3.1.14 WP An article in Knee Surgery, Sports Traumatol-ogy, Arthroscopy ["Arthroscopic Meniscal Repair with anAbsorbable Screw: Results and Surgical Technique" (2005,Vol. 13, pp. 273-279)] cited a success fac of more than 90%for meniscal tears with a rim width under 3 mm, but only a 67%success rate for tears of 3-6 mm. If you are unlucky enough tosuffer a meniscal tear of under 3 mm on your left knee and one ofwidth 3-6 mm on your right knee, what is the probability massfunction of the number of successful surgerics? Assume that thesurgeries are independent.

For meniscal tear, success rate more than 90% (0.90) with rim width less than 3 mm.success rate only…

Answered: WP An article in Knee Surge gery, ogy,…

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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Quantitative noninvasive techniques are needed for routinely assessing symptoms of peripheral neuropathies, such as carpal tunnel syndrome (CTS). An article reported on a test that involved sensing a tiny gap in an otherwise smooth surface by probing with a finger; this functionally resembles many work-related tactile activities, such as detecting scratches or surface defects. When finger probing was not allowed, the sample average gap detection threshold for m = 5 normal subjects was 1.62 mm, and the sample standard deviation was 0.53; for n = 10 CTS subjects, the sample mean and sample standard deviation were 2.36 and 0.85, respectively. Does this data suggest that the true average gap detection threshold for CTS subjects exceeds that for normal subjects? USE SALT State and test the relevant hypotheses using a significance level of 0.01. (Use μ₁ for normal subjects and 2 for CTS subjects.) 0 Но М1-М2=0 Hải My My 20 | Ho: M₁ M₂ = 0 на: H1 - H2#0 о но: 41-H2=0 Hải My M2 > 0 ⒸH₁ H₁ H₂ =…
Comment on the P-value for testing the claim μ1- μ2=0
Can you please explain where the critical value and rejection region came from? I attached the question as well. I just need an understanding of where the critical value and rejection came from, please break it down for me because I can't figure it out, thanks. I circled it in blue
What is the critical value? (Round to three decimal places)
find the critical value and identify the rejection region. Also find the standard test
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.
I did this question already, I would just like some confirmation if my answers are correct. my answers to this problem were: Reject H0 and The test statistic falls within the region.
If a treatment is expected to decrease scores in a population with µ= 30, then the alternative hypothesis is µ ≤ 30. True or false?
(a) A research has been conducted an experiment to compare the deflection (um) between two types of material for cutting tool in milling machining process. About 30 samples of cutting tool for material A and 30 of cutting tool for material B has been used for during the test. Table 2(a) shows several descriptive statistics represent the data of tensile strength. 2 Table 2 (a) Descriptive statistics for deflection (um) Material Number Minimum Q1 median Q3 Маximum of value value specimen A 30 0.462 3.453 6.415 8.548 13.599 В 30 0.2 2.037 4.157 7.716 15.491 (i) Plot a box plot based on recorded data given in Table 2(a) (ii) Based on the box plot, which material of cutting tool is have better performance?State your reason (ii1) Suppose that material A produce deflection of 4.4 µum. The data is wrongly recorded as 44 um. What you can interpret about the box plot? (iv) Calculate the value of IQR for both materials

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