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Latex allergy in health care workers. Refer to the Current Allergy & Clinical Immunology (March 2004) study of health care workers who use latex gloves, Exercise 6.112 (p. 375). In addition to the 46 hospital employees who were diagnosed with a latex allergy based on a skin-prick test, another 37 health care workers were diagnosed with the allergy using a latex-specific serum test. Of these 83 workers with confirmed latex allergy, only 36 suspected that they had the allergy when asked on a questionnaire. Make a statement about the likelihood that a health care worker with latex allergy suspects he or she actually has the allergy. Attach a measure of reliability to your inference.

Short Answer

Expert verified

It is 95% confident that the proportion of health care workers with a latex allergy suspect their allergy is between 0.32712 and 0.54011.

Step by step solution

01

Given information

Let x be the number of workers who had allergies they suspected on the questionnaire.

So, x = 36

Also, the total numbers of workers are 83. That is, n = 83

02

Calculating the confidence interval

Since, out of 83 workers with confirmed latex allergy, only 36 suspected that they had the allergy.

Therefore, the proportion is given as,

p=3683=0.4337

03

Confidence Interval

The confidence interval for proportion is given by,

p±zα2×p(1-p)n

Now, from the standard normal table, the value zα2for a 95% confidence level is 1.96.

Therefore,

p±zα2×p1-pn=0.4337±1.96×0.43371-0.433783=0.4337±1.96×0.4337×0.566783=0.4337±0.10662

=0.4337-0.10662,0.4337+0.10662=0.32712,0.54054

Therefore, it is 95% confident that the proportion of health care workers with a latex allergy suspects their allergy is between 0.32712 and 0.54011.

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Most popular questions from this chapter

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

Question: The purpose of this exercise is to compare the variability of with the variability of .

a. Suppose the first sample is selected from a population with mean and variance . Within what range should the sample mean vary about of the time in repeated samples of measurements from this distribution? That is, construct an interval extending standard deviations of on each side of .

b. Suppose the second sample is selected independently of the first from a second population with mean and variance . Within what range should the sample mean vary about the time in repeated samples of measurements from this distribution? That is, construct an interval extending standard deviations on each side .

c. Now consider the difference between the two sample means . What are the mean and standard deviation of the sampling distribution ?

d. Within what range should the difference in sample means vary about the time in repeated independent samples of measurements each from the two populations?

e. What, in general, can be said about the variability of the difference between independent sample means relative to the variability of the individual sample means?

Gouges on a spindle. A tool-and-die machine shop produces extremely high-tolerance spindles. The spindles are 18-inch slender rods used in a variety of military equipment. A piece of equipment used in the manufacture of the spindles malfunctions on occasion and places a single gouge somewhere on the spindle. However, if the spindle can be cut so that it has 14 consecutive inches without a gouge, then the spindle can be salvaged for other purposes. Assuming that the location of the gouge along the spindle is random, what is the probability that a defective spindle can be salvaged?

Two populations are described in each of the following cases. In which cases would it be appropriate to apply the small-sample t-test to investigate the difference between the population means?

a.Population 1: Normal distribution with variance σ12. Population 2: Skewed to the right with varianceσ22=σ12.

b. Population 1: Normal distribution with variance σ12. Population 2: Normal distribution with variance σ22σ12.

c. Population 1: Skewed to the left with variance σ12. Population 2: Skewed to the left with varianceσ22=σ12.

d. Population 1: Normal distribution with varianceσ12 . Population 2: Normal distribution with varianceσ22=σ12 .

e. Population 1: Uniform distribution with varianceσ12 . Population 2: Uniform distribution with variance σ22=σ12.

Question: Find the following probabilities for the standard normal random variable z:

a.P(z>1.46)b.P(z<-1.56)c.P(.67z<2.41)d.P(-1.96z-.33)e.P(Z0)f.P(-2.33<z<1.50)

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