Question
In: Statistics and Probability
To test the belief that sons are taller than their fathers, a student randomly selects 6...
To test the belief that sons are taller than their fathers, a student randomly selects 6 fathers who have adult male children. She records the height of both the father and son in inches and obtains the accompanying data. Are sons taller than their fathers? Use the α=0.1 level of significance. Note that a normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers.
|
Observation |
1 |
2 |
3 |
4 |
5 |
6 |
|
|---|---|---|---|---|---|---|---|
| Height of father (in inches),
Xi |
70.9 |
67.1 |
71.6 |
67.8 |
72.3 |
70.5 |
|
| Height of son (in inches),
Yi |
74.3 |
69.0 |
67.5 |
68.7 |
67.9 |
76.2 |
What is the P-Value?
Solutions
Expert Solution
Let us denote the difference
d = Height of father - Height of son
There is not sufficient evidence to support the claim that sonsare significantly taller than their fathers.
orchestra answered 2 years agoRelated Solutions
To test the belief that sons are taller than their fathers, a student randomly selects 6...
To test the belief that sons are taller than their fathers, a
student randomly selects 6 fathers who have adult male children.
She records the height of both the father and son in inches and
obtains the accompanying data. Are sons taller than their fathers?
Use the alpha equals 0.1 level of significance. Note that a normal
probability plot and boxplot of the data indicate that the
differences are approximately normally distributed with no
outliers.
Observation
1
2
3
4...
To test the belief that sons are taller than their fathers, a student randomly selects 6...
To test the belief that sons are taller than their fathers, a
student randomly selects 6 fathers who have adult male children.
She records the height of both the father and son in inches and
obtains the accompanying data. Are sons taller than their fathers?
Use the alpha equals 0.1 level of significance. Note that a normal
probability plot and boxplot of the data indicate that the
differences are approximately normally distributed with no
outliers.
Observation
1
2
3
4...
To test the belief that sons are taller than their fathers, a student randomly selects 13...
To test the belief that sons are taller than their fathers, a
student randomly selects 13 fathers who have adult male children.
She records the height of both the father and son in inches and
obtains the following data. Note: A normal probability plot and
boxplot of the data indicate that the differences are approximately
normally distributed with no outliers
Height of
Father,71.9,71.8,68.5,73.2,70.9,69.8,69.3,72.3,71.9,70.2,69.8,69.8,69.1
Xi Height of Son, Yi 76.8, 75.2, 71.0, 75.0, 72.0, 70.3, 69.4,
71.7, 70.6, 68.4, 67.3, 66.3,...
To test the belief that sons are taller than their fathers, a student randomly selects 13...
To test the belief that sons are taller than their fathers, a
student randomly selects 13 fathers who have adult male children.
She records the height of both the father and son in inches and
obtains the following data. Are sons taller than their fathers?
Use the
alphaαequals=0.10
level of significance. Note: A normal probability plot and
boxplot of the data indicate that the differences are approximately
normally distributed with no outliers.
LOADING...
Click the icon to view the table...
To test the belief that sons are taller than their fathers, a student randomly selects 13...
To test the belief that sons are taller than their fathers, a
student randomly selects 13 fathers who have adult male children.
She records the heights of both father and son in inches and
obtains the following data. A normal probability plot and boxplot
of the data indicate that the differences are approximately
normally distributed with no outliers. Test the claim at the α =
0.05 level of significance. Need to explain and show all work.
fathers height: 70.3 67.1...
To test the belief that sons are taller than their fathers, a student randomly selects 13...
To test the belief that sons are taller than their fathers, a
student randomly selects 13 fathers who have adult male children.
She records the height of both the father and son in inches and
obtains the following data. Are sons taller than their fathers?
Use the alpha=0.025 level of significance. Note: A normal
probability plot and boxplot of the data indicate that the
differences are approximately normally distributed with no
outliers.
Height of Father Height of Son
71.4 76.3...
A researcher randomly selects 6 fathers who have adult sons and records the fathers' and sons'...
A researcher randomly selects 6 fathers who have adult sons and
records the fathers' and sons' heights to obtain the data shown
in the table below. Test the claim that sons are taller than their
fathers at the alpha equals 0.10α=0.10 level of significance. The
normal probability plot and boxplot indicate that the differences
are approximately normally distributed with no outliers so the use
of a paired t-test is reasonable
67.5
72.9
68.4
71.2
67.7
66.8
71.1
71.3
67.6
74.7...
A researcher randomly selects 6 fathers who have adult sons and records the fathers' and sons'...
A researcher randomly selects 6 fathers who have adult sons and
records the fathers' and sons' heights to obtain the data shown
in the table below. Test the claim that sons are taller than their
fathers at the
α=0.10
level of significance. The normal probability plot and boxplot
indicate that the differences are approximately normally
distributed with no outliers so the use of a paired t-test is
reasonable.
Observation
1
2
3
4
5
6
Height of father (in inches)...
1. A statistics student takes a poll five randomly selected coffee shops, then randomly selects 6...
1. A statistics student takes a poll five randomly selected
coffee shops, then randomly selects 6 customers from each coffee
shop to find out if they support the President’s decision for
declaring the construction of a southern border wall a national
emergency.
Why wouldnʹt this sample be representative of the entire US
voting population?
We want to test the claim that people are taller in the morning than in the...
We want to test the claim that people are taller in the morning
than in the evening. Morning height and evening height were
measured for 30 randomly selected adults and the difference
(morning height) − (evening height) for each adult was recorded in
the table below. Use this data to test the claim that on
average people are taller in the morning than in the evening.
Test this claim at the 0.01 significance level.
(a) In mathematical notation, the claim...
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