Question

The following frequency distribution shows the number of passengers who flew on a small regional aircraft company’s flight number 1853 for the past 50 days.

Number of passengers on Flight 1853 |
Frequency (days) |
Relative Frequency |
Cumulative Relative Frequency |

50 to 59 |
5 |
||

60 to 69 |
13 |
||

70 to 79 |
17 |
||

80 to 89 |
7 |
||

90 to 99 |
6 |
||

100 to 109 |
2 |

Use this data to construct a **relative frequency**
and **cumulative relative frequency**distribution.
Report all of your answers in the table above to 2 decimal places,
using conventional rounding rules.

What **percent** of the days are there less than 90
passengers on Flight 1853? Report your final answer to 2 decimal
places, using conventional rounding rules.

ANSWER: %

What **proportion** of the days are there 60 – 69
passengers on Flight 1853? Report your final answer to 2 decimal
places, using conventional rounding rules.

ANSWER:

What **percent** of the days are there no more than
79 passengers on Flight 1853? Report your final answer to 2 decimal
places, using conventional rounding rules.

ANSWER: %

What is the approximate mean number of passengers on Flight 1853? Report your final answer to 2 decimal places, using conventional rounding rules.

ANSWER:

What is the approximate variance of the number passengers on Flight 1853? Report your final answer to 2 decimal places, using conventional rounding rules.

ANSWER:

What is the midpoint of the class interval with the largest frequency? Report your final answer to 2 decimal places, using conventional rounding rules.

ANSWER:

Answer #1

The following frequency distribution shows the number of
passengers who flew on a small regional aircraft company’s flight
number 1853 for the past 50 days.
Number of passengers
on Flight 1853
Frequency (days)
Relative Frequency
Cumulative
Relative
Frequency
50 to 59
4
60 to 69
11
70 to 79
15
80 to 89
9
90 to 99
8
100 to 109
3
Use this data to construct a relative frequency
and cumulative relative frequency distribution.
Report all of your answers...

The entire home mortgage process has several parts, including
getting pre-approved, getting the home appraised, and getting the
actual loan. According to a study conducted by
Realtor.com, in a normal market, this process takes 30
days on average, with a standard deviation of 5.75 days. The number
of days to complete the entire home mortgage process is normally
distributed.
a)The probability that a single
mortgage loan selected at random will take less than 27 days to
process is ______
(Report...

Approximate the mean for following frequency table.
Data
Frequency
60 - 64
13
65 - 69
22
70 - 74
13
75 - 79
7
80 - 84
5
85 - 89
4
90 - 94
2
95 - 99
1
100 - 104
1
mean =
Report answer accurate to one decimal place.
Approximate the mean for following GFDT.
Data
Frequency
50 - 54
1
55 - 59
4
60 - 64
5
65 - 69
14
70 -...

The total amount of time it takes a JC Auto Repair mechanic to
complete a full-service, 16-point oil change is distributed as a
uniform random variable, ranging from 18 to 32 minutes.
What is the standard deviation of service time?
Report your answer to 2 decimal places using
conventional rounding rules.
ANSWER:
What is the probability that the amount of time to complete a
full service, 16-point oil change will be less than 28 minutes?
Report your answer to 4...

The total amount of time it takes a JC Auto Repair mechanic to
complete a full-service, 16-point oil change is distributed as a
uniform random variable, ranging from 18 to 32 minutes.
What is the standard deviation of service time?
Report your answer to 2 decimal places using
conventional rounding rules.
ANSWER:
What is the probability that the amount of time to complete a
full service, 16-point oil change will be less than 28 minutes?
Report your answer to 4...

Crain's Cleveland Business is one of Northeast Ohio's
leading source of business news, analysis and commentary.
Crain’s Cleveland Business surveyed their readers and
asked how each rated the quality of management and the reputation
of the company for over 100 worldwide corporations. Both the
quality of management and the reputation of the company were rated
on an excellent, good, and fair categorical scale. Assume the
sample data for 250 respondents below applies to this study.
Company Reputation
Quality of Management...

A manufacturing company measures the weight of boxes before
shipping them to the customers. The box weights have a population
mean and standard deviation of 86 lbs. and 16 lbs.
respectively.
a. Based on a sample size of 64 boxes, the probability that the
average weight of the boxes will exceed 90.3 lbs. is .
Use only the appropriate formula and/or statistical
table in your textbook to answer this question. Report your answer
to 4 decimal places, using conventional rounding...

Speedway LLC is an American convenience store and gas station
chain headquartered in Enon, Ohio, with locations primarily in the
Midwest and the East Coast regions of the United States. The amount
of regular unleaded gasoline sold at the Speedway gas station in
Macedonia, OH is distributed as a uniform random variable between
1,200 and 3,450 gallons each day.
What is the probability that this Speedway gas station will sell
more than 2,000 gallons of regular unleaded gasoline today?
ANSWER: ....

Item Bazaar is an internet-based business and advertises that it
fulfills customers’ orders in less than 3 business days.
Periodically, the operations manager selects a random sample of
customer orders and determines the number of business days required
to fill the orders. On one occasion when a sample of 44 orders was
selected, the average number of business days was 2.80. Based on
extensive data from similar companies, the population standard
deviation is known to be equal to 0.75 days....

The Airline Passenger Association studied the relationship
between the number of passengers on a particular flight and the
cost of the flight. It seems logical that more passengers on the
flight will result in more weight and more luggage, which in turn
will result in higher fuel costs. For a sample of 8 flights, the
correlation between the number of passengers and total fuel cost
was 0.685.
State the decision rule for 0.01 significance level:
H0: ρ ≤ 0; H1:...

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