3. An experiment is conducted to measure the flex (amount of bending) in a thin composite beam whenplaced under a known load (force). Smaller beams made of the same material will then be used assprings to protect electronics.The manufacturer needs the beam to flex on average 5.0 mm, with 95 % of all samples having a flexbetween 4.7 mm and 5.3 mm.After testing the flex of 20 samples, the following numbers are found:(d)(e)20(f)(g)i=1Each sample has the flex measured to the nearest 0.1 mm using electronic calipers.(a)What is the mean flex found using 20 samples?What is the sample standard deviation of flex four using 20 samples?What is the 95% confidence interval for an individual sample? (Not true meanthis time!) That is, in what range would we expect the flex of 95 % of the samples to befound?x₁ = 102.2 mm20Σχι" = 523.7 mm2Xii=1Does the set of samples used satisfy the desired failure rate?Explain the reasoning behind your answer.What percent difference is there between the actual average flex and the desiredflex? Treat the desired flex as the "true" value.Discuss the accuracy and precision of the experiment performed.Write a conclusion for the experiment performed.

The value of ∑i=120xi=102.2 and ∑i=120x2i=523.7.The value of n is 20.

Answered: placed under a known load (force).…

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

One operation of a mill is to cut pieces of steel into parts that will later be used as the frame for front seats in an automobile. The steel is cut with a diamond saw and requires the resulting parts to be within 10.005 inch of the length specified by the automobile company. Data are collected from a sample of 50 steel parts and are shown in the following table. The measurement reported is the difference in inches between the actual length of the steel part, as measured by a laser measurement device, and the specified length of the steel part. For example, the first value, -0.003, represents a steel part that is 0.003 inch shorter than the specified length. Complete parts a through c Click the icon to view the data table. a. Construct a frequency distribution Difference in Length -0.005 but less than -0.003: -0.003but less than -0.001 -0.001but less than 0.001 0.001but less than 0.003 0.003but less than 0.005 Frequency Difference Between Actual and Specified Lengths 0.002 0 -0.003…
A researcher wonders whether younger mothers have babies that are significantly heavier or lighter than the population average of μ 7.25 pounds. The researcher collects data from N = 35 babies who were born to mothers between the ages of 16 and 18. The average weight for these babies was M = 7.15 pounds (SD = .6 pounds).
A manufacturer of high-resolution video terminals must control the tension on the mesh of fine wires that lies behind the surface of the viewing screen. Too much tension will tear the mesh, and too little will allow wrinkles. The tension is measured by an electrical device with output readings in millivolts (mV). Some variation is inherent in the production process. Here are the tension readings from a random sample of 20 screens from a single day’s production: 269.5 297.0 269.6 283.3 304.8 280.4 233.5 257.4 317.5 327.4 264.7 307.7 310.0 343.3 328.1 342.6 338.8 340.1 374.6 336.1 From this data, we compute ? = 306.32, ? = 36.21 Compute a 90% confidence interval for the mean tension μ of all the screens produced on this day.
A student decides to spin a dime and determine the proportion of times it lands on heads. The student spins the dime 25 times and records that it lands on heads 17 times. Let p = the true proportion of times the dime would land on heads when spun. Under the assumption that the true proportion is 0.5, 100 simulated proportions for samples of size 25 are shown in the dotplot. Using the dotplot, what do the two dots above 0.70 represent? There is a 2 in 100 chance that the true proportion of heads is 0.7. In two simulated samples of 25 spins, the proportion of heads is 0.7. There is a 2 in 100 chance that the sample proportion of heads is 0.7. In two simulated samples of 25 spins, the true proportion of heads is 0.7.
A 10-meter section of a busy downtown sidewalk is actually the platform of a scale that produces a voltage proportional to the total weight of people on the scale at any time. Sketch a typical sample function for this process.
The size of leaves taken from bramble bushes were measured to see if there is adifference between the size of the leaves growing in full sunlight and those growing inthe shade. Test the hypothesis using 0.05 level of significance.Width Of Leaf / Cm Sunlight6.0 4.8 5.1 5.5 4.1 5.3 4.5 5.1Shade 6.5 5.5 6.3 7.2 6.8 5.5 5.9 5.5 is this a wilcoxon test or mann whitney test ? and how do i do this question in hand calculation method. attached ceritical table for the two tests
In a science fair project, Emily conducted an experiment in which she tested professional touch therapists to see if they could sense her energy field. She flipped a coin to select either her right hand or her left hand, and then she asked the therapists to identify the selected hand by placing their hand just under Emily's hand without seeing it and without touching it. Among 325 trials, the touch therapists were correct 155 times. Complete parts (a) through (d) a. Given that Emily used a coin toss to select either her right hand or her left hand, what proportion of correct responses would be expected if the touch therapists made random guesses? (Type an integer or a decimal. Do not round.)
In a science fair project, Emily conducted an experiment in which she tested professional touch therapists to see if they could sense her energy field. She flipped a coin to select either her right hand or her left hand, and then she asked the therapists to identify the selected hand by placing their hand just under Emily's hand without seeing it and without touching it. Among 352 trials, the touch therapists were correct 168 times. Complete parts (a) through (d). 20 a. Given that Emily used a coin toss to select either her right hand or her left hand, what proportion of correct responses would be expected if the touch therapists made random guesses? (Type an integer or a decimal. Do not round.) an example 5 Get more help. M B D CHL & 7 GEREED Clear all 9 UK Check answer Us Mar 1
assume that the data was obtained from two indepen-dent samples. That is, 28 subjects were enrolled into the study, and half were randomly assignedto the corn flakes diet, and half to the oat bran diet. After two weeks the LDL cholesterol level ofeach individual was recorded. LDL (mmol/l)Subject Corn Flakes Oat Bran1 4.61 3.842 6.42 5.573 5.40 5.854 4.54 4.805 3.98 3.686 3.82 2.967 5.01 4.418 4.34 3.729 3.80 3.4910 4.56 3.8411 5.35 5.2612 3.89 3.7313 2.25 1.8414 4.24 4.14 Questions; a) What are the appropriate null and alternative hypotheses for a two-sided test?(b) Conduct the test at the 0.05 level of significance. What is the p-value?(c) Construct a 95% confidence interval.
Rhino viruses typically cause common colds. In a test of the effectiveness of echinacea, 35 of the 42 subjects treated with echinacea developed rhinovirus infections. In a placebo group, 86 of the 100 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 H P1 P2 OF. Ho: P1SP2 H, P1 #P2 Identify the test statistic. (Round to two decimal places as needed.). Identify the P-value.
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…
How Big Are Gribbles? Gribbles are small,pale white, marine worms that bore through wood.While sometimes considered a pest since they canwreck wooden docks and piers, they are now beingstudied to determine whether the enzyme theysecrete will allow us to turn inedible wood andplant waste into biofuel.24 A sample of 50 gribblesfinds an average length of 3.1 mm with a standarddeviation of 0.72. Give a best estimate for the mean length of gribbles, a margin of error for this esti-mate (with 95% confidence), and a 95% confidenceinterval. Interpret the confidence interval in context. What do we have to assume about the samplein order to have confidence in our estimate? 1. Find the upper and lower bound for this confidence interval.

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