Question

In: Math

Suppose a group is interested in determining whether teenagers obtain their drivers licenses at approximately the...

Suppose a group is interested in determining whether teenagers obtain their drivers licenses at approximately the same average age across the country. Suppose that the following data are randomly collected from five teenagers in each region of the country. The numbers represent the age at which teenagers obtained their drivers licenses. Use a level of significance of 0.10.

Northeast      South           West            Central

16.3              16.9              16.4              16.2    

16.1              16.5              16.5              16.6    

16.4              16.4              23.0              16.5    

16.5              16.2              20.2              16.4   

What test are you going to run?

One mean t-test

One mean z-test

Chi-Square Goodness of Fit

ANOVA

Question 2

What is the null hypothesis?

Question 2 options:

The mean ages for teenagers obtaining their drivers licenses are approximately the same average age across the country.

At least one of the mean ages for teenagers obtaining their drivers licenses is different from the average age across the country.

Question 3

What is the alternative hypothesis?

Question 3 options:

At least one of the mean ages for teenagers obtaining their drivers licenses is different from the average age across the country.

The mean ages for teenagers obtaining their drivers licenses are approximately the same average age across the country.

Question 4

What is test statistic? Please answer with two decimal places.

Question 5

What is the p-value? Please answer with three decimal places.

Question 6

What is your conclusion based on the p-value and the level of significance?

Question 6 options:

Reject the null hypothesis

Fail to reject the null hypothesis

Question 7

What is the proper conclusion?

Question 7 options:

At the 0.10 level of significance, the mean ages for teenagers obtaining their drivers licenses are approximately the same average age across the country.

At the 0.10 level of significance, at least one of the mean ages for teenagers obtaining their drivers licenses is different from the average age across the country.

Solutions

Expert Solution

For the given data using Anova single factor in Excel we get output as

Anova: Single Factor
SUMMARY
Groups Count Sum Average Variance
Northeast 4 65.3 16.325 0.029167
South 4 66 16.5 0.086667
west 4 76.1 19.025 10.14917
Central 4 65.7 16.425 0.029167
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups 20.47188 3 6.823958 2.651583 0.096282 2.605525
Within Groups 30.8825 12 2.573542
Total 51.35438 15

Question 1

Answer : ANOVA

Question 2

Answer : The mean ages for teenagers obtaining their drivers licenses are approximately the same average age across the country.

Question 3

Answer : At least one of the mean ages for teenagers obtaining their drivers licenses is different from the average age across the country.

Question 4

Answer : test statistic = 2.65

Question 5

Answer : p-value = 0.096

Question 6

Answer : Reject the null hypothesis

Question 7

Answer :

At the 0.10 level of significance, at least one of the mean ages for teenagers obtaining their drivers licenses is different from the average age across the country.


Related Solutions

Suppose a group is interested in determining whether teenagers obtain their drivers licenses at approximately the...
Suppose a group is interested in determining whether teenagers obtain their drivers licenses at approximately the same average age across the country. Suppose that the following data are randomly collected from five teenagers in each region of the country. The numbers represent the age at which teenagers obtained their drivers licenses. Use a level of significance of 0.10. Northeast      South           West            Central 16.3              16.9              16.4              16.2    16.1              16.5              16.5              16.6    16.4              16.4              23.0              16.5    16.5              16.2              20.2              16.4    What...
Suppose that you are interested in determining whether "consumption depends on income" or whether "income depends...
Suppose that you are interested in determining whether "consumption depends on income" or whether "income depends on consumption."   Which of the following would be most relevant? Group of answer choices t-test F-test Chi-square test double-blind test Granger test
Suppose that you are interested in determining whether the advice given by a physician during a...
Suppose that you are interested in determining whether the advice given by a physician during a routine physical examination is effective in encouraging patients to stop smoking. In a study of current smokers, one group of patients was given a brief talk about the hazards of smoking and was encouraged to quit. A second group received no advice pertaining to smoking. All patients were given a follow-up exam. In the sample of 114 patients who had received the advice, 11...
Suppose that a health researcher is interested in determining whether the distance between the patient’s residence...
Suppose that a health researcher is interested in determining whether the distance between the patient’s residence and source of care, and # of disability days significantly predict the number of visits at a local hospital. Visits Distance Disability days 7 1 8 7 1 9 2 10 1 4 4 3 5 2 5 3 9 2 2 10 1 9 2 10 6 3 7 2 11 2 4 2 3 7 2 8 3 14 2 2 16...
1. Suppose that you are interested in determining whether the advice given by a physician during...
1. Suppose that you are interested in determining whether the advice given by a physician during a routine physical examination is effective in encouraging patients to stop smoking. In a study of current smokers, one group of patients was given a brief talk about the hazards of smoking and was encouraged to quit. A second group received no talk related to smoking. All patients were given a follow-up exam. In the sample of 150 patients who had received the talk,...
the leaders of the study are interested in the determining whether there is a difference in...
the leaders of the study are interested in the determining whether there is a difference in mean annual contributions for individuals covered by TSA's and those with 401(k) retirements program. you can use the results form the following table to test if the population mean of individual covered by TSAs is higher than those covered by 401(k). TSA    401(K) n1 = 8    n2=10 x1= 322.5 x2=298.3 s1=48.3 s2= 53.3 1. Formulate the appropriate null and alternative hypotheses 2....
1) Driving cars and generating energy produces many pollutants. Suppose you are interested in determining whether...
1) Driving cars and generating energy produces many pollutants. Suppose you are interested in determining whether exposure to one pollutant, sulfur dioxide (SO2), has an effect on human health (health). You also suspect that older people are more affected and people with higher incomes can invest in health insurance to reduce their risk and exposure. Note, the variables in your data are health outcomes (health), exposure to SO2, income, and age. a) Write down a multiple variable regression model that...
A social worker was interested in determining whether there is a significance difference in the average...
A social worker was interested in determining whether there is a significance difference in the average monthly cost per child for childcare outside the home between state supported facilities and privately owned facilities. Two independent random samples yielded the following information: State Supported Facilities (population 1) Privately Owned Facilities (population 2) Sample Size 64 64 Sample Mean 705 675 Standard Deviation 95 80 Which Excel will calculate the test statistic? a. =(705-675)/(SQRT(95/64+80/64)) b. =(705-675)/(SQRT(95^2/8+80^2/8)) c. =(705-675)/(SQRT(95/8+80/8)) d. =(705-675)/(SQRT(95^2/64+80^2/64))
A researcher is interested in determining whether there is a correlation between number of packs of...
A researcher is interested in determining whether there is a correlation between number of packs of cigarettes smoked # packs of cigarettes smoked (X) (Y) 0 80 0 70 1 72 1 70 2 68 2 65 3 69 3 60 4 58 4 55 day and longevity (in years). n=10.
A researcher is interested in determining whether the new design of the training simulator and a...
A researcher is interested in determining whether the new design of the training simulator and a new behavior modification program will affect a student’s learning behavior. Sixty-three (63) students are randomly selected for inclusion in this research project. The students are randomly divided into 9 groups of 7. The group assignments are as follows: Design A Design B Design C No behavior modification 12 18 21 10 16 22 19 27 33 19 23 35 15 26 27 18 22...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT