At inspection, 40% of built bubble-jet printers are rejected. Calculate the likelihood that the third printer under inspection is the first approved printer.
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At inspection, 40% of built bubble-jet printers are rejected. Calculate the likelihood that the third
printer under inspection is the first approved printer.
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- The quality control manager of Green Bulbs Inc. is inspecting a batch of energy saving compact fluorescent light bulbs. When the production process is in control, the Mean number of bad bulbs per shift is 6.0. What is the probability that any particular shift being inspected has produced fewer than 5 bad bulbs.The likelihood that a bulb is defective is 7%, on a particular line. Eight light bulbs are randomly selected. What are the mean and variance of the number of defective bulbs?If a researcher conducts 37 tests, each with an alpha = .05, what is the probability that the researcher will get at least 1 statistically significant result, even if there's truly no effect? Report your answer as a proportion (not percentage), rounded to 2 decimal places. Hint: review the "P-Hacking" Crash Course video, specifically the part about family-wise error
- At a physical therapy center doctors work with patients to develop an exercise treatment plan to combat injuries. Assume that the time spent doing pool exercises per week has an unknown distribution with a mean of 4.5 hours and the standard deviation of 0.9 hours. A doctor believes most patients at the physical therapy center swim more per week. If the doctor randomly selects 32 physical therapy patients find the probability that the average time spent swimming is over 4.7 hours.Q3 A mixed-model assembly line has eight stations. Average cycle time is 15 mimutes, but times vary due to model type and natural randomness. The estimated standard deviation of processing time in a station is 4.5 minutes. Estimate the production rate for the asynchronous line if no buffer is allowed.Pregnant women are screened for a birth defect called Down syndrome. Down syndrome babies are mentally and physically challenged. Some mothers choose to abort the fetus when they are certain that their baby will be born with the syndrome. The most common screening is maternal serum screening, a blood test that looks for markers in the blood to indicate whether the birth defect may occur. The false-positive and false-negative rates vary according to the age of the mother. Mother’s Age False-Positive Rate False-Negative RateUnder 30 0.040 0.37630-34 0.082 0.29035-37 0.178 0.269Over 38 0.343 0.029 The probability that a baby has Down syndrome is primarily a function of the mother’s age. The probabilities are listed here. Age Probability of Down Syndrome25 1/130030 1/90035 1/35040 1/10045 1/2549 1/12 For each of the age 25, 30, 35, 40, 45 and 49, determine the probability of Down syndrome if the maternity serum screening produces a…
- A market researcher analyzes how many cases of bottled water a customer buys at a grocery store. The distribution has a mean of 3.0 and standard deviation of 0.7. Assuming a random sample of 400 customers, what is the probability that the total cases of bottled water purchased is less than 1,186?The likelihood that a bulb is defective is 9%, on a particular line. Ten light bulbs are randomly selected. What are the mean and variance of the number of defective bulbs?A population has an average of 125 and a standard deviation of 15. Calculate the probability that in a sample of size 75, the sample mean is greater than 130.
- A survey of property owners' opinions about a street-widening project was taken to determine if owners' opinions were related to the distance between their home and the street. A randomly selected sample of 100 property owners was contacted and the results are shown next. Opinion Front Footage For Undecided Against Under 45 feet 12 4 4 45-120 feet 35 5 30 Over 120 feet 3 2 5 What is the expected frequency for people against the project and who have over 120 feet of property foot-frontage? Select one: a. 1.1 b. 3.9 c. 5.0 d. 5.5An accounting firm annually monitors a certain mailing service's performance. One parameter of interest is the percentage of mail delivered on time. In a sample of 346,000 items mailed between Dec. 10 and Mar. 3—the most difficult delivery season due to bad weather and holidays—the accounting firm determined that 241,300 items were delivered on time. Use this information to make a statement about the likelihood of an item being delivered on time by that mailing service. Assuming a confidence level of 95%, the likelihood of an item being delivered on time (when it was mailed between Dec. 10 and Mar. 3) is in the interval (enter your response here,enter your response here). (Round to four decimal places as needed.)Consider two data sets from sampled populations, one with a high standard deviation and one with a low standard deviation. All else being equal, which dataset would have a lower probability of a Type One error?