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Tomato as a taste modifier. Miraculin—a protein naturally produced in a rare tropical fruit—has the potential to be an alternative low-calorie sweetener. In Plant Science (May2010), a group of Japanese environmental scientists investigated the ability of a hybrid tomato plant to produce miraculin. For a particular generation of the tomato plant, the amount x of miraculin produced (measured in micrograms per gram of fresh weight) had a mean of 105.3 and a standard deviation of 8.0. Assume that x is normally distributed.

a. FindP(x>120).

b. FindP(100<x<110).

c. Find the value a for whichP(x<a)=0.25.

Short Answer

Expert verified

a.Px>120=0.0329

b.P(100<x<110)=0.4678

c.a=99.9

Step by step solution

01

Given information

For a particular generation of the tomato plant, the amount x of miraculin produced had a mean of 105.3 and astandard deviation of 8.0.

Assume that x is normally distributed.

02

Probability calculation when P(x>120)

Here, the mean and standard deviation of the random variable x is given by,

μ=105.3andσ=8

a.

Px>120=1-Px<120=1-Pz<1.8375=1-0.9671=0.0329Px>120=0.0329

Therefore, the required probability is 0.0329.

03

Probability calculation when P(100<x<110)

b.

P100<x<110=Px<110-Px<100=Pz<0.5875-Pz<0.6625=Pz<0.5875-P1-Pz<0.6625=0.7224-1-0.7454=0.4678P100<x<110=0.4678

Therefore, the required probability is 0.4678.

04

Probability calculation when P(x<a)=0.25

c.

Px<a=0.25Px-μσ<a-μσ=0.25Pz<a-105.38=0.25Φa-105.38=0.25a-105.38=Φ-10.25a=105.3+8×Φ-10.25a=105.3+8×-0.67449a=99.90408a~99.9

So, the required value of a is 99.9.

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Most popular questions from this chapter

Question: Consumers’ attitudes toward advertising. The two most common marketing tools used for product advertising are ads on television and ads in a print magazine. Consumers’ attitudes toward television and magazine advertising were investigated in the Journal of Advertising (Vol. 42, 2013). In one experiment, each in a sample of 159 college students were asked to rate both the television and the magazine marketing tool on a scale of 1 to 7 points according to whether the tool was a good example of advertising, a typical form of advertising, and a representative form of advertising. Summary statistics for these “typicality” scores are provided in the following table. One objective is to compare the mean ratings of TV and magazine advertisements.

a. The researchers analysed the data using a paired samples t-test. Explain why this is the most valid method of analysis. Give the null and alternative hypotheses for the test.

b. The researchers reported a paired t-value of 6.96 with an associated p-value of .001 and stated that the “mean difference between television and magazine advertising was statistically significant.” Explain what this means in the context of the hypothesis test.

c. To assess whether the result is “practically significant,” we require a confidence interval for the mean difference. Although this interval was not reported in the article, you can compute it using the information provided in the table. Find a 95% confidence interval for the mean difference and interpret the result. What is your opinion regarding whether the two means are “practically significant.”

Source: H. S. Jin and R. J. Lutz, “The Typicality and Accessibility of Consumer Attitudes Toward Television Advertising: Implications for the Measurement of Attitudes Toward Advertising in General,” Journal of Advertising, Vol. 42, No. 4, 2013 (from Table 1)

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 σ2.

b. Do the data provide sufficient evidence to indicate that μ21? Test using α=.10.

c. Find a 90% confidence interval for (μ1μ2).

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 (μ1μ2)?

4.134 Refer to Exercise 4.133. Find the following probabilities:

a.P(20x30)b.P(20<x30)c.P(x30)d.P(x45)e.(x40)f.(x<40)g.P(15x35)h.P(21.5x31.5)

Business sign conservation. The Federal Highway Administration (FHWA) lately issued new guidelines for maintaining and replacing business signs. Civil masterminds at North Carolina State University studied the effectiveness of colorful sign conservation practices developed to cleave to the new guidelines and published the results in the Journal of Transportation Engineering (June 2013). One portion of the study concentrated on the proportion of business signs that fail the minimal FHWA retro-reflectivity conditions. Of signs maintained by the. North Carolina Department of Transportation (NCDOT), .512 were supposed failures. Of signs maintained by. County- possessed roads in North Carolina, 328 were supposed. Failures. Conduct a test of the thesis to determine whether the true proportions of business signs that fail the minimal FHWA retro-reflectivity conditions differ depending on whether the signs are maintained by the NCDOT or by the county. Test using α = .05

Web Check response rates. Response rates to Web checks are generally low, incompletely due to druggies starting but not. I am finishing the check. Survey Methodology (December 2013) delved into the factors that impact response rates. In a designed study, Web druggies were directed to. Share in one of several checks with different formats. For illustration, one format employed a welcome screen with a white background, and another format employed a welcome screen with a red background. The “break-off rates,” i.e., the proportion of tried druggies who break off the check before completing all questions, for the two formats are handed in the table.

White Welcome screen

Red Welcome screen

Number of Web users

198

183

The number who break off the survey

49

37

Break-off rate

.258

.202

Source: R. Haer and N. Meidert, “Does the First Impression Count? Examining the Effect of the Welcome Screen Design on the Response Rate,” Survey Methodology, Vol. 39, No. 2, December 2013 (Table 4.1).

a. Corroborate the values of the break-off rates shown in the table.

b. The experimenters theorize that the true break-off rate for Web druggies of the red hello screen will be lower than the corresponding break-off rate for the white hello screen. Give the null and indispensable suppositions for testing this proposition.

c. Cipher the test statistic for the test.

d. Find the p- the value of the test.

e. Make the applicable conclusion using α = .10.

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