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Testing Claims About Proportions. In Exercises 9鈥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.

Is Nessie Real? This question was posted on the America Online website: Do you believe the Loch Ness monster exists? Among 21,346 responses, 64% were 鈥測es.鈥 Use a 0.01 significance level to test the claim that most people believe that the Loch Ness monster exists. How is the conclusion affected by the fact that Internet users who saw the question could decide whether to respond?

Short Answer

Expert verified

Null hypothesis: The proportion of people who believe that the Loch Ness monster exists is equal to 50%.

Alternative hypothesis: The proportion of people who believe that the Loch Ness monster exists is greater than 50%.

Test statistic: 40.909

Critical value: 2.3263

P-value: 0.000

The null hypothesis is rejected.

There is enough evidence to support the claim that the proportion of people who believe that the Loch Ness monster exists is greater than 50%.

The sample is a voluntary-response sample and not a simple random sample. Thus, the results of the test maybe inaccurate.

Step by step solution

01

Given information

In a survey involving 21346 people, 64% believe that the Loch Ness monster exists. It is claimed that most people believe that the Loch Ness monster exists.

02

Hypotheses

The null hypothesis is written as follows.

The proportion of people who believe that the Loch Ness monster exists is equal to 50%.

H0:p=0.5

The alternative hypothesis is written as follows.

The proportion of people who believe that the Loch Ness monster exists is greater than 50%.

H1:p>0.5

The test is right-tailed.

03

Sample size, sample proportion,and population proportion

The sample size is equal to n=21346.

The sample proportion of people who believe that the Loch Ness monster exists is equal to

p^=64%=64100=0.64

The population proportion of people who believe that the Loch Ness monster exists is equal to 0.5.

04

Test statistic

The value of the test statistic is computed below.

z=p^-ppqn=0.64-0.50.51-0.521346=40.909

Thus, z=40.909.

05

Critical value and p-value

Referring to the standard normal table, the critical value of z at =0.01 for a right-tailed test is equal to 2.3263.

Referring to the standard normal table, the p-value for the test statistic value of 40.909is equal to 0.000.

As the p-value is less than 0.01, the null hypothesis is rejected.

06

Conclusion of the test

There is enough evidence to support the claim that the proportion of people who believe that the Loch Ness monster exists is greater than 50%.

If the internet users have chosen to respond to the question, the sample is a voluntary-response sample and cannot be considered a simple random sample.

Thus, the results of the test cannot be relied upon and maybe false.

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Most popular questions from this chapter

True/False Characterize each of the following statements as being true or false.

a. In a hypothesis test, a very high P-value indicates strong support of the alternative hypothesis.

b. The Student t distribution can be used to test a claim about a population mean whenever the sample data are randomly selected from a normally distributed population.

c. When using a x2 distribution to test a claim about a population standard deviation, there is a very loose requirement that the sample data are from a population having a normal distribution.

d. When conducting a hypothesis test about the claimed proportion of adults who have current passports, the problems with a convenience sample can be overcome by using a larger sample size.

e. When repeating the same hypothesis test with different random samples of the same size, the conclusions will all be the same.

Critical Values. In Exercises 21鈥24, refer to the information in the given exercise and do the following.

a. Find the critical value(s).

b. Using a significance level of = 0.05, should we reject H0or should we fail to reject H0?

Exercise 20

Cadmium, a heavy metal, is toxic to animals. Mushrooms, however, are able to absorb and accumulate cadmium at high concentrations. The Czech and Slovak governments have set a safety limit for cadmium in dry vegetables at part per million (ppm). M. Melgar et al. measured the cadmium levels in a random sample of the edible mushroom Boletus Pinicola and published the results in the paper "Influence of Some Factors in Toxicity and Accumulation of Cd from Edible Wild Macrofungi in NW Spain" (Journal of Environmental Science and Health, Vol. B33(4), pp. 439 455). Here are the data.

0.24 0.59 0.62 0.16 0.77 1.33

0.92 0.19 0.33 0.25 0.59 0.32

At the significance level, do the data provide sufficient evidence to conclude that the mean cadmium level in Boletus Pinicola mushrooms is greater than the government's recommended limit of ppm? Assume that the population standard deviation of cadmium levels in Boletus Pinicola mushrooms is 0.37 ppm.

(Note: the sum of the data is 6.31 ppm. )

P-Values. In Exercises 17鈥20, do the following:

a. Identify the hypothesis test as being two-tailed, left-tailed, or right-tailed.

b. Find the P-value. (See Figure 8-3 on page 364.)

c. Using a significance level of = 0.05, should we reject H0or should we fail to reject H0?

The test statistic of z = -2.50 is obtained when testing the claim that p<0.75

Early-Onset Dementia. Dementia is the loss of the intellectual and social abilities severe enough to interfere with judgment, behavior, and daily functioning. Alzheimer's disease is the most common type of dementia. In the article "Living with Early Onset Dementia: Exploring the Experience and Developing Evidence Based Guidelines for Practice" (Alzheimer's Care Quarterly, Vol. 5, Issue 2, pp. 111-122), P. Harris and J. Keady explored the experience and struggles of people diagnosed with dementia and their families. A hypothesis test is to be performed to decide whether the mean age at diagnosis of all people with early-onset dementia is less than 55 years old.

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