None A researcher studies the amount of trash (in kgs per person) produced by households in city X. Previous research suggests thatthe amount of trash follows a distribution with density f(x) = 0x0-1/5º for x = (0,5). The researcher wishes to verify a nullhypothesis that = 11/10 against the alternative that 0 = 11/11, based on a single observation. The critical region of the testshe consideres is of the form C = {X < c}. The researcher wants to construct a test with a significance level a = 27.1/1000.Find the value of c.Provide the answer with an accuracy of THREE decimal digits.Answer:×The correct answer is: 0.1881

Answered: Image /qna-images/answer/28b457da-15db-432a-aa14-d9f7f992c6b9.jpg

Answered: A researcher studies the amount of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

The mean weight of loaves of bread produced at the bakery where you work is supposed to be 1 pound. You are the supervisor of quality control at the bakery, and you are concerned that new employees are producing loaves that are too light. Suppose you weigh an SRS of bread loaves and find that the mean weight is 0.975 pound. We want to test Ho = 1 H a = 0.01, we reject Họ. We do not have convincing evidence that the true mean weight for all loaves of bread produced at the bakery is less than one pound. Because the P-value of 0.0806 > a = 0.01, we fail to reject Ho. We do not have convincing evidence that the true mean weight for all loaves of bread produced at the bakery is less than one pound. Peceuse the P-value of 0.0806 > a = 0.01, we reject Ho. We have convincing evidence that the true mean weight for all loaves of bread produced at the bakery is less than one pound. Because the P-value of O.0806 > a = 0.01, we accept Ho. We have convincing evidence that the true mean weight for…
Researchers wanted to measure the effect of alcohol on the development of the hippocampal region in adolescents. The researchers randomly selected 13 adolescents with alcohol use disorders. They wanted to determine whether the hippocampal volumes in the alcoholic adolescents were less than the normal volume of 9.02 cm. An analysis of the sample data revealed that the hippocampal volume is approximately normal with x= 8.17 ands=0.6. Conduct an appropriate test at the a= 0.05 level of significance. Choose the correct hypotheses. Ho 9.02 V9.02 Find the test statistic. to =D (Round to two decimal places as needed.) Find the P-value The P-value is (Round to three decimal places as needed.) What conclusion can be drawn? O A. Reject Hn. There is sufficient evidence to conclude that the hippocampal volumes in the alcoholic adolescents are less than the normal volume of 9.02 cm".
The results of an independent-measures research study are reported as "t(20) = 2.12, p < .05, two tails." For this study, what t values formed the boundaries for the critical region?
Spray drift is a constant concern for pesticide applicators and agricultural producers. The inverse relationship between droplet size and drift potential is well known. The paper "Effects of 2,4-D Formulation and Quinclorac on Spray Droplet Size and Deposition"+ investigated the effects of herbicide formulation on spray atomization. A figure in a paper suggested the normal distribution with mean 1050 μm and standard deviation 150 µm was a reasonable model for droplet size for water (the "control treatment") sprayed through a 760 ml/min nozzle. USE SALT (a) What is the probability that the size of a single droplet is less than 1350 μm? At least 975 μm? (Round your answers to four decimal places.) less than 1350 µm at least 975 μm (b) What is the probability that the size of a single droplet is between 975 and 1350 μm? (Round your answer to four decimal places.) (c) How would you characterize the smallest 2% of all droplets? (Round your answer to two decimal places.) The smallest 2% of…
Spray drift is a constant concern for pesticide applicators and agricultural producers. The inverse relationship between droplet size and drift potential is well known. The paper "Effects of 2,4-D Formulation and Quinclorac on Spray Droplet Size and Deposition"+ investigated the effects of herbicide formulation on spray atomization. A figure in a paper suggested the normal distribution with mean 1050 µm and standard deviation 150 μm was a reasonable model for droplet size for water (the "control treatment") sprayed through a 760 ml/min nozzle. USE SALT (a) What is the probability that the size of a single droplet is less than 1440 µm? At least 975 μm? (Round your answers to four decimal places.) less than 1440 μm 9990 X at least 975 μm (b) What is the probability that the size of a single droplet is between 975 and 1440 µm? (Round your answer to four decimal places.) (c) How would you characterize the smallest 2% of all droplets? (Round your answer to two decimal places.) The smallest…
Let X ~N(0, e2). Find the CRLB for variances of the unbiased estimator of T(0) = 0². %3D
