Refer to the Archives of Paediatrics and Adolescent Medicine (Dec. 2007) study of honey as a children’s cough remedy, Exercise 2.31 (p. 86). Children who were ill with an upper respiratory tract infection and their parents participated in the study. Parents were instructed to give their sick child dosage of liquid “medicine” before bedtime. Unknown to the parents, some were given a dosage of dextromethorphan (DM)—an over-the-counter cough medicine—while others were given a similar dose of honey. (Note: A third group gave their children no medicine.) Parents then rated their children’s cough symptoms, and the improvement in total cough symptoms score was determined for each child. The data (improvement scores) for the 35 children in the DM dosage group and the 35 in the honey dosage group are reproduced in the next table. Do you agree with the statement (extracted from the article), “Honey may be a preferable treatment for the cough and sleep difficulty associated with childhood upper respiratory tract infection”? Use the comparison of the two means methodology presented in this section to answer the question.

The data is given below:

Honey Dosage:

12111511101310415169141061081112128129111510159138121089512

DM Dosage:

469477791210116349781212412137101394410159126

Short Answer

Expert verified

An infection happens when bacteria get into your body and grow, causing sickness. Infections are classified into four types: virus, bacterium, fungus, and parasites.

Step by step solution

01

Step-by-Step Solution Step 1: Calculate the mean and standard deviation of both the groups

The mean and standard deviation of both the groups are

02

Conduct a z-test

Null Hypothesis: There is no difference between the Honey and Control groups.

H0:μ1μ2=0

Alternate Hypothesis: Honey is a preferable treatment. Ha:μ1μ2>0

Level of significance (α)=0.01

z=(x1¯x¯2)(μ1μ2)σ12n1+σ22n2=(10.718.33)0(2.86)235+(3.26)233=2.380.7455=3.19

The critical value is 2.33.

As the value z is more than the critical value, the null hypothesis should be rejected.

Therefore, the data provide sufficient evidence to indicate that μ1μ2>0.

So, honey may be a preferable treatment for the cough and sleep difficulty associated with childhood upper respiratory tract infection.

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Most popular questions from this chapter

Ages of self-employed immigrants. Is self-employment for immigrant workers a faster route to economic advancement in the country? This was one of the questions studied in research published in the International Journal of Manpower (Vol. 32, 2011). One aspect of the study involved comparing the ages of self-employed and wage-earning immigrants. The researcher found that in Sweden, native wage earners tend to be younger than self-employed natives. However, immigrant wage earners tend to be older than self-employed immigrants. This inference was based on the table's summary statistics for male Swedish immigrants.

Self-employed immigrants

Wage-earning immigrants

Sample Size

870

84,875

Mean

44.88

46.79

Source: Based on L. Andersson, "Occupational Choice and Returns to Self-Employment Among Immigrants," International Journal of Manpower, Vol. 32, No. 8, 2011 (Table I).

a. Based on the information given, why is it impossible to provide a measure of reliability for the inference "Self-employed immigrants are younger, on average, than wage-earning immigrants in Sweden"?

b. What information do you need to measure reliability for the inference, part a?

c. Give a value of the test statistic that would conclude that the true mean age of self-employed immigrants is less than the true mean age of wage-earning immigrants if you are willing to risk a Type I error rate of .01.

d. Assume that s, the standard deviation of the ages is the same for both self-employed and wage-earning immigrants. Give an estimate of s that would lead you to conclude that the true mean age of self-employed immigrants is less than the true mean age of wage-earning immigrants using α=0.01 .

e. Is the true value of s likely to be larger or smaller than the one you calculated in part d?

Given that xis a hypergeometric random variable, computep(x)for each of the following cases:

a. N= 8, n= 5, r= 3, x= 2

b. N= 6, n= 2, r= 2, x= 2

c. N= 5, n= 4, r= 4, x= 3

Salmonella in yield. Salmonella infection is the most common bacterial foodborne illness in the United States. How current is Salmonella in yield grown in the major agricultural region of Monterey, California? Experimenters from the U.S. Department of Agriculture (USDA) conducted tests for Salmonella in yield grown in the region and published their results in Applied and Environmental Microbiology (April 2011). In a sample of 252 societies attained from water used to wash the region, 18 tested positive for Salmonella. In an independent sample of 476 societies attained from the region's wildlife (e.g., catcalls), 20 tested positive for Salmonella. Is this sufficient substantiation for the USDA to state that the frequency of Salmonella in the region's water differs from the frequency of Salmonella in the region's wildlife? Use a = .01 to make your decision

Question: Two independent random samples have been selected—100 observations from population 1 and 100 from population 2. Sample means x¯1=26.6,x¯2= 15.5 were obtained. From previous experience with these populations, it is known that the variances areσ12=9andσ22=16 .

a. Find σ(x¯1-x¯2).

b. Sketch the approximate sampling distribution for (x¯1-x¯2), assuming (μ1-μ2)=10.

c. Locate the observed value of (x¯1-x¯2)the graph you drew in part

b. Does it appear that this value contradicts the null hypothesis H0:(μ1-μ2)=10?

d. Use the z-table to determine the rejection region for the test againstH0:(μ1-μ2)10. Useα=0.5.

e. Conduct the hypothesis test of part d and interpret your result.

f. Construct a confidence interval for μ1-μ2. Interpret the interval.

g. Which inference provides more information about the value of μ1-μ2— the test of hypothesis in part e or the confidence interval in part f?

Question: Independent random samples n1 =233 and n2=312 are selected from two populations and used to test the hypothesis Ha:(μ1-μ)2=0against the alternative Ha:(μ1-μ)20

.a. The two-tailed p-value of the test is 0.1150 . Interpret this result.b. If the alternative hypothesis had been Ha:(μ1-μ)2<0 , how would the p-value change? Interpret the p-value for this one-tailed test.
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