Conceptual Questions:1. Suture anchors are used to reattach tendons or ligaments to bone. You are creating ananchor system for the ACL that involves two suture anchors on the distal end of the joint.You plan a study that compares this new anchor system to the currently used anchorsystem. Based on your experimental study, you have two outcome measures: i) the failurestatus of the suture during an experimental protocol and ii) the ultimate tensile failureload. Complete the following tasks: A) Would the two experimental groups in Figure liibe considered independent or disjoint? Is the outcome measure in Figure 1i consideredindependent or disjoint? Provide a brief explanation for eachFigure li:Number ofOccurrences10Figure lii:40Failure Load (kN)30201050Current anchorsFailure ■ No failureCurrent anchorsExperimental anchorsExperimental anchors

Disjoint: Subjects in disjoint groups cannot simultaneously be part of both groups.Independent: In…

Answered: Conceptual Questions: 1. Suture anchors…

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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6 A valve manufacturer produces a butterfly valve composed of two semicircular plates on acommon spindle that is used to permit flow in one direction only (seen here:http://en.wikipedia.org/wiki/Butterfly_valve). The semicircular plates are supplied by a vendorwith specifications that the plates be 2.37 millimeters thick and have a tensile strength of fivepounds per millimeter. A random sample of 20 such plates is taken. Electronic calipers are usedto measure the thickness of each plate. A universal testing machine was used to test the tensilestrength. The sample data are found in homework 5.xlsx.a. Find point estimates of the thickness and tensile strength data. Compare with thespecifications.b. Construct a 95% confidence interval for mean thickness. Draw conclusions regarding thespecification relative to the confidence interval.c. Construct a 95% confidence interval for mean tensile strength. Draw conclusionsregarding the specification relative to the confidence interval.d. Construct…
Butz et al. evaluated the duration of benefit derived from the use of noninvasive positive-pressure ventilation by patients with amyotrophic lateral sclerosis (ALS) on symptoms, quality of life and survival. ALS, aka Lou Gehrig's Disease, is a degenerative disease of the motor neurons. One of the variables of interest is partial pressure of arterial carbon dioxide (PaCO2). The values below (measured in mm Hg) reflect the results of baseline testing on 20 of the 30 subjects in the study, as established by arterial blood gas analyses. (Am. J Med. Rehab. 2003, 82:597-604) 40 47 34 42 54 48 54 57 58 4554 54 43 44 63 42 33 43 52 38 Find the skewness and kurtosis using Excel or Matlab. And Determine if the data are too skewed or too leptokurtic or platykurtic. Also, Determine the coefficient of variation.
TABLE BELOW SHOWS THE REGRESSION ESTIMATION RESULT FOR THE PRICE AND DEMAND VARIABLES INCLUDED IN THE PREVIOUS QUESTION. PLEASE ESTIMATE THE DEMAND OF THE PRODUCT WHEN THE PRICE IS 15. PLEASE EXPLAIN YOUR PEASON) Intersection (c) Price A32.13 OC685 0.451.5 Coefficients Standard t Stat Error 2,142429 14,04948 0,000781 0,206155 -7,5186 0,004876 30,1 -1,55 P-Value
You are testing the null hypothesis that there is no linear relationship between two variables, X and Y. From your sample of n = 10, you determine that r = 0.80. a) What is the value of the t test statistic t STAT ? b) At the a = 0.05 level of significance, what are the critical values? c) Based on your answers to (a) and (b), what statistical decision should you make?
Solve the exercise. (In the other image, this is the correct answer, just to check)
We wish to test an effect of a drug that claimed to improves the patients with 80% of chance. The drug is given to 20 patients and we observed the number Y of people who improved. The hypothesis is Ho :p = 0.8 vs Hị : p< 0.8. Use the rejection region RR = {y< 12} and answer question a-e.
It says Ho: μ<2 is wrong and 0.199 is wrong.
We wish to test an effect of a drug that claimed to improves the patients with 80% of chance. The drug is given to 20 patients and we observed the number Y of people who improved. The hypothesis is: H0 : p = 0.8 vs H1 : p < 0.8. Use the rejection region RR = {y ≤ 12} and answer question a-e. a) State type I error in terms of Y and p. b) Find α. c) State type II error in terms of Y and p. d) Find β when p = 0. e) Find β when p = 0. f) Find the rejection region {y ≤ c} with α ≈ 0. g) For the rejection region in f), find β when p = 0. h) For the rejection region in f), find β when p = 0.
Please answer question (c)
(a) Examine the data. Is it reasonable to use the t procedures? (b) If your conclusion in part (a) is Yes, do the data give convincing evidence that the helium-filled football travels farther than the air-filled football?
In "Orthogonal Design for Process Optimization and Its Application to Plasma Etching" (Solid State Technology, May 1987), G. Z. Yin and D. W. Jillie describe an experiment to determine the effect of C2Fe flow rate on the uniformity of the etch on a silicon wafer used in integrated circuit manufacturing. Three flow rates are used in the experiment, and the resulting uniformity (in percent) for six replicates is shown below. Observations C„F. Flow (SCCM) 2 3 4 5 125 2.5 4.4 2.6 3.2 3.2 4.0 160 4.8 4.4 4.8 4.2 3.6 4.2 200 4.6 3.3 2.8 3.4 4.2 5.3 (a) Does C,F, flow rate affect etch uniformity? Construct box plots to compare the factor levels and perform the analysis of variance. Use a = 0.05. There is that flow rate affects etch uniformity. (b) Do the residuals indicate any problems with the underlying assumptions? No. Statistical Tables and Charts Yes.
1. You are the quality control manager in a plant that produces bunjee cords. Your responsibility is to oversee the production of the synthetic material in the cord. Specifically, your responsibility is to ensure that bunjee cords have the correct elastic qualities to avoid personal injury lawsuits. Your efforts are compounded in that you use two procedures for testing bunjee cord elasticity, procedure A and procedure B. Procedure A is generally subject to error, but few are very large. On the other hand, procedure B is very accurate but subject to large one-time errors. Specifically, forecast errors in evaluating the dynamic cord elasticity per pound of load are presented below for a random sample of four cords. Procedure A Forecast error: Calculate the MSE -.01 .01 -.02 .02 a. .0158 b. .00025 C. .015 d.o

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