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.

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’s claim that under the same circumstances, 25% of offspring peas will be yellow. What can we conclude about Mendel’s 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’s 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%.

\({H_0}:p = 0.25\).

The alternative hypothesis is written as follows.

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

\({H_1}:p \ne 0.25\).

The test is two-tailed.

03

Sample size, sample proportion,and population proportion

The sample size is equal to

\(\begin{array}{c}n = 428 + 152\\ = 580\end{array}\).

The sample proportion of yellow offspring is computed below.

\[\begin{array}{c}\hat p = \frac{{{\rm{Number}}\;{\rm{of}}\;{\rm{yellow}}\;{\rm{offspring}}}}{{{\rm{Sample}}\;{\rm{Size}}}}\\ = \frac{{152}}{{580}}\\ = 0.262\end{array}\].

The population proportion of yellow offspring is equal to 0.25.

04

Test statistic

The value of the test statistic is computed below.

\(\begin{array}{c}z = \frac{{\hat p - p}}{{\sqrt {\frac{{pq}}{n}} }}\\ = \frac{{0.262 - 0.25}}{{\sqrt {\frac{{0.25\left( {1 - 0.25} \right)}}{{580}}} }}\\ = 0.671\end{array}\).

Thus, z=0.671.

05

Critical value and p-value

Referring to the standard normal table, the critical value of z at\(\alpha = 0.01\)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.

Asthe 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’s claim of 25% offspring with yellow peas is accurate.

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Most popular questions from this chapter

P-Values. In Exercises 17–20, 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 α = 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

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

a. Find the critical value(s).

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

Exercise 19

Testing Hypotheses. In Exercises 13–24, 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.

How Many English Words? A simple random sample of 10 pages from Merriam-Webster’s Collegiate Dictionary is obtained. The numbers of words defined on those pages are found, with these results: n = 10, x = 53.3 words, s = 15.7 words. Given that this dictionary has 1459 pages with defined words, the claim that there are more than 70,000 defined words is equivalent to the claim that the mean number of words per page is greater than 48.0 words. Assume a normally distributed population. Use a 0.01 significance level to test the claim that the mean number of words per page is greater than 48.0 words. What does the result suggest about the claim that there are more than 70,000 defined words?

Test Statistics. In Exercises 13–16, 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 5 “Online Data”

Testing Hypotheses. In Exercises 13–24, 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.

Insomnia Treatment A clinical trial was conducted to test the effectiveness of the drug zopiclone for treating insomnia in older subjects. Before treatment with zopiclone, 16 subjects had a mean wake time of 102.8 min. After treatment with zopiclone, the 16 subjects had a mean wake time of 98.9 min and a standard deviation of 42.3 min (based on data from “Cognitive Behavioral Therapy vs Zopiclone for Treatment of Chronic Primary Insomnia in Older Adults,” by Sivertsenet al.,Journal of the American Medical Association, Vol. 295, No. 24). Assume that the 16 sample values appear to be from a normally distributed population, and test the claim that after treatment with zopiclone, subjects have a mean wake time of less than 102.8 min. Does zopiclone appear to be effective?

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