Question

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. Round to four decimal places as needed.)

b. What is the probability that exactly one of the LED light bulbs is defective? The probability that exactly one of the LED light bulbs is defective is nothing. (Type an integer or a decimal. Round to four decimal places as needed.)

c. What is the probability that four or fewer of the LED light bulbs are defective? The probability that four or fewer of the LED light bulbs are defective is nothing. (Type an integer or a decimal. Round to four decimal places as needed.)

d. What is the probability that five or more of the LED light bulbs are defective? The probability that five or more of the LED light bulbs are defective is nothing. (Type an integer or a decimal. Round to four decimal places as needed.)

Answer #1

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 11%. Suppose a random sample of 10 LED light bulbs
is selected. What is the probability that a) None of the LED light
bulbs are defective? b) Exactly one of the LED light bulbs is
defective? c) Two or fewer of the LED light bulbs are defective? d)
Three or more...

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 18%. Suppose a random sample of 10 LED light bulbs
is selected. Complete parts (a) through (d) below
a) None of the LED light bulbs are defective? b) Exactly one of
the LED light bulbs is defective? c) Two or fewer of the LED light
bulbs are defective? d) Three or...

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
What is the probability that three or more of the LED light
bulbs are defective?
The probability that three or more of the LED light bulbs are
defective is?

A quality control inspector has drawn a sample of 19 light bulbs
from a recent production lot. If the number of defective bulbs is 2
or more, the lot fails inspection. Suppose 30% of the bulbs in the
lot are defective. What is the probability that the lot will fail
inspection? Round your answer to four decimal places.

A quality control inspector has drawn a sample of 14 light bulbs
from a recent production lot. If the number of defective bulbs is 1
or less, the lot passes inspection. Suppose 20% of the bulbs in the
lot are defective. What is the probability that the lot will pass
inspection? Round your answer to four decimal places.

According to a survey of 25,000 households, 59 % of the people
watching a special event on TV enjoyed the commercials more than
the event itself. Complete parts a through e below based on a
random sample of nine people who watched the special event.
a. What is the probability that exactly three people enjoyed the
commercials more than the event? The probability is nothing.
(Round to four decimal places as needed.)
b. What is the probability that less than...

Past records indicate that the probability of online retail
orders that turn out to be fraudulent is 0.05. Suppose that, on a
given day, 18 online retail orders are placed. Assume that the
number of online retail orders that turn out to be fraudulent is
distributed as a binomial random variable. Complete parts (a)
through (d) below.
a. What are the mean and standard deviation of the number of
online retail orders that turn out to be fraudulent? The mean...

A company manufactures light bulbs. The company wants the bulbs
to have a mean life span of 990 hours. This average is maintained
by periodically testing random samples of 16 light bulbs. If the
t-value falls between minus t 0.99 and t 0.99, then the company
will be satisfied that it is manufacturing acceptable light bulbs.
For a random sample, the mean life span of the sample is 1007
hours and the standard deviation is 28 hours. Assume that life...

A company manufactures light bulbs. The company wants the bulbs
to have a mean life span of
999999
hours. This average is maintained by periodically testing random
samples of
2525
light bulbs. If the t-value falls between
minus−t 0.95t0.95
and
t 0.95t0.95,
then the company will be satisfied that it is manufacturing
acceptable light bulbs. For a random sample, the mean life span of
the sample is
10061006
hours and the standard deviation is
2222
hours. Assume that life spans...

A manufacturing firm produces a product that has a ceramic
coating. The coating is baked on to the product, and the baking
process is known to produce 10% defective items. Every hour, 25
products from the thousands that are baked hourly are sampled from
the ceramic-coating process and inspected. Complete parts a
through c.
a. What is the probability that 5 defective items will be found
in the next time sample of 25?
The probability is ________ that 5 defective...

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