Stats: Data and Models
5th Edition
ISBN: 9780135164013
Author: DeVeaux
Publisher: PEARSON CO
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Chapter R, Problem 5.6RE
(a)
To determine
The meaning of the margin of error.
(b)
To determine
The 95% confidence interval for the true proportioned adults who are very confident.
(c)
To determine
Whether the confidence interval for the proportion of non-confidence can be wider or narrower than the confidence interval for those who are very confident (that was found in part b).
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Students have asked these similar questions
A population that is uniformly distributed between a=0and b=10 is given in sample sizes
50( ),
100( ),
250( ),
and
500( ).
Find the sample mean and the sample standard deviations for the given data. Compare your results to the average of means for a sample of size 10, and use the empirical rules to analyze the sampling error. For each sample, also find the standard error of the mean using formula given below.
Standard Error of the
Mean =sigma/Root
Complete the following table with the results from the sampling experiment.
(Round to four decimal places as needed.)
Sample Size
Average of 8 Sample Means
Standard Deviation of 8 Sample Means
Standard Error
50
100
250
500
A survey of
250250
young professionals found that
two dash thirdstwo-thirds
of them use their cell phones primarily for e-mail. Can you conclude statistically that the population proportion who use cell phones primarily for e-mail is less than
0.720.72?
Use a 95% confidence interval.
Question content area bottom
Part 1
The 95% confidence interval is
left bracket nothing comma nothing right bracket0.60820.6082, 0.72510.7251.
As
0.720.72
is
within the limits
of the confidence interval, we
cannot
conclude that the population proportion is less than
0.720.72.
(Use ascending order. Round to four decimal places as needed.)
I need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)
Chapter R Solutions
Stats: Data and Models
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