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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%.

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

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鈥檚 claim of 25% offspring with yellow peas is accurate.

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Most popular questions from this chapter

Interpreting Power For the sample data in Example 1 鈥淎dult Sleep鈥 from this section, Minitab and StatCrunch show that the hypothesis test has power of 0.4943 of supporting the claim that <7 hours of sleep when the actual population mean is 6.0 hours of sleep. Interpret this value of the power, then identify the value of and interpret that value. (For the t test in this section, a 鈥渘oncentrality parameter鈥 makes calculations of power much more complicated than the process described in Section 8-1, so software is recommended for power calculations.)

In Exercises 1鈥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: 鈥淪hould Americans replace passwords with biometric security (fingerprints, etc)?鈥 Among the respondents, 53% said 鈥測es.鈥 We want to test the claim that more than half of the population believes that passwords should be replaced with biometric security.

Requirements and Conclusions

a. Are any of the three requirements violated? Can the methods of this section be used to test the claim?

b. It was stated that we can easily remember how to interpret P-values with this: 鈥淚f the P is low, the null must go.鈥 What does this mean?

c. Another memory trick commonly used is this: 鈥淚f the P is high, the null will fly.鈥 Given that a hypothesis test never results in a conclusion of proving or supporting a null hypothesis, how is this memory trick misleading?

d. Common significance levels are 0.01 and 0.05. Why would it be unwise to use a significance level with a number like 0.0483?

Final Conclusions. In Exercises 25鈥28, use a significance level of = 0.05 and use the given information for the following:

a. State a conclusion about the null hypothesis. (Reject H0or fail to reject H0.)

b. Without using technical terms or symbols, state a final conclusion that addresses the original claim.

Original claim: More than 58% of adults would erase all of their personal information online if they could. The hypothesis test results in a P-value of 0.3257.

In Exercises 9鈥12, refer to the exercise identified. Make subjective estimates to decide whether results are significantly low or significantly high, then state a conclusion about the original claim. For example, if the claim is that a coin favours heads and sample results consist of 11 heads in 20 flips, conclude that there is not sufficient evidence to support the claim that the coin favours heads (because it is easy to get 11 heads in 20 flips by chance with a fair coin).

Exercise 8 鈥淧ulse Rates鈥

In Exercises 9鈥12, refer to the exercise identified. Make subjective estimates to decide whether results are significantly low or significantly high, then state a conclusion about the original claim. For example, if the claim is that a coin favours heads and sample results consist of 11 heads in 20 flips, conclude that there is not sufficient evidence to support the claim that the coin favours heads (because it is easy to get 11 heads in 20 flips by chance with a fair coin).

Exercise 5 鈥淥nline Data鈥

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