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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.

Earthquake Depths Data Set 21 “Earthquakes” in Appendix B lists earthquake depths, and the summary statistics are n = 600, x = 5.82 km, s = 4.93 km. Use a 0.01 significance level to test the claim of a seismologist that these earthquakes are from a population with a mean equal to 5.00 km.

Short Answer

Expert verified

The hypotheses are:

H0:μ=5H1:μ5

The test statistic is 4.074.

The critical values are -2.584 and 2.584.

The null hypothesis is rejected. There is enough evidence to conclude that the population mean depth in the earthquake is equal to 5.00 km.

Step by step solution

01

Given information

A sample is taken from the depth of earthquakes with a sample size of 600 with the claim that the mean depth of the earthquake is equal to 5.00km.

The significance level is 0.01.

02

Hypothesis criteria

The null hypothesis, represents the population mean depth is equal to 5. Also, the alternate hypothesis, represents the population mean depth is not equal to 5.

Let be the population mean depth of the earthquake.

State the null and alternate hypotheses.

H0:μ=5H1:μ5

03

State the critical value

The degrees of freedom are obtained by using the formula where.

df=600-1=599

The critical value can be obtained using the t-distribution table with and the significance level, for two tailed tests.

role="math" localid="1648827159942" t0.005,599=2.584

Thus, the critical values are -2.584 and 2.584.

04

Compute the observed test statistic

Apply the t-test to compute the test statistic using the formula, t=x-μsn.

Substitute the respective values in the above formula and simplify the equation as follows:

t=5.82-54.93600=4.074

Thus, the test statistic is 4.074.

05

state the decision

Reject null hypothesis when the absolute value of observed test statistics is greater than the critical value. Otherwise fail to reject the null hypothesis.

t=4.074=4.074>2.584>t0.005,599

The absolute value of the observed test statistic is greater than the critical value. This implies that the null hypothesis is rejected.

There is no sufficient evidence to conclude thatthe population mean depth of earthquake is equal to 5.

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Most popular questions from this chapter

df If we are using the sample data from Exercise 1 for a t-test of the claim that the population mean is greater than 90sec, What does df denote, and what is its value?

A formal hypothesis test is to be conducted using the claim that the mean height of men is equal to 174.1 cm.

a. What is the null hypothesis, and how is it denoted?

b. What is the alternative hypothesis, and how is it denoted?

c. What are the possible conclusions that can be made about the null hypothesis?

d. Is it possible to conclude that “there is sufficient evidence to support the claim that the mean height of men is equal to 174.1 cm”?

Technology. In Exercises 9–12, test the given claim by using the display provided from technology. Use a 0.05 significance level. 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.

Airport Data Speeds Data Set 32 “Airport Data Speeds” in Appendix B includes Sprint data speeds (mbps). The accompanying TI-83/84 Plus display results from using those data to test the claim that they are from a population having a mean less than 4.00 Mbps. Conduct the hypothesis test using these results.

Type I and Type II Errors. In Exercises 29–32, provide statements that identify the type I error and the type II error that correspond to the given claim. (Although conclusions are usually expressed in verbal form, the answers here can be expressed with statements that include symbolic expressions such as p = 0.1.).

The proportion of people with blue eyes is equal to 0.35.

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

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