Question

In an article in the *Journal of Management,* Joseph
Martocchio studied and estimated the costs of employee absences.
Based on a sample of 176 blue-collar workers, Martocchio estimated
that the mean amount of *paid* time lost during a
three-month period was 1.3 days per employee with a standard
deviation of 1.9 days. Martocchio also estimated that the mean
amount of *unpaid* time lost during a three-month period was
1.4 day per employee with a standard deviation of 1.8 days.

Suppose we randomly select a sample of 100 blue-collar workers.
Based on Martocchio’s estimates:

**(a)** What is the probability that the average
amount of *paid* time lost during a three-month period for
the 100 blue-collar workers will exceed 1.5 days? **(Use the
rounded mean and standard error to compute the rounded Z-score used
to find the probability. Round means to 1 decimal place, standard
deviations to 2 decimal places, and probabilities to 4 decimal
places. Round z-value to 2 decimal places.)**

**(b)** What is the probability that the average
amount of *unpaid* time lost during a three-month period for
the 100 blue-collar workers will exceed 1.5 days? **(Use the
rounded mean and standard error to compute the rounded Z-score used
to find the probability. Round standard deviations to 2 decimal
places and probabilities to 4 decimal places. Round z-value to 2
decimal places.)**

**(c)** Suppose we randomly select a sample of 100
blue-collar workers, and suppose the sample mean amount of unpaid
time lost during a three-month period actually exceeds 1.5 days.
Would it be reasonable to conclude that the mean amount of unpaid
time lost has increased above the previously estimated 1.4
days?

Answer #1

In an article in the Journal of Management, Joseph Martocchio
studied and estimated the costs of employee absences. Based on a
sample of 176 blue-collar workers, Martocchio estimated that the
mean amount of paid time lost during a three-month period was 1.4
days per employee with a standard deviation of 1.4 days. Martocchio
also estimated that the mean amount of unpaid time lost during a
three-month period was 1.4 day per employee with a standard
deviation of 1.6 days. Suppose...

In an article in the Journal of Management, Joseph Martocchio
studied and estimated the costs of employee absences. Based on a
sample of 176 blue-collar workers, Martocchio estimated that the
mean amount of paid time lost during a three-month period was 1.4
days per employee with a standard deviation of 1.3 days. Martocchio
also estimated that the mean amount of unpaid time lost during a
three-month period was 1.0 day per employee with a standard
deviation of 1.8 days. Suppose...

In an article in the Journal of Management, Joseph Martocchio
studied and estimated the costs of employee absences. Based on a
sample of 176 blue-collar workers, Martocchio estimated that the
mean amount of paid time lost during a three-month period was 1.3
days per employee with a standard deviation of 1.9 days. Martocchio
also estimated that the mean amount of unpaid time lost during a
three-month period was 1.4 day per employee with a standard
deviation of 1.8 days. Suppose...

The Graduate Management Admissions Test (GMAT) has a mean of 500
and a standard deviation of 100. Using this information,
find the probability for the three scenarios shown
below. (3.5 pts.)
Note: Show your z score rounded to two decimal
places (i.e., 2.85) (Showing calculations may help you
earn partial credit.) Show your probability rounded to four
decimal places (i.e., .6560).
a) What is the probability of a GMAT score less than
548?
b) What is the probability of a GMAT score...

In an article in the Journal of Marketing, Bayus studied the
differences between "early replacement buyers” and "late
replacement buyers” in making consumer durable good replacement
purchases. Early replacement buyers are consumers who replace a
product during the early part of its lifetime, while late
replacement buyers make replacement purchases late in the product’s
lifetime. In particular, Bayus studied automobile replacement
purchases. Consumers who traded in cars with ages of zero to three
years and mileages of no more than...

In an article in the Journal of Marketing, Bayus
studied the differences between "early replacement buyers” and
"late replacement buyers” in making consumer durable good
replacement purchases. Early replacement buyers are consumers who
replace a product during the early part of its lifetime, while late
replacement buyers make replacement purchases late in the product’s
lifetime. In particular, Bayus studied automobile replacement
purchases. Consumers who traded in cars with ages of zero to three
years and mileages of no more than...

A room has three lightbulbs. Each one has a 10% probability of
burning out within the month. Write the probability as a percentage
rounded to one decimal place.
What is the probability that all three will burn out within the
month?
"If something can go wrong, it will go wrong." This funny saying
is called Murphy's law. Let's interpret this to mean "If something
can go wrong, there is a very high probability that it will
eventually go wrong."
Suppose...

In an article in the Journal of Marketing, Bayus studied the
differences between "early replacement buyers” and "late
replacement buyers” in making consumer durable good replacement
purchases. Early replacement buyers are consumers who replace a
product during the early part of its lifetime, while late
replacement buyers make replacement purchases late in the product’s
lifetime. In particular, Bayus studied automobile replacement
purchases. Consumers who traded in cars with ages of zero to three
years and mileages of no more than...

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