sample of 37 kits and testing their resistivity. It is found that the mean resistivity of the sample kits is 225.6Ohms, with a standard deviation of SD = 3.5 Ohms. Using a level of significance of 0.05 and 0.1:G) determine whether there is enough evidence to support that the production manager's claim isreasonable.H) What can you conclude from the conducted hypothesis test? Activity 4:Your company manufactures control systems and customized special kits for educational purposes. These kitshave been tested and the results show that 92% are within an acceptable tolerance. The remainder were rejectedand need to be reproduced. If a random sample of 15 kits is tested, answer the following:A) What is the probability that 8 of the sample boards are out of tolerance?B) What is the probability that at least 4 of the sample boards are within the acceptable tolerance?C) What is the probability that the sample between 7 and 14 boards is out of tolerance?The company produces 100 kits daily and each kit has a mean output voltage of 12.5 volts and a standarddeviation of 2.2 volts. If the voltages of all kits produced daily are assumed to be normally distributed, determinethe following:D) The probability that a randomly selected kit produces a voltage greater than 10 volts.E) The probability that a randomly selected kit produces a voltage less than 6.2 volts.F) The probability that a randomly selected kit produces a voltage between 7.4 volts and 14.5 volts.(Hint, use the z-table provided to you by your instructor)The resistivity of the produced kits is also tested. The mean resistivity is 230 Ohm. The production managersuspects that the production line is producing too many out-of-tolerance components and should be stoppedand serviced. The quality assurance department in the company decided to make a study by taking a random

1) PAcceptable=92%=92100=0.92 n = 15 Note: As per guidelines we will solve the first question only,…

Answered: Your company manufactures control…

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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Organ Donors USA Today provided information about a survey of 5100 adult Internet users. Of the respondents, 2346 said they are willing to donate organs after death. In this survey conducted for Donate Life America, 100 adults were surveyed in each state and the District of Columbia, and results were weighted to account for the different state population sizes. a. What percentage of respondents said that they are willing to donate organs after death? b. Based on the poll results, what is the probability of randomly selecting an adult who is willing to donate organs after death? c. What term is used to describe the sampling method of randomly selecting 100 adults from each state and the District of Columbia?
According to CTIA, 41% of all U.S. households are wireless-only households (no landline). Choose four households at random. A. What is the probability that at least two will be wireless-only? B. What is the probability that none of them will be wireless-only? C. What is the probability that least 1 of them will be wireless-only? D. Find the mean and standard deviation for the number of households that are wireless-only.
The class I'm taking is statistics! I am completely stuck. Need help. I have attached the problem. Please view attachment before answering. Thank you!
Refer to the sample data for pre-employment drug screening shown below. If one of the subjects is randomly selected, what is the probability that the test result is a false positive? Who would suffer from a false positive result? Why? Pre-Employment Drug Screening Results Positive test result Negative test result Drug Use Is Not Indicated Drug Use Is Indicated Subject Uses Drugs 37 4. Subject Is Not a Drug User 17 35 The probability of a false positive test result is
It is known that the use of banned drugs can contribute to mental illness. The minister of health wants to put a cost to this disaster and request that you take a study. In Barbados 40% of mentally ill blame their illness on drugs. Without previous knowledge in Jamaica we assume that this is the same proportion here. You selected a random sample of 12Bellevue patients to review. What is the probability that 6 patients used the drugs that caused their illness.
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In an article that appears on a website,† Carlton Gunn, a public defender in Seattle, Washington, wrote about how he uses statistics in his work as an attorney. He states the following. I personally have used statistics in trying to challenge the reliability of drug testing results. Suppose the chance of a mistake in the taking and processing of a urine sample for a drug test is just 1 in 100. And your client has a "dirty" (i.e., positive) test result. Only a 1 in 100 chance that it could be wrong? Not necessarily. If the vast majority of all tests given—say 99 in 100—are truly clean, then you get one false dirty and one true dirty in every 100 tests, so that half of the dirty tests are false. Define the following events as given below. TD = event that the test result is dirty TC = event that the test result is clean D = event that the person tested is actually dirty C = event that the person tested is actually clean (a) Using the information in the quote, compute the following…
Refer to the sample data for pre-employment drug screening shown below. If one of the subjects is randomly selected, what is the probability that the test result is a false positive? Who would suffer from a false positive result? Why? Pre-Employment Drug Screening Results Positive test result Negative test result Drug Use Is Indicated Drug Use Is Not Indicated Subject Uses Drugs 42 11 Subject Is Not a Drug User 17 34
2. 46% of Canadians believe in ghosts. We randomly select a sample of 80 Canadians and ask them if they believe in ghosts. Let the random variable X be the number of Canadians in the sample who believe in ghosts. What is the approximate probability that there will be exactly 43 individuals who believe in ghosts in the sample?
4. Six employees of a marketing firm had effectiveness ratings as follows: 0.72, 0.46, 0.59, 0.64, 0.81 and 0.76. Find the probability of selecting an employee with the indicated effectiveness rating.a. Greater than 0.75. b.Less than 0.75 but greater than 0.5. c. Greater than the mean. d. Not less than 0.9.
It is known the 60% of toddlers have too much screen time. A randome sample of 8 toddlers were examined. What is the probability that 4 have too much screen time? O a. 0.7678 O b. 0.2322 0.0573 O d. 0.30
Indicate whether 25 is sufficient or whether a sample of 50 would be necessary. You will want to calculate the probability of the sample mean being between $11,000 and $13,000 for both a sample size of 25 and 50. (Thank You!)

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