Car MD reports that after two years of flat U.S. car repair costs, 2016 saw an increase. Once of the most common problems that trigger the “check engine� light is the catalytic converter. Repairing the catalytic converter had a mean repair cost of $1,190 in 2016. Suppose a sample of 100 catalytic converter repairs completed in the last month was selected. The sample mean repair cot was $1,125 with the sample standard deviation of $250 . a. Is There evidence that the population mean repair cost is less than $1,190? (Use a 0.005 level of significance.) b. Determine the p -value and interpret its meaning.
Car MD reports that after two years of flat U.S. car repair costs, 2016 saw an increase. Once of the most common problems that trigger the “check engine� light is the catalytic converter. Repairing the catalytic converter had a mean repair cost of $1,190 in 2016. Suppose a sample of 100 catalytic converter repairs completed in the last month was selected. The sample mean repair cot was $1,125 with the sample standard deviation of $250 . a. Is There evidence that the population mean repair cost is less than $1,190? (Use a 0.005 level of significance.) b. Determine the p -value and interpret its meaning.
Solution Summary: The author explains how to perform the t-test using Minitab.
CarMD reports that after two years of flat U.S. car repair costs, 2016 saw an increase. Once of the most common problems that trigger the “check engine� light is the catalytic converter. Repairing the catalytic converter had a mean repair cost of
$1,190
in 2016.
Suppose a sample of 100 catalytic converter repairs completed in the last month was selected. The sample mean repair cot was
$1,125
with the sample standard deviation of
$250
.
a. Is There evidence that the population mean repair cost is less thanÂ
$1,190?
(Use a 0.005 level of significance.)
b. Determine the p-value and interpret its meaning.
Definition Definition Number of subjects or observations included in a study. A large sample size typically provides more reliable results and better representation of the population. As sample size and width of confidence interval are inversely related, if the sample size is increased, the width of the confidence interval decreases.
08:34
◄ Classroom
07:59
Probs. 5-32/33
D
ا.
89
5-34. Determine the horizontal and vertical components
of reaction at the pin A and the normal force at the smooth
peg B on the member.
A
0,4 m
0.4 m
Prob. 5-34
F=600 N
fr
th
ar
0.
163586
5-37. The wooden plank resting between the buildings
deflects slightly when it supports the 50-kg boy. This
deflection causes a triangular distribution of load at its ends.
having maximum intensities of w, and wg. Determine w
and wg. each measured in N/m. when the boy is standing
3 m from one end as shown. Neglect the mass of the plank.
0.45 m
3 m
Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include:
Mileage (mpg)
Number of Cylinders (cyl)
Displacement (disp)
Horsepower (hp)
Research: Google to understand these variables.
Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp
Mean
Median
First Quartile (Q1)
Second Quartile (Q2)
Third Quartile (Q3)
Fourth Quartile (Q4)
10th Percentile
70th Percentile
Skewness
Kurtosis
Document Your Results:
In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command”
In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…
Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include:
Mileage (mpg)
Number of Cylinders (cyl)
Displacement (disp)
Horsepower (hp)
Research: Google to understand these variables.
Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp
Mean
Median
First Quartile (Q1)
Second Quartile (Q2)
Third Quartile (Q3)
Fourth Quartile (Q4)
10th Percentile
70th Percentile
Skewness
Kurtosis
Document Your Results:
In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command”
In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…
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