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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

Short Answer

Expert verified

There is no evidence to reject the null hypothesis (H0) at α= 0.01

Step by step solution

01

Step-by-Step Solution Step 1: Check the Null hypothesis and Alternative hypothesis

Let p1 be the proportion of Salmonella in the region's water and p2 be the proportion of Salmonella in the region's wildlife. The hypotheses are given below:

Null hypothesis:

H₁: P1 – P2 = 0

There is no evidence that the prevalence of Salmonella in the region's water differs from the prevalence of Salmonella in the region's wildlife.

Alternative hypothesis:

He: P1 – P2 ≠ 0

There is evidence that the prevalence of Salmonella in the region's water differs from the prevalence of Salmonella in the wildlife.

02

Calculate the critical value

calculate the critical value.

Let the confidence position be0.99.

1-α = 0.99

α = 1-0.99

= 0.01

α2=0.005

From Excursus Table II, the value of za2is given below.

za2=Z0.005=2.58

So,thevalueofza2is2.58.

03

Rejection region

Rejection region:

If Z >za2(= 2.58), then reject the null hypothesis.

its Z > za2(= -2.58), then reject the null hypothesis.

04

Calculate the value of P1and P2

Calculate the value of P¯1and P¯2

05

Calculate the value of P1

Consider α = 0.10, n1= 476,x1 = 18, and x2 = 20.

The value of P¯1is obtained as shown below.

P¯1=x1n1=18252=0.0714

06

Calculate the value of P2

The value of P¯2is obtained as shown below.

P¯2=x2n2=20252=0.0420

07

calculate the value of p

The value of P¯is obtained below.

P¯=x1+x2n1+n2=18+20252+476=38728=0.0522

08

Calculate the test statistic

Calculate the test statistic (z).

The formula for z is given below.

Z=p¯1p¯2p¯q¯(1n+1n)

There P1= 0.0714, P2=0.0420, P = 0.0522, n1=252 and n2 =476.

Z=0.07140.04200.0522(10.0522)(1252+1476)=0.02940.0174=1.69

09

Conclusion

The critical value is 2.58, and the value of z is 1.69.

Here, the value of z is lesser than the value ofza2.

That is, z (= 1.69) <za2(=2.58).

So, by the rejection rule, don't reject the null hypothesis (H0)

Interpretation

Thus, it can be concluded that there is no evidence to reject the null hypothesisH0 at α = 0.01.

Hence, there is no evidence that the prevalence of Salmonella in the region's water differs from the prevalence of Salmonella in the region's wildlife.

From the above steps, there is no evidence to reject the null hypothesis at α = 0.01.

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Most popular questions from this chapter

Drug content assessment. Refer to Exercise 8.16 (p. 467)and the Analytical Chemistry (Dec. 15, 2009) study in which scientists used high-performance liquid chromatography to determine the amount of drug in a tablet. Recall that 25 tablets were produced at each of two different, independent sites. The researchers want to determine if the two sites produced drug concentrations with different variances. A Minitab printout of the analysis follows. Locate the test statistic and p-value on the printout. Use these values α=.05and to conduct the appropriate test for the researchers.

Test and CI for two Variances: Content vs Site

Method

Null hypothesis α1α2=1

Alternative hypothesis α1α21

F method was used. This method is accurate for normal data only.

Statistics

Site N St Dev Variance 95% CI for St Devs

1 25 3.067 9.406 (2.195,4.267)

2 25 3.339 11.147 (2.607,4.645)

Ratio of standard deviation =0.191

Ratio of variances=0.844

95% Confidence Intervals

Method CI for St Dev Ratio CI Variance Ratio

F (0.610, 1.384) (0.372, 1.915)

Tests

Method DF1 DF2 Test statistic p-value

F 24 24 0.84 0.681

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a. Specify the parameter of interest to the experimenters.

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c. A Minitab analysis of the data is given below. Detect the test statistic on the printout.

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e. Detect the p- the value of the test on the printout.

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a. What confidence coefficient was used to generate the confidence intervals?

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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.

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12111511101310415169141061081112128129111510159138121089512

DM Dosage:

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Given the following values of x, s, and n, form a 90% confidence interval forσ2

a. x=21,s=2.5,n=50

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c. x=167,s=31,n=22

d.x=9.4,s=1.5,n=5


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