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.)

16. Exercise 8 “Pulse Rates”

Short Answer

Expert verified

The value of the chi-square test statistic is equal to 160.404.

Step by step solution

01

Given information

The pulse rates of a sample of 153 adult males have a standard deviation equal to 11.3 bpm. The claim is that the standard deviation of the pulse rates of adult males is more than 11bpm.

02

Hypotheses

In Correspondence with the given claim, the following hypotheses are set up:

Null Hypothesis: The standard deviation of the pulse rates of adult males is equal to 11bpm. Mathematically,

H0:σ=11bpm

Alternative Hypothesis: The standard deviation of the pulse rates of adult males is more than 11bpm. Mathematically,

H1:σ>11bpm

03

Test statistic

Since the claim involves testing the population's standard deviation's equality with a hypothesized value, the test statistic used will be the Chi-square statistic.

The chi-square test statistic has the following expression:

χ2=n-1s2σ2

Where

n is the sample size

s2 is the sample variance

σ2 is the population variance

Here, the sample size (n) is equal to 153.

The value of the sample variance is computed below:

s2=11.32=127.69

The population variance is computed below:

σ2=112=121

Thus, the value of the test statistic is as follows:

χ2=n-1s2σ2=153-1127.69121=160.404

Therefore, the value of the test statistic is equal to 160.404.

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Most popular questions from this chapter

Final Conclusions. In Exercises 25–28, 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.

Using Technology. In Exercises 5–8, identify the indicated values or interpret the given display. Use the normal distribution as an approximation to the binomial distribution, as described in Part 1 of this section. Use α= 0.05 significance level and answer the following:

a. Is the test two-tailed, left-tailed, or right-tailed?

b. What is the test statistic?

c. What is the P-value?

d. What is the null hypothesis, and what do you conclude about it?

e. What is the final conclusion?

Self-Driving Vehicles In a TE Connectivity survey of 1000 adults, 29% said that they would feel comfortable in a self-driving vehicle. The accompanying StatCrunch display results from testing the claim that more than 1/4 of adults feel comfortable in a self-driving vehicle.

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 = 0.05, should we reject H0or should we fail to reject H0?

The test statistic of z = -1.94 is obtained when testing the claim that p=38 .

Finding Critical t Values When finding critical values, we often need significance levels other than those available in Table A-3. Some computer programs approximate critical t values by calculating t=df×eA2/df-1where df = n-1, e = 2.718, A=z8×df+3/8×df+1, and z is the critical z score. Use this approximation to find the critical t score for Exercise 12 “Tornadoes,” using a significance level of 0.05. Compare the results to the critical t score of 1.648 found from technology. Does this approximation appear to work reasonably well?

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

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