Question
In: Math
Number of defective monitors manufactured in day shift and afternoon shift is to be compared. A...
Number of defective monitors manufactured in day shift and afternoon shift is to be compared. A sample of the production from six day shifts and eight afternoon shifts revealed the following number of defects.
Day 4 5 8 6 7 9
Afternoon 9 8 10 7 6 14 11 5
Is there a difference in the mean number of defects per shift? Choose an appropriate significance level.
(a) State the null hypothesis and the alternative hypothesis.
(b) What is the decision rule?
(c) What is the value of the test statistic?
(d) What is your decision regarding the null hypothesis?
(e) What is the p-value? (f ) Interpret the result.
(g) What assumptions are necessary for this test?
(Typed answer preferred)
Solutions
milcah answered 8 months agoRelated Solutions
Number of defective monitors manufactured in day shift and afternoon shift is to be compared. A...
Number of defective monitors manufactured in day shift and
afternoon shift is to be compared. A sample of the production from
six day shifts and eight afternoon shifts revealed the following
number of defects.
Day
4
5
8
6
7
9
Afternoon
9
8
10
7
6
14
11
5
Is there a difference in the mean number of defects per shift?
Choose an appropriate significance level.
(a) State the null hypothesis and the
alternative hypothesis.
(b) What is the...
A manufacturer wants to compare the number of defects on the day shift with the number...
A manufacturer wants to compare the number of defects on the day
shift with the number on the evening shift. A sample of production
from recent shifts showed the following defects:
Day Shift: 6 9 8 7 10 8
Evening Shift: 9 11 8 12 10 13 15 10
The objective is to determine whether the mean number of defects
on the night shift is greater than the mean number on the day shift
at the 95% confidence level.
a)...
A manufacturer wants to compare the number of defects on the day shift with the number...
A manufacturer wants to compare the number of defects on the day
shift with the number on the evening shift. A sample of production
from recent shifts showed the following defects:
Day Shift 6 9 8 7 10 8
Evening Shift 9 11 8 12 10 13 15 10
The objective is to determine whether the mean number of defects
on the night shift is greater than the mean number on the day shift
at the 95% confidence level.
a)...
A manufacturer wants to compare the number of defects on the day shift with the number...
A manufacturer wants to compare the number of defects on
the day shift with the number on the evening shift. A sample of
production from recent shifts showed the following
defects:
Day Shift 5 8 7 6 9 7
Evening Shift 8 10 7 11 9 12 14 9
The objective is to determine whether the mean number of
defects on the night shift is greater than the mean number on the
day shift at the 95% confidence level.
State...
A manufacturer wants to compare the number of defects on the day shift with the number...
A manufacturer wants to compare the
number of defects on the day shift with the number on the evening
shift. A sample of production from recent shifts showed the
following defects:
Day
Shift
5
8
7
6
9 7
Evening Shift
8
10
7
11
9
12
14 9
The objective is to determine whether
the mean number of defects on the night shift is greater than the
mean number on the day shift at the 95% confidence level....
A manufacturer wants to compare the number of defects on the day shift with the number...
A manufacturer wants to compare the number of defects on the day
shift with the number on the evening shift. A sample of production
from recent shifts showed the following defects: Day Shift 5 8 7 6
9 7
Evening Shift 8 10 7 11 9 12 14 9
The objective is to determine whether the mean number of defects
on the night shift is greater than the mean number on the day shift
at the 95% confidence level.
State...
You are working the afternoon shift in an inpatient psychiatric unit. The patients are in the...
You are working the afternoon shift in an inpatient psychiatric
unit. The patients are in the day room
watching a movie when suddenly someone starts yelling. You and
other staff rush to the day room to find
J.J., a 48-year-old male patient, crouched in the corner behind a
chair, yelling at the other patients, "Get
down. Get down quick." You and the other staff are able to calm
J.J. and the other patients and take J.J. to
his room. He...
The table below shows the number of graveyard shift, swing shift, and day shift workers (variable called JOB SHIFT) by "coffee drinking" and "non-coffee drinking" (variable called AWAKE)
The table below shows the number of graveyard shift, swing shift, and day shift workers (variable called JOB SHIFT) by "coffee drinking" and "non-coffee drinking" (variable called AWAKE). Test the null hypothesis that the two variables are unrelated by doing the following:
(Answer: Chi-square = 10.08)
State the null and research hypotheses.
Report the degrees of freedom.
Report the critical value (use alpha = .05)
Calculate the test statistic
In two or three sentences, briefly explain the results
(this...
The Elderly Driver It was late in the afternoon on a sunny April day. Maybe it...
The
Elderly Driver
It
was late in the afternoon on a sunny April day. Maybe it was the
sun in her eyes, but 82-year-old Janet found herself in her car in
a ditch at the side of the road, unsure of how she got there. Once
at the hospital, her son and daughter joined her and heard the
good news that Janet had escaped with just a broken arm. The police
report strongly suggested that she had swerved off the...
The Quality Control Department employs five technicians during the day shift. Listed below is the number...
The Quality Control Department employs five technicians during
the day shift. Listed below is the number of times each technician
instructed the production foreman to shut down the manufacturing
process last week.
Technician
Shutdowns
Taylor
4
Hurley
2
Gupta
4
Rousche
3
Huang
2
How many different samples of two technicians are possible from
this population?
List all possible samples of two observations each and compute
the mean of each sample. (Round your answers to 1 decimal
place.)
Compare the...
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