People suffering from hypertension, heart disease, or kidney problems may need to limit their intakes of sodium. The public health departments in some US states and Canadian provinces require community water systems to notify their customers if the sodium concentration in the drinking water exceeds a designated limit. In Connecticut, for example, the notification level is 28 mg/L (milligrams per liter). Suppose that over the course of a particular year the mean concentration of sodium in the drinking water of a water system in Connecticut is 26.4 mg/L, and the standard deviation is 6 mg/L. Imagine that the water department selects a simple random sample of 32 water specimens over the course of this year. Each specimen is sent to a lab for testing, and at the end of the year the water department computes the mean concentration across the 32 specimens. If the mean exceeds 28 mg/L, the water department notifies the public and recommends that people who are on sodium-restricted diets inform their physicians of the sodium content in their drinking water. Use the Distributions tool to answer the following question. (Hint: Start by setting the mean and standard deviation parameters on the tool to the expected mean and standard error for the distribution of sample mean concentrations.) Normal Distribution Mean-255 Standard Deviation 085 18.0 20.0 22.0 24.0 26.0 28.0 30.0 32.M -10.0 -8.0 -6.0 -4.0 -2.0 0.0 2.0 4.0 6.0 Even though the actual concentration of sodium in the drinking water is within the limit, there is a will erroneously advise its customers of an above-limit concentration of sodium. probability that the water department Suppose that the water department wants to reduce its risk of erroneously notifying its customers that the sodium concentration is above the limit. Assuming the water department can't change the mean or the standard deviation of the sodium concentration in the drinking water, is there anything the department can do to reduce the risk of notifying its customers that the sodium concentration is above the limit when it actually is not? No, there is nothing it can do. O It can collect fewer specimens over the course of the year. O It can collect more specimens over the course of the year.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
Please help with stats hw
8. An application of the distribution of sample means
People suffering from hypertension, heart disease, or kidney problems may need to limit their intakes of sodium. The public health departments in
some US states and Canadian provinces require community water systems to notify their customers if the sodium concentration in the drinking water
exceeds a designated limit. In Connecticut, for example, the notification level is 28 mg/L (milligrams per liter).
Suppose that over the course of a particular year the mean concentration of sodium in the drinking water of a water system in Connecticut is 26.4
mg/L, and the standard deviation is 6 mg/L.
Imagine that the water department selects a simple random sample of 32 water specimens over the course of this year. Each specimen is sent to a lab
for testing, and at the end of the year the water department computes the mean concentration across the 32 specimens. If the mean exceeds 28
mg/L, the water department notifies the public and recommends that people who are on sodium-restricted diets inform their physicians of the sodium
content in their drinking water.
Use the Distributions tool to answer the following question. (Hint: Start by setting the mean and standard deviation parameters on the tool to the
expected mean and standard error for the distribution of sample mean concentrations.)
Normal Distribution
Mean- 255
Standard Deviation 0.85
18.0
20.0
22.0
24.0
26.0
28.0
30.0
32.A
-10.0
-8.0
-6.0
-4.0
-2.0
0.0
2.0
4.0
6.0
Even though the actual concentration of sodium in the drinking water is within the limit, there is a
will erroneously advise its customers of an above-limit concentration of sodium.
v probability that the water department
Suppose that the water department wants to reduce its risk of erroneously notifying its customers that the sodium concentration is above the limit.
Assuming the water department can't change the mean or the standard deviation of the sodium concentration in the drinking water, is there anything
the department can do to reduce the risk of notifying its customers that the sodium concentration is above the limit when it actually is not?
O No, there is nothing it can do.
O It can collect fewer specimens over the course of the year.
O It can collect more specimens over the course of the year.
to search
F3
DII
F4
F5
PrtScn
Home
F9
F6
F7
F8
@
&
Transcribed Image Text:8. An application of the distribution of sample means People suffering from hypertension, heart disease, or kidney problems may need to limit their intakes of sodium. The public health departments in some US states and Canadian provinces require community water systems to notify their customers if the sodium concentration in the drinking water exceeds a designated limit. In Connecticut, for example, the notification level is 28 mg/L (milligrams per liter). Suppose that over the course of a particular year the mean concentration of sodium in the drinking water of a water system in Connecticut is 26.4 mg/L, and the standard deviation is 6 mg/L. Imagine that the water department selects a simple random sample of 32 water specimens over the course of this year. Each specimen is sent to a lab for testing, and at the end of the year the water department computes the mean concentration across the 32 specimens. If the mean exceeds 28 mg/L, the water department notifies the public and recommends that people who are on sodium-restricted diets inform their physicians of the sodium content in their drinking water. Use the Distributions tool to answer the following question. (Hint: Start by setting the mean and standard deviation parameters on the tool to the expected mean and standard error for the distribution of sample mean concentrations.) Normal Distribution Mean- 255 Standard Deviation 0.85 18.0 20.0 22.0 24.0 26.0 28.0 30.0 32.A -10.0 -8.0 -6.0 -4.0 -2.0 0.0 2.0 4.0 6.0 Even though the actual concentration of sodium in the drinking water is within the limit, there is a will erroneously advise its customers of an above-limit concentration of sodium. v probability that the water department Suppose that the water department wants to reduce its risk of erroneously notifying its customers that the sodium concentration is above the limit. Assuming the water department can't change the mean or the standard deviation of the sodium concentration in the drinking water, is there anything the department can do to reduce the risk of notifying its customers that the sodium concentration is above the limit when it actually is not? O No, there is nothing it can do. O It can collect fewer specimens over the course of the year. O It can collect more specimens over the course of the year. to search F3 DII F4 F5 PrtScn Home F9 F6 F7 F8 @ &
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps with 1 images

Blurred answer
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman