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Stating hypotheses State the appropriate null and alternative hypotheses in each of the following settings. Explain why the sample data give some evidence for Ha in each case.

a. The average height of 18-year-old American women is 64.2 inches. You wonder whether the mean height of this year’s female graduates from a large local high school differs from the national average. You measure an SRS of 48 female graduates and find that x=63.5 inches and sx=3.7 inches.

b. Rob once read that one-quarter of all people have played/danced in the rain at some point in their lives. His friend Justin thinks that the proportion is higher than 0.25 for their high school. To settle their dispute, they ask a random sample of 80 students in their school and find out that 28 have played/danced in the rain.

Short Answer

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Part (a)H0:μ=64.2H1:μ≠64.2

Part (b) H0:p=0.25H1:p>0.25

Although the sample proportion is 0.35 which is higher than 0.25 the sample proportion is giving some evidence for H1

Step by step solution

01

Part (a) Step 1: Given information

The claim is mean differs from 64.2

02

Part (a) Step2: Calculation

The null hypothesis asserts that the population value should be the same as the claim value.

H0:μ=64.2

Either the null hypothesis or the alternative hypothesis is the assertion. The null hypothesis asserts that the population means should be the same as the claim value. If the claim is the null hypothesis, the alternative hypothesis statement is the polar opposite of the claim.

H1:μ≠64.2

Although the sample mean of 63.5differs from the hypothesized mean of 64.2 there is some indication of H1 in the sample averages.

03

Part (b) Step 1: Calculation

The null hypothesis asserts that the population value should be the same as the claim value.

H0:p=0.25

Either the null hypothesis or the alternative hypothesis is the assertion. The null hypothesis asserts that the population proportion should be the same as the claim value. If the claim is the null hypothesis, the alternative hypothesis statement is the polar opposite of the claim.

H1:p>0.25

Here, p is the percentage of pupils in that school who have played in the rain.

x=28n=80p^=xn=2880=0.35

Despite the fact that the sample proportion is 0.35which is greater than 0.25the sample proportion supports H1

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

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Which of choices (a) through (d) is not a condition for performing a significance test about a population proportion p?

a. The data should come from a random sample from the population of interest.

b. Both np0and n(1-p0)should be at least 10.

c. If you are sampling without replacement from a finite population, then you should sample less than 10%of the population.

d. The population distribution should be approximately Normal unless the sample size is large.

e. All of the above are conditions for performing a significance test about a population proportion.

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