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Watching grass grow The germination rate of seeds is defined as the proportion of seeds that sprout and grow when properly planted and watered. A certain variety of grass seed usually has a germination rate of 0.80. A company wants to see if spraying the seeds with a chemical that is known to increase germination rates in other species will increase the germination rate of this variety of grass. The company researchers spray a random sample of 400grass seeds with the chemical, and 339of the seeds germinate. Do these data provide convincing evidence at the =0.05 significance level that the chemical is

effective for this variety of grass?

Short Answer

Expert verified

The chemical are effective of grass of germination process.

Step by step solution

01

Given Information

It is given that n=400

x=339

p=0.05

02

Simplification

Null hypothesis is: H0:p=0.80

Alternate hypothesis: Ha:p0.80

Sample proportion is p^=xn

p^=339400=0.8475

Standard Deviation is: p^=p(1-p)n

p^=0.8(1-0.8)400=0.02

Zscore is Z=p^-pp^

Z=0.8475-0.800.02=2.375

The probability value is P(x<Z)=0.99123

P(x>Z)=1-0.99123=0.0087745

P=0.0087745<0.05, null hypothesis is rejected.H0:p=0.80

Chemical is effective for variety of grass.

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Most popular questions from this chapter

Making conclusions A student performs a test of H0:=12versus Ha:12

at the =0.05significance level and gets a P-value of 0.01. The

student writes: 鈥淏ecause the P-value is small, we reject H0. The data prove that Hais true.鈥 Explain what is wrong with this conclusion.

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邪.H0:p=0.5;Ha:p>0.5H0:p^=0.5;Ha:p^>0.5.

b. H0:p=0.5;Ha:p>0.5H0:p=0.5;Ha:p>0.5.

c. H0:p=0.5;Ha:p<0.5H0:p=0.5;Ha:p<0.5.

d. H0:p=0.5;Ha:p0.H0:p=0.5;Ha:p0.5.

e. H0:p>0.5;Ha:p=0.5H0:p>0.5;Ha:p=0.5.

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According to the Bureau of Labor Statistics, the average age of American workers is 41.9years. The manager of a large technology company believes that the company鈥檚 employees tend to be younger, on average. So she takes a random sample of 12 employees and records their ages.

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a. State appropriate hypotheses for testing the manager鈥檚 belief. Be sure to define the parameter of interest.

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