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In Exercises 1–4, use the following listed arrival delay times (minutes) for American Airline flights from New York to Los Angeles. Negative values correspond to flights that arrived early. Also shown are the SPSS results for analysis of variance. Assume that we plan to use a 0.05 significance level to test the claim that the different flights have the same mean arrival delay time.

Flight 1

-32

-25

-26

-6

5

-15

-17

-36

Flight 19

-5

-32

-13

-9

-19

49

-30

-23

Flight 21

-23

28

103

-19

-5

-46

13

-3

P-Value If we use a 0.05 significance level in analysis of variance with the sample data given in Exercise 1, what is the P-value? What should we conclude? If a passenger abhors late flight arrivals, can that passenger be helped by selecting one of the flights?

Short Answer

Expert verified

The p-value for the test is 0.285.

The null hypothesis is failed to be rejected at 0.05 level of significance.

The passenger cannot be helped as all flights have statistically the same mean arrival delay time.

Step by step solution

01

Given information

The SPSS output for the arrival delay times, along with the observations of three flights,are given.

02

Identify the p-value

P-value is the probability of obtaininga value as extreme as the test statistic. If the value is large, the chances of rejecting the null hypothesis lower.

From the output table, the value computed in the significance column against the test statistic is the p-value,which is 0.285.

03

Decision rule using the p-value

The decision rule states two criteria:

  • If the p-value is greater than the significance level, the null hypothesis fails to be rejected.
  • If the p-value is lower than the significance level, the null hypothesis is rejected.

The significance level is 0.05. The p-value is larger than 0.05, implying that the null hypothesis would fail to be rejected at a 0.05 level of significance.

The statistical hypothesis for the test is as follows:

Null hypothesis: The mean of arrival delays for all flights is the same.

Alternative hypothesis: The mean of arrival delays for at least one flight differs.

As a result, it can be stated that there is sufficient evidence to conclude that the mean arrival delay for all flights is equal.

04

Explain if one of the flights can be selected

As per the conclusion, the mean arrival delay for all three flights is equal. Thus, no flight is different from the rest based on the arrival delay time.

Thus, it is difficult to help the passenger select one of these flights.

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Most popular questions from this chapter

In Exercises 5–20, conduct the hypothesis test and provide the test statistic and the P-value and, or critical value, and state the conclusion.

Police Calls Repeat Exercise 11 using these observed frequencies for police calls received during the month of March: Monday (208); Tuesday (224); Wednesday (246); Thursday (173); Friday (210); Saturday (236); Sunday (154). What is a fundamental error with this analysis?

Winning team data were collected for teams in different sports, with the results given in the table on the top of the next page (based on data from “Predicting Professional Sports Game Outcomes fromIntermediateGame Scores,” by Copper, DeNeve, and Mosteller, Chance,Vol. 5, No. 3–4). Use a 0.10significance level to test the claim that home/visitor wins are independent of the sport. Given that among the four sports included here, baseball is the only sport in which the home team canmodify field dimensions to favor its own players, does it appear that baseball teams are effective in using this advantage?

Basketball

Baseball

Hockey

Football

Home Team Wins

127

53

50

57

Visiting Team Wins

71

47

43

42

Exercises 1–5 refer to the sample data in the following table, which summarizes the last digits of the heights (cm) of 300 randomly selected subjects (from Data Set 1 “Body Data” in Appendix B). Assume that we want to use a 0.05 significance level to test the claim that the data are from a population having the property that the last digits are all equally likely.

Last Digit

0

1

2

3

4

5

6

7

8

9

Frequency

30

35

24

25

35

36

37

27

27

24

Is the hypothesis test left-tailed, right-tailed, or two-tailed?

Is the hypothesis test described in Exercise 1 right tailed, left-tailed, or two-tailed? Explain your choice.

Critical Thinking: Was Allstate wrong? The Allstate insurance company once issued a press release listing zodiac signs along with the corresponding numbers of automobile crashes, as shown in the first and last columns in the table below. In the original press release, Allstate included comments such as one stating that Virgos are worried and shy, and they were involved in 211,650 accidents, making them the worst offenders. Allstate quickly issued an apology and retraction. In a press release, Allstate included this: “Astrological signs have absolutely no role in how we base coverage and set rates. Rating by astrology would not be actuarially sound.”

Analyzing the Results The original Allstate press release did not include the lengths (days) of the different zodiac signs. The preceding table lists those lengths in the third column. A reasonable explanation for the different numbers of crashes is that they should be proportional to the lengths of the zodiac signs. For example, people are born under the Capricorn sign on 29 days out of the 365 days in the year, so they are expected to have 29/365 of the total number of crashes. Use the methods of this chapter to determine whether this appears to explain the results in the table. Write a brief report of your findings.

Zodiac sign

Dates

Length(days)

Crashes

Capricorn

Jan.18-Feb. 15

29

128,005

Aquarius

Feb.16-March 11

24

106,878

Pisces

March 12-April 16

36

172,030

Aries

April 17-May 13

27

112,402

Taurus

May 14-June 19

37

177,503

Gemini

June 20-July 20

31

136,904

Cancer

July21-Aug.9

20

101,539

Leo

Aug.10-Sep.15

37

179,657

Virgo

Sep.16-Oct.30

45

211,650

Libra

Oct.31-Nov 22

23

110,592

Scorpio

Nov. 23-Nov. 28

6

26,833

Ophiuchus

Nov.29-Dec.17

19

83,234

Sagittarius

Dec.18-Jan.17

31

154,477

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