Does the test result Provide sufficient evidence that light alcohol consumption has a negative impact on the driving performance of a sleep deprived driver. Why or why not MNA813F1...260DrivingA research team studied the relationship between light alcohol consumption anddriving when the driver is already sleep deprived. 62 men were recruited andasked to complete a simulated two-hour highway drive in the lab. They wererandomly assigned to two treatment groups. Each group has 31 men. In the firstgroup, the participants drank a glass of beer before driving. In the second group,the participants drank a glass of water before driving. The computer recordedhow many times a driver drifted out of the lane. The night before their visit to thelab, all 62 participants restricted their sleep time to no more than 5 hours.See below for the summary statistics of the data. Let X be the number of times adriver drifts out of the lane during the simulated 2-hour highway drive. Let S bethe sample standard deviation of X.First treatment group1-32S1-3.7۲W ....Second treatment groupT2=18xSS2=2.9Use a hypothesis test at 0.05 significance level to answer the question: does lightalcohol consumption (having one glass of beer) have a negative impact on thedriving performance of a sleep-deprived driver? Assume that the conditions forhypothesis testing are met.F2X3 ×mmandtoS >>> DL#3E80F3isي$49.7R3F{F4G:11:J. >CisVHome bartleby%5L0TDGF5^6103.JBrYiMacBook AirHز84&7غ29. UAdF7J JJN!* 00J0: W12ptعt12ptCompute the test statistic. Please show your work.(Y 8 A 912ptDIIF8B I UBKؤ Mb66"XSKNDoes the test result provide sufficient evidence that light alcohol consumptionhas a negative impact on the driving performance of a sleep-deprived driver? whyor why not?BIU А - A TX²ParagraphCD9ParagraphA Y A T3I U AParagraph9C.VDDF9H) (O2.AYSMP用⠀~commandTxVF10..A1 {C(1V.altF11أى ;fxfx?optionX+ 11[で]S1 1x²x₂ E!!!!!!F12: 13S.!!!0¹date:Ddelete↑RE

from given data We have : For first treatment group : n1=31, Mean of first treatment group = x1=32,…

Answered: Compute the test statistic. Please show…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A research study examining differences in the effectiveness of three treatment conditions in combatting anxiety has three levels. True False
Data was collected at a tennis court. It showed that being older implies that a player will stay for a shorter length of time. What is likely true? O There is no correlation between age and length of stay. O There is a correlation between age and length of stay. There may or may not be causation. Further studies would have to be done to determine this. O There is a correlation between age and length of stay. However, there is no causation. This is because there is a decrease in the length of stay with an increase in age.
Olivia sees that in her data there is a relationship between regular exercise and a range of health outcomes, with those doing exercise having better outcomes. Olivia can claim which of the following statements A. there is evidence of a correlation between regular exercise and health outcomes in her group of UTS academics B. there is evidence of a causal relationship between regular exercise and health outcomes in the population of UTS academics C. there is evidence of a causal relationship between regular exercise and health outcomes in her group of UTS academics D. there is evidence of a correlation between regular exercise health outcomes in the population of UTS academics O She can claim only statement A O She can claim only statement C She can claim all statements O She can claim statements A and C O She can claim statements A and D She can claim statements B and C
Find an interesting instance where two variables are strongly correlated, but share no causal link. Explain the situation, describe the variables, and explain why it doesn't make sense for the data to be correlated.
A two-factor study investigates the effects of self-esteem (low vs. high) and gender (males vs. females) on anxiety scores. The following data represents the means for each treatment condition. Low self-esteem High self-esteem Male 5 11 Female 10 3 The data shows that there is a self-esteem by gender interaction. Explain the self-esteem by gender interaction (include individual means in your explanation)
A researcher gathered a sample of participants who volunteered for a studying of phobias. She measured anxiety level of participants as they viewed photos of spiders and again when they viewed puppies. Which statistical test is appropriate for this study and why?
Now that you know correlation doesn’t equal causation, you know that eating fast food doesn’t necessarily cause poor test performance. What are some alternative explanations for the negative correlation between children’s fast-food consumption and low test scores?
The question is…are pre and post shows a dependent test or an independent test? Explain why.
Does "correlation imply causation"? Give one example in which a variable X ispositively correlated with another variable Y, but we cannot deduce that X causes Y.
In an observational study it was found that people who had received the flu shot this year had better blood pressure readings, on average, than people who did not. Can it be claimed that the flu shot is the cause of the lower overall blood pressure? Why or why not?
Ms. Long studied her students' physics test scores and sleeping habits. She found that students who slept less tended to earn lower scores on the test. What conclusion should she make? There is no correlation between test score and amount of sleep. There is a correlation between test score and amount of sleep. There is probably also causation. This is because there is a decrease in a student's test score with a decrease in the amount of sleep. There is a correlation between test score and amount of sleep. There may or may not be causation. Further studies would have to be done to determine this.
. Differentiate between correlation vs. causation. When two variables are correlated (such as strength and running speed), they are associated with one another. Explain how, even if there is a correlation between the two, one might not cause the other. Provide an example of an association between variables where a causal relationship makes sense conceptually. Why can't correlations be used as a tool to prove a causal relationship between variables rather than just an association?

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

Compute the test statistic. Please show your work. 12pt BIUA Paragraph Y ▾ Y Y LE X !!! fami 111 --0-3 Does the test result provide sufficient evidence that light alcohol consumption has a negative impact on the driving performance of a sleep-deprived driver? why or why not?