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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.

Mendelian Genetics When Mendel conducted his famous genetics experiments with peas, one sample of offspring consisted of 428 green peas and 152 yellow peas. Use a 0.01 significance level to test Mendel鈥檚 claim that under the same circumstances, 25% of offspring peas will be yellow. What can we conclude about Mendel鈥檚 claim?

Short Answer

Expert verified

Null hypothesis: The proportion of yellow offspring is equal to 25%.

Alternative hypothesis:The proportion of yellow offspring is not equal to 25%.

Test statistic: 0.671

Critical value: 2.5758

P-value: 0.5022

The null hypothesis is failed to reject.

There is not enough evidence to reject the claim that the proportion of yellow peas is equal to 25%.

Mendel鈥檚 claim of 25% offspring with yellow peas is correct.

Step by step solution

01

Given information

In a sample of offspring, there were 428 green peas and 152 yellow peas. It is claimed that 25% of offspring peas will be yellow.

02

Hypotheses

The null hypothesis is written as follows.

The proportion of yellow offspring is equal to 25%.

H0:p=0.25

The alternative hypothesis is written as follows.

The proportion of yellow offspring is not equal to 25%.

H1:p0.25

The test is two-tailed.

03

Sample size, sample proportion, and population proportion

The sample size is equal to

n=428+152=580

The sample proportion of yellow offspring is computed below.

p^=NumberofyellowoffspringSampleSize=152580=0.262

The population proportion of yellow offspring is equal to 0.25.

04

Test statistic

The value of the test statistic is computed below.

z=p^-ppqn=0.262-0.250.251-0.25580=0.671

Thus, z=0.671.

05

Critical value and p-value

Referring to the standard normal table, the critical value of z at=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 0.671 is equal to 0.5022.

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

06

Conclusion of the test

There is not enough evidence to reject the claim that the proportion of yellow peas is equal to 25%.

It can be concluded that Mendel鈥檚 claim of 25% offspring with yellow peas is accurate.

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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.

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?

We have been provided a sample mean, sample size, and population standard deviation. In the given case, use the one-mean z-test to perform the required hypothesis test at the 5%significance level.

x=21,n=32,=4,H0:=22,Ha:<22

In Exercises 13鈥16, refer to the exercise identified and find the value of the test statistic. (Refer to Table 8-2 on page 362 to select the correct expression for evaluating the test statistic.)

Exercise 6 鈥淐ell Phone鈥

Testing Hypotheses. In Exercises 13鈥24, assume that a simple random sample has been selected and test the given claim. Unless specified by your instructor, use either the P-value method or the critical value method for testing hypotheses. Identify the null and alternative hypotheses, test statistic, P-value (or range of P-values), or critical value(s), and state the final conclusion that addresses the original claim.

Car Booster Seats The National Highway Traffic Safety Administration conducted crash tests of child booster seats for cars. Listed below are results from those tests, with the measurements given in hic (standard head injury condition units). The safety requirement is that the hic measurement should be less than 1000 hic. Use a 0.01 significance level to test the claim that the sample is from a population with a mean less than 1000 hic. Do the results suggest that all of the child booster seats meet the specified requirement?

774 649 1210 546 431 612

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