An engineer working for a large agribusiness has developed two types of soil additives he calls Add1 and Add2. The engineer wants totest whether there is any difference between the two additives in the mean yield of tomato plants grown using these additives.The engineer studies a random sample of 11 tomato plants grown using Add1 and random sample of 13 tomato plants grown usingAdd2. (These samples are chosen independently.) When the plants are harvested, he counts their yields. These data are shown in thetable.sumeYields (in number of tomatoes)97, 115, 126, 108, 111, 131, 90, 93, 136, 101, 99k 7mentAdd1Add2154, 171, 89, 100, 168, 172, 101, 192, 133, 176, 141, 113, 198Send data to calculatorSend data to Exceltub 2Assume that the two populations of yields are approximately normally distributed. Can the engineer conclude, at the 0.01 level ofsignificance, that there is a difference between the population mean of the yields of tomato plants grown with Add1 and the populationmean of the yields of tomato plants grown with Add2? (a) State the null hypothesis H. and the alternate hypothesis H,.EspañolH, :0H :0(b) Determine the type of test statistic to use.(Choose one)O=0(c) Find the value of the test statistic. (Round to three or more decimal places.)O

Given that, an engineer working for a large has developed two types of soil additives he calls Add1…

Answered: (a) State the null hypothesis H and the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Use technology to find the P-value for the hypothesis test described below. The claim is that for 12 AM body temperatures, the mean is u < 98.6°F. The sample size is n = 4 and the test statistic is t= - 1.762. P-value = (Round to three decimal places as needed.)
This question: 1 point(s) possible Submit test Assume a significance level of a= 0.05 and use the given information to complete parts (a) and (b) below. Original claim: More than 55% of adults would erase all of their personal information online if they could. The hypothesis test results in a P-value of 0.0179. ... a. State a conclusion about the null hypothesis. (Reject H, or fail to reject H) Choose the correct answer below. O A. Reject H, because the P-value is less than or equal to a. O B. Fail to reject H, because the P-value is less than or equal to a. O C. Reject Ho because the P-value is greater than a. OD. Fail to reject H, because the P-value is greater than a. b. Without using technical terms, state a final conclusion that addresses the original claim. Which of the following is the correct conclusion? O A. There is not sufficient evidence to support the claim that the percentage of adults that would erase all of their personal information online if they could is more than…
Use technology to find the P-value for the hypothesis test described below. The claim is that for 12 AM body temperatures, the mean is µ > 98.6°F. The sample size is n = 4 and the test statistic is t=2.042. P-value = (Round to three decimal places as needed.)
Use technology to find the P-value for the hypothesis test described below. The claim is that for 12 AM body temperatures, the mean is µ> 98.6°F. The sample size is n = 9 and the test statistic is t= 1.911. P-value = (Round to three decimal places as needed.)
(a) Write the claim mathematically and identify H0 and Ha. (b) Find the standardized test statistic z, and its corresponding area. (c) Find the P-value. (d) Decide whether to reject or fail to reject the null hypothesis. (e) Interpret your decision in the context of the original claim.
Use technology to find the P-value for the hypothesis test described below. The claim is that for a smartphone carrier's data speeds at airports, the mean is µ = 14.00 Mbps. The sample size is n= 26 and the test statistic is t= 1.186. P-value = (Round to three decimal places as needed.)
Please find (c), (d), (e) and if possible check to see if my degrees of freedom is correct please:)
Can you help me with this part?
A personal computer manufacturer is interested in comparing assembly times for two keyboard assembly processes. Assembly times can vary considerably from worker to worker, and the company decides to eliminate this effect by selecting a random sample of 12 workers and timing each worker on each assembly process. Half of the workers are chosen at random to use Process 1 first, and the rest use Process 2 first. For each worker and each process, the assembly time (in minutes) is recorded, as shown in the table below. Worker 1 2 3 4 5 6. 7 8. 9. 10 11 12 Process 1 85 63 46 85 83 70 64 51 48 69 67 52 Process 2 88 46 43 61 80 51 59 53 23 46 59 52 Difference - 3 17 3 24 19 5 -2 25 23 8 (Process 1 - Process 2) Send data to calculator Based on these data, can the company conclude, at the 0.05 level of significance, that the mean assembly times for the two processes differ? Answer this question by performing a hypothesis test regarding u, (which is with a letter "d" subscript), the population…
Use technology to find the P-value for the hypothesis test described below. The claim is that for a smartphone carrier's data speeds at airports, the mean is μ=12.00 Mbps. The sample size is n=22 and the test statistic is t=1.488. P-value=enter your response here (Round to three decimal places as needed.)
Use technology to find the P-value for the hypothesis test described below. The claim is that for 12 AM body temperatures, the mean is μ>98.6°F. The sample size is n=8 and the test statistic is t=1.289. P-value= nothing (Round to three decimal places as needed.)
Describe type I and type II errors for a hypothesis test of the indicated claim. A furniture store claims that at least 40% of its new customers will return to buy their next piece of furniture. Describe the type I error. Choose the correct answer below. OA. A type I error will occur when the actual proportion of new customers who return to buy their next piece of furniture is at least 0.40, but you fail to reject Ho: p20.40. OB. A type I error will occur when the actual proportion of new customers who return to buy their next piece furniture is at least 0.40, but you reject Ho: p20.40. OC. A type I error will occur when the actual proportion of new customers who return to buy their next piece of furniture is no more than 0.40, but you reject Ho: p ≤ 0.40. OD. A type I error will occur when the actual proportion of new customers who return to buy their next piece f furniture is no more than 0.40, but you fail to reject Ho: p ≤0.40. Describe the type II error. Choose the correct answer…

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