Question

Five out of 100 cell phones are randomly selected for quality
control. If eight of the phones are defective, what is the
probability that exactly n phones in the random sample of five will
be defective? (Variable n can take values from 0 through 5.)

Answer #1

In an effort to check the quality of their cell phones,
a manufacturing manager decides to take a random sample of 10 cell
phones from yesterday’s production run, which produced cell phones
with serial numbers ranging (according to when they were produced)
from 43005000 to 43005999. If each of the 1000 phones is equally
likely to be selected:
What distribution would they use to model the
selection?
What is the probability that a randomly selected cell
phone will be one...

In an effort to check the quality of their cell phones, a
manufacturing manager decides to take a random sample of 10 cell
phones from yesterday's production run, which produced cell
phones with serial numbers ranging (according to when they were
produced) from 80800099000 to 80800099999. Assume that each of the
1000 phones is equally likely to be selected.
a) What distribution would they use to model the selection?
b) What is the probability that a randomly selected...

Please show work.
In a large batch of cell phones,
4% are defective. A sample of 13 cell phones is randomly selected
without replacement from the batch and tested. The entire batch
will be rejected if at least one of those tested is defective. What
is the probability that at least one of those tested is defective.
What is the probability the entire batch will be rejected?

In a shipment of 300 processors, there are 12 defective
processors. A quality control consultant randomly collects 6
processors for inspection to determine whether they are defective.
Use the Hypergeometric approximation to calculate the
following:
a) The probability that there are exactly 2 defectives in the
sample
b) The probability that there are at most 5 defectives in the
sample, P(X<=5).
## Question 5 Write a script in R to compute the following
probabilities of a normal random variable with...

A quality control department randomly selects 300
motors from a ship and inspects
them for being good or defective. If this sample contains more than
eight defective
motors, the entire shipment is rejected. Assume that 2% of all
motors received are
defective.
a) Find the probability that the given shipment will be
accepted.
b) Find the probability that the given shipment will be
rejected.

Many companies use a quality control technique called acceptance
sampling to monitor incoming shipments of parts raw materials and
so on. In the electronics industry, component parts are commonly
shipped from suppliers in large lots. Inspection of a sample
n components can be viewed as the n trials of a binomial
the experiment. That outcome for each component test (trail) will
be that the component is classified as good or defective. Reynolds
Electronics accepts a lot from a particular supplier...

A manufacturing company regularly conducts quality control
checks at specified periods on the products it manufactures.
Historically, the failure rate for LED light bulbs that the company
manufactures is 8%. Suppose a random sample of 10 LED light bulbs
is selected. Complete parts (a) through (d) below.
a. What is the probability that none of the LED light bulbs are
defective? The probability that none of the LED light bulbs are
defective is nothing. (Type an integer or a decimal....

a poll of 2039 randomly selected adults showed that
96% of them own cell phones. the technology display below results
from a test of a claim that 92% of adults own cell phones. use the
normal distribution as an approximation to the binomial
distribution, and assume a 0.01 significance level to complete
parts (a) through (e)
a) is the test two-tailed, left-tailed, or right-tailed
b) the test statistic is ( rounded two decimals)
c) the p- value ( rounded three...

A poll of 2,024 randomly selected adults showed that 94% of
them own cell phones. The technology display below results from a
test of the claim that 90% of adults own cell phones. Use the
normal distribution as an approximation to the binomial
distribution, and assume a 0.01
significance level to complete parts (a) through (e).
Test of
pequals=0.9 vs p≠0.9
Sample
X
N
Sample p
95% CI
Z-Value
P-Value
1
1904
2,024
0.940711
(0.927190,0.954233)
6.11
0.000
a. Is the...

In a survey conducted by a company, 40% of all cell phones calls
are dropped in Seattle. Suppose that a random sample of 8 people
are selected in Seattle. What is the probability that… (3 Decimal
Places use round off rule) Exactly 8 calls are dropped? None are
dropped? At least 6 calls are dropped? 1 or more calls are dropped?
If 1200 people are randomly selected, what is the mean and standard
deviation of dropped calls?

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