Acidity of mouthwash. Acid is a primary cause of dental caries (cavities). It is theorized that oral mouthwashes contribute to caries development due to the antiseptic agent oxidizing into acid over time. This theory was tested in the Journal of Dentistry, Oral Medicine, and Dental Education (Vol. 3, 2009). Three bottles of mouthwash, each of a different brand, were randomly selected from a drugstore. Each bottle's pH level (where lower pH levels indicate higher acidity) was measured on the date of purchase and after 30 days. The data are shown in the table on the next page. Conduct an analysis to determine if mouthwash's mean initial pH level differs significantly from the mean pH level after 30 days. Use a = .05 as your level of significance.

Source: Based on K. L. Chunhye and B. C. Schmitz, "Determination of pH, Total Acid, and Total Ethanol in Oral Health Products: Oxidation of Ethanol and Recommendations to Mitigate Its Association with Dental Caries," Journal of Dentistry, Oral Medicine and Dental Education, Vol. 3, No. 1, 2009 (Table 1)

Short Answer

Expert verified

a0.1106bt=2.92

Step by step solution

01

Given data

d=x-4

To test the hypothesis:

H0:μd=0v/sH1:μd>0

To find the value, " prepare the table as follows:

d¯=Edn=0.563=0.1867where n = 3

Sd=d¯i-d¯2=0.02452=0.1106

02

Test statistics

t=d¯Sd/nt=0.18670.1106/3t=2.9229

Critical value: 5% Significance level tn-1,λt3-1,0.05=2.92

H0reject at a 5% significance level.

There is enough data to establish that the average acidity level in mouthwash rose throughout 30 days.

The fundamental premise is that PH levels should be regularly distributed, and observations should be presented as matched pairs.

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Most popular questions from this chapter

In a random sample of 250 people from a city, 148 of them favor apples over other fruits.

a. Use a 90% confidence interval to estimate the true proportion p of people in the population who favor apples over other fruits.

b. How large a sample would be needed to estimate p to be within .15 with 90% confidence?

Question: Summer weight-loss camp. Camp Jump Start is an 8-week summer camp for overweight and obese adolescents. Counselors develop a weight-management program for each camper that centers on nutrition education and physical activity. To justify the cost of the camp, counselors must provide empirical evidence that the weight-management program is effective. In a study published in Paediatrics (April 2010), the body mass index (BMI) was measured for each of 76 campers both at the start and end of camp. Summary statistics on BMI measurements are shown in the table.

Source: Based on J. Huelsing, N. Kanafani, J. Mao, and N. H. White, "Camp Jump Start: Effects of a Residential Summer Weight-Loss Camp for Older Children and Adolescents," Pediatrics, Vol. 125, No. 4, April 2010 (Table 3).

a. Give the null and alternative hypotheses for determining whether the mean BMI at the end of camp is less than the mean BMI at the start of camp.

b. How should the data be analyzed, as an independent samples test or as a paired difference test? Explain.

c. Calculate the test statistic using the formula for an independent samples test. (Note: This is not how the test should be conducted.)

d. Calculate the test statistic using the formula for a paired difference test.

e. Compare the test statistics, parts c and d. Which test statistic provides more evidence in support of the alternative hypothesis?

f. The p-value of the test, part d, was reported as p 6 .0001. Interpret this result, assuming a = .01.

g. Do the differences in BMI values need to be normally distributed in order for the inference, part f, to be valid? Explain.

h. Find a 99% confidence interval for the true mean change in BMI for Camp Jump Start campers. Interpret the result.

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?

Find the numerical value of

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Buy-side vs. sell-side analysts' earnings forecasts. Refer to the Financial Analysts Journal (Jul. /Aug. 2008) study of financial analysts' forecast earnings, Exercise 2.86 (p. 112). Recall that data were collected from 3,526 buy-side analysts and 58,562forecasts made by sell-side analysts, and the relative absolute forecast error was determined for each. The mean and standard deviation of forecast errors for both types of analysts are given in the table.

a. Construct a 95% confidence interval for the difference between the mean forecast error of buy-side analysts and the mean forecast error of sell-side analysts.

b. Based on the interval, part a, which type of analysis has the greater mean forecast error? Explain.

c. What assumptions about the underlying populations of forecast errors (if any) are necessary for the validity of the inference, part b?

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