Question

According to the Bureau of Transportation Statistics, on-time performance by airlines is described as follows:

Action | % of time |

On Time | 69 |

National Aviation System Delay | 8 |

Aircraft arriving late | 10 |

Other (weather and other conditions) | 13 |

When a study was conducted it was found that of the 233 randomly
selected flights, 163 were on time, 21 were a National Aviation
System Delay, 23 arriving late , 26 were due to weather. Perform a
test to see if there is sufficient evidence at αα = 0.10 to see if
these differ from the governments statistics.

The correct hypotheses are:

- H0:H0: The sample is a good fit to the Bureau of Transportation Statistics. HA:HA: The sample is not a good fit to the Bureau of Transportation Statistics.(claim)
- H0:H0: The sample is not a good fit to the Bureau of Transportation Statistics. HA:HA: The sample is a good fit to the Bureau of Transportation Statistics.(claim)
- H0:H0: The sample and the Bureau of Transportation Statistics are independent. HA:HA: The sample and the Bureau of Transportation Statistics are dependent.(claim)
- H0:H0: The sample and the Bureau of Transportation Statistics are dependent. HA:HA: The sample and the Bureau of Transportation Statistics are independent.(claim)

The test value is (round to 3 decimal places)

The p-value is (round to 3 decimal places)

The correct decision is to

- reject H0H0
- do not reject H0H0

The final conclusion is

- There is enough evidence to reject the claim.
- There is not enough evidence to reject the claim.
- There is enough evidence to support the claim.
- There is not enough evidence to support the claim.

Answer #1

The statistical software output for this problem is:

From above output:

Hypotheses: H0:H0: The sample is a good fit to the Bureau of
Transportation Statistics. HA:HA: The sample is not a good fit to
the Bureau of Transportation Statistics.(claim) **Option
A** is correct.

Test value = **0.941**

p - Value = **0.816**

**Do not reject Ho**

Conclusion: **Option D** is correct.

According to the Transportation Bureau, 22% of flights in the
U.S. failed to arrive on time (more than 15 minutes late) in 2009.
A recent random sample of 800 flights is taken and 184 of them
failed to arrive on time. Test at the 0.01 level of significance
whether the current percentage of U.S. flights that arrive late
exceeds 22%.
(a) State the null and alternative hypotheses. H0:p H a : p
(b) Calculate the test statistic. (Round to 3...

Researchers at P University and W State University found that
airlines are doing a better job of getting passengers to their
destinations on time.† AirTran Airways and Southwest Airlines were
among the leaders in on-time arrivals with both having 88% of their
flights arriving on time. But for the 12% of flights that were
delayed, how many minutes were these flights late? Sample data
showing the number of minutes that delayed flights were late are
provided in the file named...

A manager wishes to see if the time (in minutes) it takes for
their workers to complete a certain task is faster if they are
wearing earbuds. A random sample of 20 workers' times were
collected before and after wearing earbuds. Test the claim that the
time to complete the task will be faster, i.e. meaning has
production increased, at a significance level of α = 0.01 For the
context of this problem, μD = μbefore−μafter where the first data...

home / study / math / statistics and probability / statistics
and probability questions and answers / 23. construct a 95%
confidence interval for data sets a and b. data sets a and b are
dependent. ...
Question: 23. Construct a 95% confidence interval for data sets
A and B. Data sets A and B are dependent. ...
23. Construct a 95% confidence interval for data sets A and B.
Data sets A and B are dependent. Round to the...

A high school principal was concerned about the time his
students were spending too much on internet in a week He randomly
selected 50 students and found that mean time on internet was home
work was 52.58 hours. Assume that the population standard deviation
was 10.2 hrs. Use alpha:=0.10α = 0.10 to test his claims that his
students spend significantly more than 50 hours in a week. In this
case, null hypothesis H0 is In this case, Test statistics TS...

The National Health Statistics Reports described a study in
which a sample of 354 one-year-old baby boys were weighed. Their
mean weight was 25.8 pounds with standard deviation 5.3 pounds. A
pediatrician claims that the mean weight of one-year-old boys is
greater than 25 pounds. Do the data provide convincing evidence
that the pediatrician's claim is true? Use the α=0.05 level of
significance and the P-value method with the TI-84 Plus
calculator.
a. state null and alternative hypothesis. what tail...

1. A city official claims that the proportion of all commuters
who are in favor of an expanded public transportation system is
50%. A newspaper conducts a survey to determine whether this
proportion is different from 50%. Out of 225 randomly chosen
commuters, the survey finds that 90 of them reply yes when asked if
they support an expanded public transportation system. Test the
official’s claim at α = 0.05.
2. A survey of 225 randomly chosen commuters are asked...

Review and submit the Donatos: Finding the New Pizza
case study below. Answer the following two questions:
2. Evaluate the Wassup meeting as an exploratory methodology to
help define the research question.
4. What measurement scales would you have used on the survey that
was part of the in-restaurant product tests?
Abstract and Written Case:
The pizza segment of the fast-food industry is very aggressive.
As people’s tastes change and new diets become the rage, restaurant
chains must decide if...

Sign In
INNOVATION
Deep Change: How Operational Innovation Can Transform Your
Company
by
Michael Hammer
From the April 2004 Issue
Save
Share
8.95
In 1991, Progressive Insurance, an automobile insurer based in
Mayfield Village, Ohio, had approximately $1.3 billion in sales. By
2002, that figure had grown to $9.5 billion. What fashionable
strategies did Progressive employ to achieve sevenfold growth in
just over a decade? Was it positioned in a high-growth industry?
Hardly. Auto insurance is a mature, 100-year-old industry...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 5 minutes ago

asked 23 minutes ago

asked 27 minutes ago

asked 27 minutes ago

asked 34 minutes ago

asked 35 minutes ago

asked 39 minutes ago

asked 44 minutes ago

asked 46 minutes ago

asked 46 minutes ago

asked 52 minutes ago

asked 58 minutes ago