٦:٢٧ مDIZVA&GBartleby solutionhypothesis1Asiacell1- At ottobock company I used an average of 90 min for new worker to learn cast processing forstump,recently the company installed a new machine. The supervisor of the company wants to findif the mean time taken by the new workers to learn on the new machine is different from 90 min. asample of 20 workers shows that it took an average of 85 min. It is known that the learning time forall new workers are normally distributed with population slandered deviation of 7 min .Find the p-value for the test that the mean learning time for the casting on the new machine is difference from90 min .what will your conclusion be if a =0.01?pls solve fastإضافة وصف ....¢Dв는☐

To determine whether the mean learning time for the new machine is significantly different from 90…

Answered: ٦:٢٧ م DIZVA &G Bartleby solution…

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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15. The dean of a university estimates that the mean number of classroom hours per week for full-time faculty is 10.0. As a member of the student council, you want to test this claim. A random sample of the number of classroom hours for eightfull-time faculty for one week is shown in the table below. At α=0.05, can you reject the dean's claim? Complete parts (a) through (d) below. Assume the population is normally distributed. 11.2 7.5 12.2 7.2 4.1 9.5 13.7 8.5 Question content area bottom Part 1 (a) Write the claim mathematically and identify H0 and Ha. Which of the following correctly states H0 and Ha? A. H0: μ>10.0 Ha: μ≤10.0 B. H0: μ≠10.0 Ha: μ=10.0 C. H0: μ<10.0 Ha: μ≥10.0 D. H0: μ≤10.0 Ha: μ>10.0 E. H0: μ≥10.0 Ha: μ<10.0
1. For each row of the table you are given a p-value and a level of significance (a). Determine which hypothesis is supported, if the data are significant and which type error could be made. If a given p- value is not a valid p-value (because it is greater than 1), put an x in each box in therow. p-value Hypothesis Họ or H1 Significant or Not Significant Error Type I or Type II 0.043 0.05 0.32 0.05 0.043 0.01 0.0035 0.01 0.043 0.10 0.15 0.10 5.6 x 106 0.05 7.3256 0.01 2. For the hypothesis test, write the concluding sentence in the form used by researchers. Context: Support paying off student dept, H1: p 8 ft, p-value-5.6 x 10°, a=0.05, n=56. 4. For the hypothesis test, write the concluding sentence in the form used by researchers. Context: Blood pressure for men and women, H1: Hw # HM ft, p-value3D0.0035, a=0.01, n=2403.
Show all your work Indicate clearly the methods you use, because you will be scored on the correctness of your methods as well as on the accuracy and completeness of your results and explanations. Researchers are studying two populations of sea turtles, In population D. 30 percent of the turties have a shell length greater than 2 feet. In population E. 20 percent of the turtles have a shell length greater than 2 feet. Froma random sample of 40 turtes selected from D.15 had a shell length greater than 2 feet. From a random sample of 60 turtles selected fromE. 11 had a shell length greater than 2 feet. Let pry represent the sample proportion for D, and let p represent the sample proportion for E (a)What is the value of the difference pryPr?Show your work. (b) What are the mean and standard deviation of the sampling distribution of the difference in sample proportions p P:? Show your work and label each value. (c) Can it be assumed that the sampling distribution of the difference of the…
20. Find the coefficient of skewness from the tollowing intormation : Difference of two quartiles = 8 Mode = 11 eboM %3D Sum of two quartiles = 22 Mean = 8 %3D
11. You have designed an automatic pitching machine that you plan to market for use by baseball players. You intend that the ball hit the target within one inch, if the machine is operating properly. You also know that the degree of variability cannot exceed .025". After you have designed your first model, you need to examine whether it satisfies the 1" criterion before you pursue further research. You have the machine make 15 tosses. You observe the following distances from the target: se 1.5" .5" 7" 1.0 75" 1.1" 80" 1" 2" 1.0" 1.0 1.2" 9" 5" 6" Do a hypothesis test on these data using the <.01 level of significance. Specify the null and alternative hypotheses, the critical z required to reject or accept the null, your obtained value, and your decision to reject or accept the null. (Show all your work). What do you decide to do? Do you begin the process of marketing the machine or do you need to go back and work on it some more? 12. Run a two sided 95% confidence interval for the…
Problem : The following system has a radar, a computer and an auxiliary unit connected in series as shown with mean time between failures (MTBF’s) of 91,202 and 500 hours respectively. MTBF=91 HRS MTBF=202 HRS MTBF=500 HRS INPUT RADAR COMPUTER AUXILIARY OUTPUT SYSTEM Determine the following. The unit reliability of each component. System reliability * System MTBF for an operating period of 10 hours
PCPS Desktop → C S SPANISH SPEAKS 1.... Performance Matters Question 1 of 20 Performance Matters | OLA ola2.performancematters.com/ola/ola.jsp?clientCode=flPolk&idp=fl_polk_student_cl Question 1-1 Previous Submit Test X SOLA Quarterly Assessment- Grad x + O 2w + 14 = 1.5w+ 11; w= -6 weeks 1.5w+14; w = 6 weeks O 2w + 11 = O 11w +2 = 14w +1.5; w = 0.167 weeks Type here to search O I Welcome, Evelynl Bi 53.2223.Q1.MA.Algebra1.1200310 Denasia and Kenya are training to run a half marathon. In the first week of training, Denasia runs 11 miles and Kenya runs 14 miles. Each week, Denasia increases her weekly total by 2 miles, and Kenya increases her weekly total by 1.5 miles. Write and solve an equation to find how many weeks after the first week of training Denasia and Kenya will be running the same number of miles. 12 ☆ 0 n Tools EA 84°F Sunny E J Ne 4:47 10/1
3. Describe the consequences of estimating an equation by OLS in the presence of anendogenous regressor. How can you overcome these obstacles? Present an alternative estimator and state its properties.

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