In a study of 799 randomly selected medical malpractice lawsuits, it was found that 505 of them were dropped or dismissed. Use a 0.01 significancelevel to test the claim that most medical malpractice lawsuits are dropped or dismissed.Which of the following is the hypothesis test to be conducted?OA. Ho: p=0.5H₁: p<0.5OC. Ho: p=0.5H₁: p=0.5OE. Ho: p>0.5H₁: p=0.5What is the test statistic?Z=(Round to two decimal places as needed.)OB. Ho: p0.5H₁: p=0.5OD. Ho: p<0.5H₁: p=0.5OF. Ho: p=0.5H₁: p>0.5 KIn a study of 799 randomly selected medical malpractice lawsuits, it was found that 505 of them were dropped or dismissed. Use a 0.01 significancelevel to test the claim that most medical malpractice lawsuits are dropped or dismissed.Uno. p.5H₁: p=0.5O E. Ho: p>0.5H₁: p=0.5What is the test statistic?Z=(Round to two decimal places as needed.)What is the P-value?P-value =(Round to three decimal places as needed.)What is the conclusion about the null hypothesis?uu. порCU.SH₁: p=0.5OF. Ho: p=0.5H₁: p > 0.5

We have given thatn = 799x = 505p̂ = x/n = 505/799 = 0.6320Significance level (α) = 0.01

Answered: K In a study of 799 randomly selected…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Refer to the sample data for polygraph tests shown below. If one of the test subjects is randomly selected, what is the probability that the subject is not lying? Is the result close to the probability of 0.476 for a negative test result? Did the Subject Actually Lie? No (Did Not Lie) Yes (Lied) Positive test results 16 39 Negative test results 36 14 The probability that a randomly selected polygraph test subject was not lying is (Type an integer or decimal rounded to three decimal places as needed.) Is the result close to the probability, rounded to three decimal places, of 0.476 for a negative test result? because there is a 0.050 absolute difference between the probability of a true response and the probability of a negative test result.
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Start of Questions The work week for adults in the US that work full time is normally distributed with a mean of 47 hours. A newly hired engineer at a start-up company believes that employees at start-up companies work more on average then most working adults in the US. She asks 12 engineering friends at start-ups for the lengths in hours of their work week. Their responses are shown in the table below. Test the claim using a 10% level of significance. Give answer to at least 4 decimal places.Note: You will have to copy and paste (or type) this data into Statcrunch and ask it to calcualte the sample mean and standard deviation. Hours 49 50 60 54 49 67 47 50 50 46 52 50 What are the correct hypotheses? H0: Select an answer σ² p s x̄ μ s² σ p̂ ? = ≠ ≥ > < ≤ hours H1: Select an answer s² μ s σ² x̂ p p̂ σ ? ≠ < ≤ > = ≥ hours Based on the hypotheses, find the following: Test Statistic= p-value= The correct decision is to Select an…
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