2. You work in quality control for a manufacturer, and want to
see what proportion of...
2. You work in quality control for a manufacturer, and want to
see what proportion of your company’s products pass inspection. You
take a sample of 80 products, and find that 65 of them pass
inspection.
a. What is your point estimate for the proportion that
pass
b. Use your answer from a) to find a 95% CI for ‘p’ (Remember,
you are allowed to
use the ‘short-cut’ formula here)
c. You want your CI to be accurate to ±1.5 percentage points.
How large should
your sample size be if
i. You use your estimate of p from part a)
ii. You make no assumptions as to the value of p
Solutions
Expert Solution
2(a)
The point estimate for the proportion that pass inspection
is
You work for a soft-drink company in the quality control
division. You are interested in the standard deviation of one of
your production lines as a measure of consistency. The product is
intended to have a mean of 12 ounces, and your team would like the
standard deviation to be as low as possible. You gather a random
sample of 16 containers. Estimate the population standard deviation
at a 80% level of confidence.
12.09
12.1
12.01
11.9
12.24
12.06
12.06...
You work for a soft-drink company in the quality control
division. You are interested in the standard deviation of one of
your production lines as a measure of consistency. The product is
intended to have a mean of 12 ounces, and your team would like the
standard deviation to be as low as possible. You gather a random
sample of 17 containers. Estimate the population standard deviation
at a 98% level of confidence.
11.83
12.12
12.13
11.96
12.15
11.86
12.02...
1) You work for a soft-drink company in the quality control
division. You are interested in the standard deviation of one of
your production lines as a measure of consistency. The product is
intended to have a mean of 12 ounces, and your team would like the
standard deviation to be as low as possible. You gather a random
sample of 15 containers. Estimate the population standard deviation
at a 90% level of confidence.
11.9
12.1
12.09
12.03
11.9
12.06...
Suppose you work in a human resources department and want to see
if average job satisfaction differs by Industry (Factor A), Level
of Work Experience (Factor B), or an interaction of both Industry
and Level of Work Experience (AB). You randomly select 3 workers
from each of the 9 combinations of industry and work experience and
administer a satisfaction survey. Using the results of the ANOVA
below, if you want to test for significant interaction effects on
job satisfaction, what...
You work at Happy Joe's family restaurant and want to see if
customer meal satisfaction and gender are related to one another.
You take a sample of customers and ask them if they were satisfied
with their meal and note their gender. To test at the 0.1 level to
determine if Satisfaction and Gender are dependent, calculate the
chi-square test statistic and p-value.
26 29
27 8
17 13
Numbers in the chart that wouldn't copy over ^
Question 3...
Imagine that you work as the quality engineer for a foam
manufacturer. Foam samples were compressed to 50% of their original
thickness and stored at different temperatures for nine years. At
the start of the experiment as well as during each year, sample
thickness was measured, and the thicknesses of the eight samples at
each storage condition were recorded. There are two storage
conditions (50oC and 60oC) and the sample data showing the
thicknesses for each storage condition is as...
A quality control engineer is interested in estimating the
proportion of defective items coming off a production line. In a
sample of 255 items, 45 are defective. Calculate a 95.0% confidence
interval estimate for the proportion of defectives from this
production line. (Use 3 decimal places in calculations and in
reporting your answers.)
Lower Limit:
Upper Limit:
The quality control director for a clothing manufacturer wanted
to study the effect of operators and machines on the breaking
strength (in pounds) of wool serge material. A batch of material
was cut into square yard pieces and these were randomly assigned,
two each, to all twelve combinations of four operators and three
machines chosen specifically for the equipment. The results were as
follows:
Operator
Machine
I
Machine
II
Machine
III
A
110 117
109 114
113 122
B
108...
The following exercise pertains to the Control Quality
process.
a. What does Control Quality monitor and what does
it compare the results to?
b. Describe inspection.
c. How do inspection and prevention differ?
d. What is attribute conformity? What is the
resulting decision from attribute measurement results?
e. Describe the purpose of control charts. What are
they used for primarily?
f. What are the common causes of variance?