Assume that birth weights of full-term babies are normally distributed with mean 7.51 pounds and standarddeviation of 0.66 pounds.A. What is the probability that a full-term baby weighs less than 7.28 pounds at birth?Round to 4 decimal places.B. What is the sampling distribution of the sample mean birth weight of 25 babies?The sampling distribution is?Answer:Answer:less than 7.28 pounds?C. If a random sample of n = 25 babies is selected, what is the probability that their mean birth weight is7g10with mean. Do not round your standard deviation.bRound to 4 decimal places.bp8and standard deviationkP

Answered: Image /qna-images/answer/f33653a5-33e0-49fa-a64c-db8e926b3326.jpg

Answered: Assume that birth weights of full-term…

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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The p hat =0.25, proportion standard deviation=0.065, and z=1.960. 34. What is the size of the sampling proportion?* A. small B. large C. both small and large D. cannot be determined
Suppose that the efficacy of a certain drug is 0.49. Consider the sampling distribution (sample size 166) for the proportion of patients cured by this drug. n = a. What is the mean of this distribution? b. What is the standard error of this distribution? Round the answer to three decimal places. ent Submit Question ry ent with
The population mean and standard deviation are given below. Find the required probability and determine whether the given sample mean would be considered unusual. For a sample ofn=70, find the probability of a sample mean being less than 24.2 if p = 24 and o= 1.23. Click the icon to view page 1 of the standard normal table. Click the icon to view page 2 of the standard normal table. For a sample of n = 70, the probability of a sample mean being less than 24.2 if u = 24 and o = 1.23 is (Round to four decimal places as needed.) Would the given sample mean be considered unusual? The sample mean be considered unusual because it has a probability that is than 5%.
The amount of coffee that people drink per day is normally distributed with a mean of 17 ounces and a standard deviation of 5.5 ounces. 6 randomly selected people are surveyed. Round all answers to 4 decimal places where possible. a. What is the distribution of X? X - N( b. What is the distribution of x? x - N c. What is the probability that one randomly selected person drinks between 15.5 and 18 ounces of coffee per day? d. For the 6 people, find the probability that the average coffee consumption is between 15.5 and 18 ounces of coffee per day. e. For part d), is the assumption that the distribution is normal necessary? No Yes f. Find the IQR for the average of 6 coffee drinkers. Q1: ounces Q3 = ounces IQR: ounces =
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The amount of coffee that people drink per day is normally distributed with a mean of 17 ounces and a standard deviation of 7 ounces. 35 randomly selected people are surveyed. Round all answers to 4 decimal places where possible. a. What is the distribution of X? X - N( b. What is the distribution of ¤? ¤ - N( c. What is the probability that one randomly selected person drinks between 16.9 and 17.4 ounces of coffee per day? d. For the 35 people, find the probability that the average coffee consumption is between 16.9 and 17.4 ounces of coffee per day.
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The amount of coffee that people drink per day is normally distributed with a mean of 16 ounces and a standard deviation of 6 ounces. 35 randomly selected people are surveyed. Round all answers to 4 decimal places where possible. a. What is the distribution of X? X - N( b. What is the distribution of ? - N( c. What is the probability that one randomly selected person drinks between 15.7 and 16.1 ounces of coffee per day? d. For the 35 people, find the probability that the average coffee consumption is between 15.7 and 16.1 ounces of coffee per day. e. For part d), is the assumption that the distribution is normal necessary?O NoO Yes f. Find the IQR for the average of 35 coffee drinkers. Q1 ounces Q3 = ounces IQR: ounces II
The population mean and standard deviation are given below. Find the required probability and determine whether the given sample mean would be considered unusual. For a sample of n = 67, find the probability of a sample mean being less than 22,5 if u= 23 and g = 1.21. E Click the icon to view page 1 of the standard normal table. E Click the icon to view page 2 of the standard normal table. For a sample of n = 67, the probability of a sample mean being less than 22.5 if u = 23 and o =1.21 is (Round to four decimal places as needed.)

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