/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q. 9.39 This exercise contain graphs por... [FREE SOLUTION] | 91影视

91影视

This exercise contain graphs portraying the decision criterion for a one-mean 2-test. The curve in each graph is the normal curve for the test statistic under the assumption that the null hypothesis is true. For each exercise, determine the

a. rejection region.

c. critical value(s).

b. nonrejection region.

d. significance level.

e. Construct a graph similar to that in Fig. 9.3 on page 361 that depicts your results from parts (a)-(d).

f. Identify the hypothesis test as two tailed, left tailed or right tailed.

Short Answer

Expert verified


(a) The rejection regions arez<-1.645andz>1.645

(b) The non rejection region is-1.645<z<1.645

(c)The critical values for the test are z0=-1.645andz0=1.645

(d) The significance level is 0.10.

(e)

(f) The hypothesis is two-tailed test.

Step by step solution

01

Step 1. Given

The curve in each graph is the normal curve for the test statistic under the assumption that the null hypothesis is true.

02

Part(a) Step 2. Determine the rejection region

From the above graph it is clear that is that the rejection regions arez<-1.645andz>1.645

03

Part (b) Step 3.  Determine the non-rejection region

From the above graph it is clear that is that the non- rejection regions are-1.645<z<1.645

04

Part(c) Step 4. Determine the critical values.

The critical values for the test arez0=-1.645andz0=1.645

05

Part( d) Step 5. Determine the significance level

The graph shows the critical region in the two-tail so the area under the rejection region is the significance level. That is,

=0.05+0.05=0.10

06

Part(e) Step 6. Construct a graph similar to that in Fig. 9.3 on page 361 that depicts your results from parts (a)-(d). 

The graph that depicts critical region, non critical region and critical value is shown below:

07

Part (f) Step 7. Identify the hypothesis test as two tailed, left tailed or right tailed.

The hypothesis is two-tailed test.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91影视!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

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.)

Confidence interval Assume that we will use the sample data from Exercise 1 鈥淰ideo Games鈥 with a 0.05 significance level in a test of the claim that the population mean is greater than 90 sec. If we want to construct a confidence interval to be used for testing the claim, what confidence level should be used for the confidence interval? If the confidence interval is found to be 21.1 sec < < 191.4 sec, what should we conclude about the claim?

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 6 鈥淐ell Phone鈥

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 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.

Store Checkout-Scanner Accuracy In a study of store checkout-scanners, 1234 items were checked for pricing accuracy; 20 checked items were found to be overcharges, and 1214 checked items were not overcharges (based on data from 鈥淯PC Scanner Pricing Systems: Are They Accurate?鈥 by Goodstein, Journal of Marketing, Vol. 58). Use a 0.05 significance level to test the claim that with scanners, 1% of sales are overcharges. (Before scanners were used, the overcharge rate was estimated to be about 1%.) Based on these results, do scanners appear to help consumers avoid overcharges?

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.