waterways near large cities is normally distributed with mean 8.7 ppm and standard deviation 1.7 ppm. 18 randomly selected large cities are studied. Round all answers to 4 decimal places where possible. a. What is the distribution of X? X N( b. What is the distribution of T? I - N( c. What is the probability that one randomly selected city's waterway will have more than 8.9 ppm pollutants?
6.2 The Standard Normal Distribution Table: Z-score and Probability In the country of United States of Heightlandia, the height measurements of ten-year-old children are approximately normally distributed with a mean of 53.7 inches, and standard deviation of 5.1 inches. What is the probability that the height of a randomly chosen child is between 40.95 and 43.35 inches? Probability = (Use 4 decimal places.)
A random sample of size 21 is selected from Normal distribution with mean 12 and unknown variance. If the sample standard deviation S is 4, then the (90.)th percentile of the sample mean is closest to: a. 12.50 O b. 12.20 O c. 10.80 O d. 13.20 O e. 11.10
38)
Given a Normal Distribution with a population mean test score of 500 and a population standard deviation of 100. A.)For a sample of 81 test takers, calculate the standard error of the mean to 2 decimals. B.)What is the probability a sample of 81 test takers will provide a sample mean test score within 20 points of the population mean?
C.26. A clinic took temperature readings of 250 flu patients over a weekend and discovered the temperature distribution to be Gaussian, with a mean of 101.40°F and a standard deviation of 0.5610°F. a) What is the fraction of patients expected to have a fever greater than 102.97°F ? b) What fraction of patients is expected to have a temperature between 101.06°F and 102.24°F?
An independent random sample is selected from an approximately normal population with an unknown standard deviation. Find the p-value for the given sample size and test statistic. a. n = 11, T = 1.91 b. n = 17, T = -3.45 c. n = 26, T = 2.485 d. n = 18, T = 0.5
T. Q 4.

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