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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

Corporate sustainability of CPA firms. Refer to the Business and Society (March 2011) study on the sustainability behaviors of CPA corporations, Exercise 2.23 (p. 83). Recall that the level of support for corporate sustainability (measured on a quantitative scale ranging from 0 to 160 points) was obtained for each of 992 senior managers at CPA firms. The accompanying Minitab printout gives the mean and standard deviation for the level of support variable. It can be shown that level of support is approximately normally distributed.

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Descriptive Statistics: Support

Variables

N

Mean

StDev

Variance

Minimum

Maximum

Range

Support

992

67.755

26.871

722.036

0.000

155.000

155.000

Let t0 be a particular value of t. Use Table III in Appendix D to find t0 values such that the following statements are true.

a.=P(-t0<t<t0).95wheredf=10b.P(t-t0ortt0)wheredf=10c.P(tt0)=.05wheredf=10d.P(t-t0ortt0)=.10wheredf=20e.P(t-t0ortt0)=.01wheredf=5

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Given that xis a binomial random variable, compute P(x)for each of the following cases:

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