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Testing Claims About Proportions. In Exercises 9–32, test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, or critical value(s), then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim. Use the P-value method unless your instructor specifies otherwise. Use the normal distribution as an approximation to the binomial distribution, as described in Part 1 of this section.

Touch Therapy Repeat the preceding exercise using a 0.01 significance level. Does the conclusion change?

Short Answer

Expert verified

Null hypothesis: The proportion of correct guesses is equal to 0.5.

Alternative hypothesis: The proportion of correct guesses is not equal to 0.5.

Test statistic: -2.032

Critical value: 2.5758

P-value: 0.0422

The null hypothesis is failed to reject.

There is not enough evidence to reject the claim that the touch therapists randomly guess the correct answer.

Step by step solution

01

Given information

Out of 280 trials, 123 guesses were correct by the touch therapists. It is claimed that that touch therapists randomly guess the answer.

02

Hypotheses

The null hypothesis is written as follows.

The proportion of correct guesses is equal to 0.5.

H0:p=0.5

The alternative hypothesis is written as follows.

The proportion of correct guesses is not equal to 0.5.

H1:p0.5

The test is two-tailed.

03

Sample size, sample proportion, and population proportion

The sample size is n=280.

The sample proportion of correct guesses is computed below.

p^=NumberofcorrectguessesSampleSize=123280=0.439

The population proportion of correct guesses is equal to 0.5.

04

Test statistic

The value of the test statistic is computed below.

z=p^-ppqn=0.439-0.50.51-0.5280=-2.032.

Thus, z=-2.032.

05

Critical value and p-value

Referring to the standard normal table, the critical value of z at α=0.01 for a two-tailed test is equal to 2.5758.

Referring to the standard normal table, the p-value for the test statistic value of -2.032 is equal to 0.0422.

As the p-value is greater than 0.01, the null hypothesis is failed to reject.

06

Conclusion of the test

There is not enough evidence to reject the claim that the touch therapists randomly guess the correct answer.

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Most popular questions from this chapter

In Exercises 1–4, use these results from a USA Today survey in which 510 people chose to respond to this question that was posted on the USA Today website: “Should Americans replace passwords with biometric security (fingerprints, etc)?” Among the respondents, 53% said “yes.” We want to test the claim that more than half of the population believes that passwords should be replaced with biometric security.

Number and Proportion

a. Identify the actual number of respondents who answered “yes.”

b. Identify the sample proportion and the symbol used to represent it.

Finding P-values. In Exercises 5–8, either use technology to find the P-value or use Table A-3 to find a range of values for the P-value.

Airport Data Speeds: The claim that for Verizon data speeds at airports, the mean. The sample size is and the test statistic is

t =-1.625 .

Using Technology. In Exercises 5–8, identify the indicated values or interpret the given display. Use the normal distribution as an approximation to the binomial distribution, as described in Part 1 of this section. Use α= 0.05 significance level and answer the following:

a. Is the test two-tailed, left-tailed, or right-tailed?

b. What is the test statistic?

c. What is the P-value?

d. What is the null hypothesis, and what do you conclude about it?

e. What is the final conclusion?

Cell Phone Ownership A Pew Research Center poll of 2076 randomly selected adults showed that 91% of them own cell phones. The following Minitab display results from a test of the claim that 92% of adults own cell phones.

Cans of coke: Confidence interval if we use the data given in exercise 1, we get this 95% confidence interval estimate of the standard deviation of volumes with the new filling process: 0.1846<σ<0.4900 oz. what does this confidence interval tell us about the new filling process?

PowerFor a hypothesis test with a specified significance level , the probability of a type I error is, whereas the probability of a type II error depends on the particular value ofpthat is used as an alternative to the null hypothesis.

a.Using an alternative hypothesis ofp< 0.4, using a sample size ofn= 50, and assumingthat the true value ofpis 0.25, find the power of the test. See Exercise 34 “Calculating Power”in Section 8-1. [Hint:Use the valuesp= 0.25 andpq/n= (0.25)(0.75)/50.]

b.Find the value of , the probability of making a type II error.

c.Given the conditions cited in part (a), find the power of the test. What does the power tell us about the effectiveness of the test?

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