/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} 88E Is honey a cough remedy? Refer t... [FREE SOLUTION] | 91影视

91影视

Is honey a cough remedy? Refer to the Archives of Pediatrics and Adolescent Medicine (Dec. 2007) study of honey as a children鈥檚 cough remedy, Exercise 8.23 (p. 470). The data (cough improvement scores) for the 33 children in the DM dosage group and the 35 children in the honey dosage group are reproduced in the table below. In Exercise 8.23, you used a comparison of two means to determine whether 鈥渉oney may be a preferable treatment for the cough and sleep difficulty associated with childhood upper respiratory tract infection.鈥 The researchers also want to know if the variability in coughing improvement scores differs for the two groups. Conduct the appropriate analysis, using =0.10

Short Answer

Expert verified

we reject the null hypothesis.

Step by step solution

01

Specifying the hypothesis

Let 1 be the mean improvement for children receiving the honey dosage.

Let 2 be the mean improvement for children receiving the DM dosage.

The null hypothesis are given by

H0:1-2=0

The alternative hypothesis are given by

Ha:1-2>0

02

Compute mean and standard deviation

The mean for first group is given by

x1=i=1nXin=37535=10.71

The mean for second group is given by

x2=i=1nXin=27533=8.33

The sd for first group is given by

sd=i=1n(Xi-X)2n-1=277.143534=8.1512=2.85

The sd for second group is given by

sd=i=1n(Xi-X)2n-1=339.333732=10.60=3.255

03

Test statistic

The test statistic is computed as

z=x1-x2-012n1+22n2=10.71-8.332.85235+3.255233=2.380.232+0.321=2.38.7436=3.200

04

Conclusion

For =0.10

Rejection region for right tailed test is given by

z=z0.10=1.282

The test statistic is greater than tabulated value. i.e. the calculated value falls in rejection region.

Therefore, we reject the null hypothesis.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91影视!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Identify the rejection region for each of the following cases. Assume

v1=7andv2=9

a. Ha:蟽12&濒迟;蟽22,伪=.05

b. Ha:蟽12&驳迟;蟽22,伪=.01

c. Ha:蟽1222,伪=.1withs12>s22

d. Ha:蟽12&濒迟;蟽22,伪=.025

Vulnerability of counting party Web spots. When you subscribe to your Facebook account, you're granted access to further. Then 1 million counting parties (RP) Web spots. Vulnerabilities in this sign-on system may permit a bushwhacker to gain unauthorized access to your profile, allowing the bushwhacker to impersonate you on the RP Web point. Computer and systems Masterminds delved into the vulnerability of counting party Web spots and presented their results at the Proceedings of the 5th AMC Factory on Computers & Communication Security (October 2012). RP Web spots were distributed as Gar莽on- inflow or customer- inflow Web spots. Of the 40 gar莽on- inflow spots studied, 20 were planted to be vulnerable to impersonation attacks. Of the 54 customer-inflow spots examined, 41 were. Plant to be vulnerable to impersonation attacks. Give your opinion on whether a customer- inflow Web point is more likely to be vulnerable to an impersonation attack than a gar莽on- inflow Website. However, how much more likely? If so.

Question: Impact of race on football card values. Refer to the Electronic Journal of Sociology (2007) study of the Impact of race on the value of professional football players鈥 鈥渞ookie鈥 cards, Exercise 12.72 (p. 756). Recall that the sample consisted of 148 rookie cards of NFL players who were inducted into the Football Hall of Fame (HOF). The researchers modelled the natural logarithm of card price (y) as a function of the following independent variables:

Race:x1=1ifblack,0ifwhiteCardavailability:x2=1ifhigh,0iflowCardvintage:x3=yearcardprintedFinalist:x4=naturallogarithmofnumberoftimesplayeronfinalHOFballotPosition-QB::x5=1ifquarterback,0ifnotPosition-RB:x7=1ifrunningback,0ifnotPosition-WR:x8=1ifwidereceiver,0ifnotPosition-TEx9=1iftightend,0ifnotPosition-DL:x10=1ifdefensivelineman,0ifnotPosition-LB:x11=1iflinebacker,0ifnotPosition-DB:x12=1ifdefensiveback,0ifnot

[Note: For position, offensive lineman is the base level.]

  1. The model E(y)=0+1x1+2x2+3x3+4x4+5x5+6x6+7x7+8x8+9x9+10x10+11x11+12x12 was fit to the data with the following results:R2=0.705,Ra2=0.681,F=26.9.Interpret the results, practically. Make an inference about the overall adequacy of the model.
  2. Refer to part a. Statistics for the race variable were reported as follows:^1=-0.147,s^1=-0.145,t=-1.014,p-value=0.312 .Use this information to make an inference about the impact of race on the value of professional football players鈥 rookie cards.
  3. Refer to part a. Statistics for the card vintage variable were reported as follows:^3=-0.074,s^3=0.007,t=-10.92,p-value=.000.Use this information to make an inference about the impact of card vintage on the value of professional football players鈥 rookie cards.
  4. Write a first-order model for E(y) as a function of card vintage x3and position x5-x12that allows for the relationship between price and vintage to vary depending on position.

Independent random samples from normal populations produced the results shown in the next table.

Sample 1


Sample 2

1.23.11.72.83.0

4.22.73.63.9

a. Calculate the pooled estimate of 2.

b. Do the data provide sufficient evidence to indicate that 2&驳迟;渭1? Test using 伪=.10.

c. Find a 90% confidence interval for (12).

d. Which of the two inferential procedures, the test of hypothesis in part b or the confidence interval in part c, provides more information about (12)?

The 鈥渓ast name鈥 effect in purchasing. The Journal of Consumer Research (August 2011) published a study demonstrating the 鈥渓ast name鈥 effect鈥攊.e., the tendency for consumers with last names that begin with a later letter of the alphabet to purchase an item before consumers with last names that begin with earlier letters. To facilitate the analysis, the researchers assigned a number, x, to each consumer based on the first letter of the consumer鈥檚 last name. For example, last names beginning with 鈥淎鈥 were assigned x = 1; last names beginning with 鈥淏鈥 were assigned x = 2; and last names beginning with 鈥淶鈥 were assigned x = 26.

a. If the first letters of consumers鈥 last names are equally likely, find the probability distribution for x.

b. Find E (x) using the probability distribution, part a. If possible, give a practical interpretation of this value.?

c. Do you believe the probability distribution, part a, is realistic? Explain. How might you go about estimating the true probability distribution for x

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.