What test can be used in this problem? In a study of cancer pulmonary effects on guinea pigs, Francois et al. in 2012proposed that taking almond oil may decrease malignant alveolar cell counts. Onthe right are the results of the cell counts in a random sample of guinea pigs. At99% confidence level, test the claim that almond oil is more effective than thestandard drug by using the traditional of hypothesis testing. DATA SET:Almond Oil263324Standard161717172119192615191713201222201517131818151832183018STATISTICAL OUTPUT / RESULT:

The data of number of counts in guinea pig after using Almond oil and standard oil is recorded and…

Answered: In a study of cancer pulmonary effects…

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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please answer the last three parts
Please help me with this question if you know how to use the R software. I am very confused and my teacher tells me to type ?longley in the software but I still struggle to understand this question and answer it properly. Any help would be tremendously ap.p/reciated! Please don't answer it if you answered my question before!!!!>>
How many ways can you arrange the letters of ANTIDIFFERENTIATE if it must end with an E, and the R and the D must be adjacent to each other (RD or DR) ?
The bacterium Staphylococcus aureus is commonly found on the skin and rarely causes major problems. If it gets under the skin or into the lungs it can cause boils or pneumonia. If the strain of bacterium causing these problems is resistant to methicillin, the infections can be life threatening. Methicillin resistant Staphy- lococcus aureus or MRSA is, therefore, a major concern in hospitals and clinics. Given the death rate from MRSA lung infections is 20%, if 20 patients are admitted in the hospital find the following probabilities: (a) Less than 3 die (b) At least 3 die. (c) Between 6 and 3 die.
(2) Sdr= 1 x=. V1-x2
The defending attorney Mr. Justin Case was interested in how a lengthy trial could affect howlong a jury would deliberate on a case (and see if he should just cut to the chase). He observed asample of courtroom trials and noticed the following:Days inTrial (X) 5 2 6 4 5 6 2 4 2 1 HoursDeliberation (Y) 4 4 1 3 1 3 9 2 3 7 5) Mr. Case’s client’s most recent case took 10 days to complete. How long should he \ predict the jury deliberation will take?
F1.6 Question 15 on paper please
You are interested in understanding the impact of Student Teacher Ratios (STR) on Test Scores (i.e., STR is your variable of interest and Test Scores are your outcome variable). Let’s pretend you have 2 models and you must only pick 1. The models along with mock results are in the table below. The coefficients are presented with standard errors in parenthesis. Further assume that the STR coefficient in Model 1 is less biased than the STR coefficient in Model 2. But as you can see, the STR coefficient in Model 2 is more precisely estimated (it’s statistically significant) than the coefficient in Model 1. Which model (Model 1 or Model 2) do you prefer and why. X1 and X2 are different control variables. You do not need to know what they are in order to answer this question – you only need to know that they are different. Y = Test Scores Model 1 Model 2 STR -1.4 (0.9) -3.7** (0.9) X1 5.6** (2.2) X2 4.6** (2.1) Constant 680*** (45)…
Please show as much work as possible, and please do not skip steps. I really want to learn how to solve this, so if you use a axiom please include it. Problem Statement: One out of every one- thousand people have disease X. A new test for X is available, but it's not very accurate. If you have X, there is an 80% chance the test comes back positive and a 20% chance it comes back negative. If you don't have X, there is a 60% chance the test comes back negative and a 40% chance it comes back positive. Question: You are randomly chosen to be tested for X. Since the test is not very accurate, you areadministered the test 10 times; assume the outcomes of these 10 tests are independent. Sevenout of the 10 tests come back positive. Given these test results, what is the probability youhave X?
it is not D, what is the next best option?
A pharmaceutical company wanted to study the effectiveness of a new hair growth product in women. It recruited 1100 random women from the L.A. area and measured the length of their hair. They gave 500 women the new product in unmarked bottles to use over a 6-month period. The other 600 women received unmarked bottles with mostly water and fragrance to use over a 6-month period. None of the women knew which product they received. They found that 450 out of 500 women that received the new product showed hair growth of 1-2 inches. Only 90 out of 600 women that used the water/fragrance combination showed hair growth of 1-2 inches. Women who received the treatment are Blank %/ blank % = Blank times to show hair growth.
Imagine you need to come up with a diagnostic test to monitor the viral load of patients with HIV. If the viral load is higher than a set standard, there is evidence the anti-retroviral therapy is no longer working and the patient needs to be moved to a different therapy that costs more money. Thus, false positives incur higher costs. However, if the test misses higher than normal viral loads (for patients in treatment), then the patient runs the risk of developing AIDS. Hence, false negatives result in a likely deadly disease. How would you balance these two types of error in devising your test? Minimize beta by raising the one-tailed alpha, since greater power will reduce false negatives and save patients O Minimize the one-tailed alpha, since lower P-values indicate the test is highly significant and prevent prematurely switching the patients Minimize the one-tailed alpha and beta, since this action will prevent prematurely switching the patients and reduce false negatives, thereby…

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