Sampling 4 pieces of precision-cut wire (to be used in computer assembly) every hour for the past 24 hours has produced the following results:R0.76"1.131.431.211.120.32Hour XR Hour XR Hour7 3.15" 0.48" 13 3.01" 0.90" 198 2.65 1.08 14 2.73 1.26209 2.92 0.71 15 3.12 1.11 2110 2.75 1.28 16 2.74 0.50 222.73 1.12 17 2.96 1.48 232.97 0.40 18 2.84 1.34 241112Hour123456X3.25"3.003.223.493.172.96X3.31"2.792.553.182.842.54R1.56"1.091.080.461.580.92Based on the sampling done, the control limits for 3-sigma x chart are (round all intermediate calculations to three decimal places before proceeding with further calculations):Upper Control Limit (UCL) = 3.691 inches (round your response to three decimal places).Lower Control Limit (LCLx) = 2.215 inches (round your response to three decimal places).Based on the x-chart, the wire cutting process has been IN CONTROLThe control limits for the 3-sigma R-chart are (round all intermediate calculations to three decimal places before proceeding with further calculations):Upper Control Limit (UCLR) = inches (round your response to three decimal places). SampleSize, n2345678910 12Mean Factor,A₂1.8801.0230.7290.5770.4830.4190.3730.3370.3080.266Upper Range,D43.2682.5742.2822.1152.0041.9241.8641.8161.7771.716Lower Range,D3000000.0760.1360.1840.2230.284

The data for the range is given…

Answered: Sampling 4 pieces of precision-cut wire…

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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NarStor, a computer disk drive manufacturer, claims that the average time to failure for its hard drives is 14,400 hours. You work for a consumer group that has decided to examine this claim. Technicians ran 16 drives continuously for three years. Recently the last drive failed. The time to failure (in hours) are given below. Time Until Failure(Hours) 330 620 1870 2410 4620 6396 7822 8102 8309 12,882 14,419 16,092 18,384 20,916 23,812 25,814 Conduct a hypothesis test to determine whether there is any evidence that the average time to failure is less than the manufacturer’s claim. Use alpha = 0.01 What assumption did you make in performing the test? What is the p-value?
Explain what Cohen's d and r2 measure when calculated for a t test
Reter to the mensured systolic and diastolic biood pressure mensurements of 40 andomty seiected meies and test the caimthet among men, there isa comeiation betveen systolie biood pressure and diestolic Diood pressure. Test for rank comreiation with a 0.05 sgnifcance level m Click the icon to view the blood pressure deta for men. Determine the nul and stemetive hypotheses for this test Choose the comect ansver below OA M0 O. M0 OD. HA0 Determine the coreietion coefficient -O Round to mree decimal piaces as nences) Derermine the ortical values of the comeistion coeftcient. Round to three decimal pisces as neeses. Usea comma to secarte anses as neeses) Chocse he comect enser below OA Faltoreject the nul typothesis. There is sufcient evidence to support the caimthet thereisa comiation beteen systolic and diastolic biood pressure in men. OB Reecthe nul hypothesis There is sufcient evidence to support the cam thet there is comeistion betveen systolic and diestolic biood pressure in men. OC.…
Consider the highest daily snowfall accumulation in Montréal per winter season, measured at the Montréal Airport from 1964/65 to 2014/15. The measurements in cm are as follows: maxsnow ## [1] 15.2 25.4 32.8 14.5 23.6 37.8 43.2 22.9 20.3 21.1 25.7 24.6 25.9 22.5 32.8 ## (16] 19.6 11.0 18.2 10.8 21.3 22.0 13.6 21.8 21.0 21.2 12.2 20.2 17.2 40.0 27.8 ## [31] 13.2 20.8 21.4 23.6 35.8 33.9 31.0 18.8 15.8 18.8 17.2 41.2 35.2 31.8 23.8 ## [46] 29.8 20.4 16.0 45.6 20.8 20.0 (a) Is this data a realization of a random sample? Provide rationale for your answer (you may list pros and cons if you like). (b) Which population quantities (mean, variance, probabilities of certain events) would you like to use these data to estimate and why? (The answers to these questions are subjective).
A researcher wants to know whether children with ADHD tend to watch more TV than children who are not diagnosed with the disorder. To examine this, a researcher obtains a sample of n = 36 children (ages 8 to 12 years) who have been diagnosed with ADHD. Each child is asked to keep a journal recording how much time each day is spent watching TV. The average for the sample is M = 4.9 hours/day. Assume that the average TV-watching time for the general population of 8-to-12-year-old children is µ = 4.1 hours/day with σ = 1.8. Is ADHD in children associated with an increased amount of TV-watching?
Rhino viruses typically cause common colds. In a test of the effectiveness of echinacea, 33 of the 38 subjects treated with echinacea developed rhinovirus infections. In a placebo group, 94 of the 111 subjects developed rhinovirus infections. Use a 0.01 significance level to test the claim that echinacea has an effect on rhinovirus infections. Complete parts (a) through (c) below. a. Test the claim using a hypothesis test. Consider the first sample to be the sample of subjects treated with echinacea and the second sample to be the sample of subjects treated with a placebo. What are the null and alternative hypotheses for the hypothesis test? O A. Ho: P1 #P2 Hy:P1 =P2 O B. Ho: P1 =P2 H1: P1 P2 H1: P1 #P2 Identify the test statistic. (Round to two decimal places as needed.) Identify the P-value. P-value = (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? the null hypothesis. There sufficient evidence to support the claim that echinacea…
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A taxi business owner is determining the type of tires for his cars for efficiency the fuel can be increased. Twelve cars were tested using type A tires and asked to travel on a certain route. The same car and driver, then do the same route and the same road conditions with type B tires. Fuel consumption (km/liter) is then recorded as (enclosed). Note: • Use the last digit of your ID (2602296545) in place of a value; • If the last digit is 0 then it is changed to 1; Example: ID 1234567890 → 1 Can we conclude that a car with type A tires has material consumption fuel better than a car with type B tires? Assumed population normally distributed and α=5%. a. Define a hypothesis statement for the case. b. Perform statistical test calculations. c. Give a conclusion from the results of these calculations.
I'm not sure where is my mistake solving this problem. I have revised my calculation three times already and I'm not sure if the step to solve it is wrong or if it is my rounding the problem. Thank you for your help

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