Questions 6 through 10: A researcher knows that the weights of 6-year olds are normally distributed with a mean of μx = 20.9 kg and a standard deviation of ox= 3.2 kg. Using a random sample of n = 16 children, describe the sampling distribution of x. What do we know? 6. 7. 8. Ox = Hx = What is the mean of the sampling distribution of x ? Hx=Mx = (use 1 decimal) What is the standard deviation of the sampling distribution of x? O b. = Ox= Questions 12 through 17: Apply the Empirical Rule 95% of the values fall between (µ ±20) (use 2 decimals) (lower value) (use 2 decimals) and 9. n= (upper value) 10. A random sample of 16 children has a sample mean of x = 18.3 kg. Given the sampling distribution above, explain whether this result is consistent with the belief that the mean weight of 6-year-olds is μ = 20.9 kg. a. Yes; It is consistent with this sampling distribution since it falls at/within μ ±20 No; It is not consistent with this sampling distribution since it falls outside Ux±20x
Questions 6 through 10: A researcher knows that the weights of 6-year olds are normally distributed with a mean of μx = 20.9 kg and a standard deviation of ox= 3.2 kg. Using a random sample of n = 16 children, describe the sampling distribution of x. What do we know? 6. 7. 8. Ox = Hx = What is the mean of the sampling distribution of x ? Hx=Mx = (use 1 decimal) What is the standard deviation of the sampling distribution of x? O b. = Ox= Questions 12 through 17: Apply the Empirical Rule 95% of the values fall between (µ ±20) (use 2 decimals) (lower value) (use 2 decimals) and 9. n= (upper value) 10. A random sample of 16 children has a sample mean of x = 18.3 kg. Given the sampling distribution above, explain whether this result is consistent with the belief that the mean weight of 6-year-olds is μ = 20.9 kg. a. Yes; It is consistent with this sampling distribution since it falls at/within μ ±20 No; It is not consistent with this sampling distribution since it falls outside Ux±20x
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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
Transcribed Image Text:Questions 6 through 10: A researcher knows that the weights of 6-year olds are normally
distributed with a mean of µx = 20.9 kg and a standard deviation of ox= 3.2 kg. Using a
random sample of n = 16 children, describe the sampling distribution of x.
What do we know?
6.
7.
8.
Hx
What is the mean of the sampling distribution of x ?
(use 1 decimal)
What is the standard deviation of the sampling distribution of x ?
ox
Mx =ux
X =
b.
=
Questions 12 through 17: Apply the Empirical Rule
95% of the values fall between (µ ±20) (use 2 decimals)
(lower value)
Ox =
(use 2 decimals)
What do we know?
and
10. A random sample of 16 children has a sample mean of x = 18.3 kg. Given the
sampling distribution above, explain whether this result is consistent with the belief
that the mean weight of 6-year-olds is µ = 20.9 kg.
a.
Yes; It is consistent with this sampling distribution since it falls at/within
μ ±20
Sx =
9.
n =
No; It is not consistent with this sampling distribution since it falls outside
μ ±20x
Questions 11 through 3: Let us assume that we know that the weight of 6-year old children is
normally distributed. A researcher has a random sample of n = 16 6-year old children. The
sample has a mean of x = 18.3 kg and a sample standard deviation of sx = 4.2 kg. Construct
the 95% confidence interval to estimate the population mean. Use 2 decimal places for your
answers.
(upper value)
n =
C-Level =

Transcribed Image Text:Questions 1 through 5: Sulfur compounds such as dimethyl sulfide (DMS) are sometimes
present in wine. DMS causes "off-odors" in wine, so winemakers want to know the odor
thresholds, the lowest concentration of DMS that the human nose can detect. If we measure
the DMS odor thresholds of individual adults, the values follow a normal distribution with a
mean of µx = 25 micrograms per liter and a standard deviation of ox = 7 micrograms per liter.
Consider randomly selected samples of n = 100 adults.
What do we know?
1.
2.
3.
5.
Ox =
Hx =
What is the mean of the sampling distribution of x ?
Mx = μx =
(no decimals)
What is the standard deviation of the sampling distribution of x ?
Questions 3 through 5: Apply the Empirical Rule
95% of the values fall between (µ ±20) (use 2 decimals)
0x =
b.
(lower value)
(use 2 decimals)
and
4.
n =
A random sample of 100 adults has a sample mean of x = 26.42 micrograms per
liter. Given the sampling distribution above, explain whether this result is
consistent with the belief that the mean odor threshold is μ = 25 micrograms per
liter.
a.
(upper value)
Page 1 of 3
Yes; It is consistent with this sampling distribution since it falls at/within
μ ± 20
No; It is not consistent with this sampling distribution since it falls outside
μ ±20x
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