The accompanying summary quantities for x = Particulate pollution (pg/m³) and y = Luminance (0.01 cd/m2) were calculated from a representative sample of data that appeared in a article. n = 15 Ex = 870 Ey = 349 Ex? = 56,300 Ey? = 8,953 Exy = 22,215 (a) Test to see whether there is a positive correlation between particulate pollution and luminance in the population from which the data were selected. (Use a = 0.05.) Calculate the test statistic. (Round your answer to two decimal places.) t = What is the P-value? (Use technology to calculate the P-value. Round your answer to three decimal places.) P-value = What can you conclude? O Fail to reject H. We have convincing evidence of a positive correlation between particulate pollution and luminance for the population from which the sample was selected. Reject Ho. We have convincing evidence of a positive correlation between particulate pollution and luminance for the population from which the sample was selected. O Reject H.. We do not have…
Do wearable devices that monitor diet and physical activity help people lose weight? Researchers had 237 subjects who were already involved in a program of diet and exercise use wearable technology for 24 months. They measured their weight (in kilograms) before using the technology and 24 months after using the technology. The 237 differences in weight (weight after 24 months minus weight before using the wearable technology) had x = -3.5 and s = 7.8. Let u be the mean weight difference. 41 John M. Jakicic et al., "Effect of wearable technology combined with a lifestyle intervention on long-term weight loss, the IDEA randomized clinical trial," JAMA, 316, 2016, pp. 1161-1171. O Macmillan Learning " What is the test statistic? Give your answer to three decimal places. What is the P-value? The P-value is between 0.01 and 0.05. The P-value is less than 0.0005. O The P-value is between 0.0005 and 0.01. The P-value is greater than 0.05.
Fifty male subjects drank a measured amount x (in ounces) of a medication and the concentration y (in percent) in their blood of the active ingredient was measured 30 minutes later. The sample data are summarized by the following information: n = 50 Ex = 112.5 Ex? = 356.25 %3D Ey = 4.83 Ey = 0.667 Exy = 15.255 0 < x < 4.5 Or= 0.875 Or= 0.709 Or= -0.846 Or=0.460 Or= 0.965
An experiment to compare the spreading rates of five different brands of yellow interior latex paint available in a particular area used 4 gallons (J = 4) of each paint. The sample average spreading rates (ft?/gal) for the five brands were x, = 462.0, x, = 512.8, x = 427.5, x = 469.3, and x, = 532.1. The computed value of F was found to be significant at level a = 0.05. With MSE = 370.8, use Tukey's procedure to investigate significant differences betvween brands. (Round your answer to two decimal places.) Which means differ significantly from one another? (Select all that apply.) Ox and x2 Ox, and x, Ox and x4. Ox and xs. O, and x. O, and x, O, and xs. O3, and x. OX, and xs. OX, and xs. O There are no significant differences.
A random sample of n = 19 winter days in Denver gave a sample mean pollution index x1 = 43. Previous studies show that o1 = 10. For Englewood (a suburb of Denver), a random sample of n2 = 18 winter days gave a sample mean pollution index of x2 = 34. Previous studies show that o2 = 13. Assume the pollution index is normally distributed in both Englewood and Denver. Do these data indicate that the mean population pollution index of Englewood is different (either way) from that of Denver in the winter? Use a 1% level of significance. (a) What is the level of significance? State the null and alternate hypotheses. O Ho: H1 H2 O Ho: H1 = l2; H1: H1 < µ2 (b) What sampling distribution will you use? What assumptions are you making? O The standard normal. We assume that both population distributions are approximately normal with unknown standard deviations. O The Student's t. We assume that both population distributions are approximately normal with unknown standard deviations. O The Student's…
A mixture of pulverized fuel ash and Portland cement to be used for grouting should have a compressive strength of more than 1,300 KN/m. The mixture will not be used unless experimental evidence indicates conclusively that the strength specification has been met. Suppose compressive strength for specimens of this mixture is normally distributed with o= 65. Let u denote the true average compressive strength. (a) What are the appropriate null and alternative hypotheses? H:H= 1,300 H:H= 1,300 Ho: H > 1,300 H:H= 1,300 O Hg: H = 1,300 H: H > 1,300 O Hg: H< 1,300 H H = 1,300 O Ho: H = 1,300 H: H < 1,300 (b) Let X denote the sample average compressive strength for n = 11 randomly selected specimens. Consider the test procedure with test statistic X itself (not standardized). What is the probability distribution of the test statistic when H, is true? O The test statistic has a normal distribution. O The test statistic has a binomial distribution. O The test statistic has a gamma distribution.…

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS