4. Answer the questions using the result of minitab. IQ's are normally distributed with u =100 and o = 12. Take random sample of size 100 and repeat the process to calculate the mean of the sample. 1)How does the mean of the sampling distribution µz compare to the mean of the original population µ. 2)How does the standard deviation of the sampling distribution o, compare to the standard deviation of the original population o. 3)How does the shape of the sampling distribution compare to the of the original population? 4) calculate p (X>104) Generate 100 random samples of size n=40 from Normal (u=80, sd3D5), calculate confidence intervals for mean and check how many failed to correctly estimate u? Example10.MTW. Variable exam2, calculate confidence interval and decide if the mean less than 80 d. a. c. The national percentage of automobile accident fatalities which are alcohol related is 42%, In a random sample of 92 automobile accident fatalities in the state of Connecticut, 46 were alcohol related. Is this sufficient evidence to say that Connecticut has a higher percent of alcohol related automobile fatalities? b.
4. Answer the questions using the result of minitab. IQ's are normally distributed with u =100 and o = 12. Take random sample of size 100 and repeat the process to calculate the mean of the sample. 1)How does the mean of the sampling distribution µz compare to the mean of the original population µ. 2)How does the standard deviation of the sampling distribution o, compare to the standard deviation of the original population o. 3)How does the shape of the sampling distribution compare to the of the original population? 4) calculate p (X>104) Generate 100 random samples of size n=40 from Normal (u=80, sd3D5), calculate confidence intervals for mean and check how many failed to correctly estimate u? Example10.MTW. Variable exam2, calculate confidence interval and decide if the mean less than 80 d. a. c. The national percentage of automobile accident fatalities which are alcohol related is 42%, In a random sample of 92 automobile accident fatalities in the state of Connecticut, 46 were alcohol related. Is this sufficient evidence to say that Connecticut has a higher percent of alcohol related automobile fatalities? b.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
A
B
c
D

Transcribed Image Text:4.
Answer the questions using the result of minitab.
IQ's are normally distributed with u =100 and o = 12. Take random sample of size 100
and repeat the process to calculate the mean of the sample. 1)How does the mean of the
sampling distribution µz compare to the mean of the original population µ. 2)How does
the standard deviation of the sampling distribution o, compare to the standard deviation
of the original population o. 3)How does the shape of the sampling distribution compare
to the of the original population? 4) calculate p (X>104)
Generate 100 random samples of size n=40 from Normal (u=80, sd3D5), calculate
confidence intervals for mean and check how many failed to correctly estimate u?
Example10.MTW. Variable exam2, calculate confidence interval and decide if the mean
less than 80
d.
a.
c.
The national percentage of automobile accident fatalities which are alcohol related is 42%,
In a random sample of 92 automobile accident fatalities in the state of Connecticut, 46 were
alcohol related. Is this sufficient evidence to say that Connecticut has a higher percent of
alcohol related automobile fatalities?
b.
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