Question
In: Statistics and Probability
A manufacturing operation utilizes three production lines to assemble electronic fuses. All lines produce fuses at...
A manufacturing operation utilizes three production lines to assemble electronic fuses. All lines produce fuses at the same rate and 20% of fuses are defective. Production lines recently suffered mechanical difficulty and probability of choosing a product from line 1 given defective is 40%, probability of choosing a product from line 2 given defective is 50%, and probability of choosing a product from line 3 given defective is 25%.
What is the probability that a customer buy a non-defective fuse produce by line 2?
What is the probability that a customer buy a fuse produce by line 3?
Solutions
orchestra answered 2 years agoRelated Solutions
explain production process, manufacturing operation and service operation.
explain production process, manufacturing operation and service
operation.
The supervisor of a production line believes that the average time to assemble an electronic component is 18 minutes.
The supervisor of a production line believes that the average
time to assemble an electronic component is 18 minutes. Assume that
assembly time is normally distributed with a standard deviation of
4 minutes. The supervisor times the assembly of 19 components, and
finds that the average time for completion was 20.29 minutes. Is
there evidence that the average amount of time required to assemble
a component is something other than 18 minutes?What are the appropriate hypotheses one should test?H0: X...
An orange juice processing plant has three production lines. The production lines fill juice into 400...
An orange juice processing plant has three production lines. The
production lines fill juice into 400 ml packages. The production
manager of the plant would like to know if the production lines are
all filling the packages the same amount.
A sample of 25 packages from each production line are taken and
the data is saved in juice.csv. The production manager would like
to know:
“are the three production lines filling packages with the
same amount of juice, on average?”....
Consider the following sample of production volumes and total cost data for a manufacturing operation. Production...
Consider the following sample of production volumes and total
cost data for a manufacturing operation.
Production
Volume
(units)
Total Cost
($)
400
4,000
450
4,900
550
5,400
600
6,000
700
6,300
750
6,900
This data was used to develop an estimated regression equation,
ŷ = 1,305.33 + 7.44x, relating
production volume and cost for a particular manufacturing
operation. Use α = 0.05 to test whether the production
volume is significantly related to the total cost. (Use the
F test.)
State...
Consider the following sample of production volumes and total cost data for a manufacturing operation. Production...
Consider the following sample of production volumes and total
cost data for a manufacturing operation.
Production
Volume
(units)
Total Cost
($)
400
4,000
450
5,000
550
5,300
600
5,900
700
6,400
750
6,900
This data was used to develop an estimated regression equation,
ŷ = 1,305.33 + 7.44x, relating
production volume and cost for a particular manufacturing
operation. Use α = 0.05 to test whether the production
volume is significantly related to the total cost. (Use the
F test.)
(a)...
A manufacturing company operates two production lines.when both lines are operating,the production rate on each line...
A manufacturing company operates two production lines.when both
lines are operating,the production rate on each line is 500 units
per hour.At this production rate on each line is 500 per hour.At
this production rate the failure rate of line 1 is 3 failures per
8-hr day(CFR) and the failure rate of line 2 is 2 failures per 8-hr
day.when one line fails.the production rate of the second line must
be increased in order to make production quotas.At the increased
rate...
Consider the following sample of production volumes and total cost data for a manufacturing operation.
You may need to use the appropriate technology to answer this
question.
Consider the following sample of production volumes and total
cost data for a manufacturing operation.
Production
Volume
(units)
Total Cost
($)
400
4,100
450
5,000
550
5,500
600
5,900
700
6,500
750
7,000
This data was used to develop an estimated regression
equation,
ŷ = 1,342.67 + 7.52x,
relating production volume and cost for a particular
manufacturing operation. Use
α = 0.05
to test whether the production volume...
The data in the table below presents the hourly quantity of production for three lines of...
The data in the table below presents the hourly quantity of
production for three lines of production processes over the first 4
days in XYZ Company. Answer the questions based on the Excel Output
given below.
Day
Process 1
Process 2
Process 3
1
33
33
28
2
30
35
36
3
28
30
30
4
29
38
34
ANOVA: Single Factor
SUMMARY
Groups
Count
Sum
Average
Variance
Process 1
4
120
30
4.66667
Process 2
4
136
34
11.3333...
The data in the table below presents the hourly quantity of production for three lines of...
The data in the table below presents the hourly quantity of
production for three lines of production processes over the first 4
days in XYZ Company. Answer the questions based on the Excel Output
given below. Day Process 1 Process 2 Process 3 1 33 33 28 2 30 35
36 3 28 30 30 4 29 38 34 ANOVA: Single Factor SUMMARY Groups Count
Sum Average Variance Process 1 4 120 30 4.66667 Process 2 4 136 34
11.3333...
A small manufacturing operation employs three people Ann, Bob and Cathy for assembly ofWidgets. The three...
A small manufacturing operation employs three people Ann, Bob
and Cathy for assembly ofWidgets. The three work at different
speeds, so out of every 1000 Widgets assembled, Ann assembles 355,
Bob assembles 314 and Cathy assembles 331. Based on past data, it
is known that each of the three assembles the following percentage
incorrectly: Ann, 4.7%, Bob 3.1%and Cathy 2.5%.
(a) What is the probability that a Widget is assembled
incorrectly? (Use a tree diagram?)
(b) Let A,B and C...
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