Question
In: Statistics and Probability
83. Suppose that the length of long distance phone calls, measured in minutes, is known to...
83. Suppose that the length of long distance phone calls, measured in minutes, is known to have an exponential distribution with the average length of a call equal to eight minutes.
a. Define the random variable. X= ________________.
b. Is X continuous or discrete?
c. μ= ________
d. σ= ________
e. Draw a graph of the probability distribution. Label the axes.
f. Find the probability that a phone call lasts less than nine minutes.
g. Find the probability that a phone call lasts more than nine minutes.
h. Find the probability that a phone call lasts between seven and nine minutes.
i. If 25 phone calls are made one after another, on average, what would you expect the total to be? Why?
Solutions
orchestra answered 1 year agoRelated Solutions
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Historically, evening long-distance calls phone calls from a
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hypothesis at 10% level of significance, state the hypothesis and
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a. estimate the p-value and show your work.
Long distance telephone calls are normally distributed with a mean of 8 minutes and a standard...
Long distance telephone calls are
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minutes.
If random samples of 25 calls were selected, what is the
probability that telephone calls would be between 7.83 and 8.2
minutes?
If random samples of 25 calls were selected, what is the
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c. If
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A statistical analysis of 1,000 long-distance telephone calls made by a company indicates that the length...
A statistical analysis of 1,000 long-distance telephone calls
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280280
seconds and a standard deviation of
3030
seconds. Complete parts (a) through (d).
a.
What is the probability that a call lasted less than
230230
seconds?The probability that a call lasted less than
230230
seconds is
. 0478.0478 .
(Round to four decimal places as needed.)
b.
What is the probability that a...
A statistical analysis of 1,000 long-distance telephone calls made by a company indicates that the length...
A statistical analysis of 1,000 long-distance telephone calls
made by a company indicates that the length of these calls is
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deviation of 30 seconds. Complete parts (a) through (d).
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A study of long distance phone calls made from General Electric Corporate Headquarters in Fairfield, Connecticut,...
A study of long distance phone calls made from General Electric
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length of the calls, in minutes, follows the normal probability
distribution. The mean length of time per call was 3.6 minutes and
the standard deviation was 0.40 minute. a) What is the probability
that calls last between 3.6 and 4.2 minutes? b) What is the
porbability that the calls last more than 4.2 minutes? c) What is
prob calls last beteen 4.2...
A study of long-distance phone calls made from General Electric Corporate Headquarters in Fairfield, Connecticut, revealed...
A study of long-distance phone calls made from General Electric
Corporate Headquarters in Fairfield, Connecticut, revealed the
length of the calls, in minutes, follows the normal probability
distribution. The mean length of time per call was 5.1 minutes and
the standard deviation was 0.40 minutes. Use Appendix B.3.
What is the probability that calls last between 5.1 and 5.8
minutes? (Round your z value to 2 decimal places
and final answer to 4 decimal places.)
What is the probability that...
A study of long-distance phone calls made from General Electric Corporate Headquarters in Fairfield, Connecticut, revealed...
A study of long-distance phone calls made from General Electric
Corporate Headquarters in Fairfield, Connecticut, revealed the
length of the calls, in minutes, follows the normal probability
distribution. The mean length of time per call was 5.1 minutes and
the standard deviation was 0.40 minutes. Use Appendix B.3.
What is the probability that calls last between 5.1 and 5.8
minutes? (Round your z value to 2 decimal places
and final answer to 4 decimal places.)
What is the probability that...
A study of long-distance phone calls made from General Electric Corporate Headquarters in Fairfield, Connecticut, revealed...
A study of long-distance phone calls made from General Electric
Corporate Headquarters in Fairfield, Connecticut, revealed the
length of the calls, in minutes, follows the normal probability
distribution. The mean length of time per call was 4.1 minutes and
the standard deviation was 0.40 minutes.
What is the probability that calls last between 4.1 and 4.8
minutes? (Round your z value to 2 decimal places
and final answer to 4 decimal places.)
What is the probability that calls last more...
Long-Distance Calls A long-distance provider charges the following rates for telephone calls: Rate Category Daytime (6:00...
Long-Distance Calls A long-distance provider charges the
following rates for telephone calls: Rate Category Daytime (6:00
A.M. through 5:59 P.M.) Evening (6:00 P.M. through 11:59 P.M.)
Off-Peak (12:00 A.M. through 5:59 A.M.) Rate per Minute $0.07 $0.12
$0.05 Create a C++ program that allows the user to select a rate
category and enter the number of minutes of the call, then displays
the charges.
Use the following test data to determine if the application is
calculating properly:
Rate Category and...
this is in excel VB8 Program 3: Long-Distance Calls A long-distance provider charges the following rates...
this is in excel VB8
Program 3: Long-Distance Calls A long-distance provider charges
the following rates for telephone calls: Rate Category Rate per
Minute Daytime (6:00 A.M. through 5:59 P.M.) $0.07 Evening (6:00
P.M. through 11:59 P.M.) $0.12 Off-Peak (12:00 A.M. through 5:59
A.M.) $0.05 Create an application that allows the user to select a
rate category and enter the number of minutes of the call, then
displays the charges. Use the following test data to determine if
the application...
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