Assume that Friday morning taxi-cab rides have times with a standard deviation of o=9.8 minutes. A cab driver recordstimes of rides during a Friday afternoon time period and obtains these statistics: n = 13, x= 17.7 minutes, s = 12.2minutes. Use a 0.01 significance level to test the claim that these Friday afternoon times have greater variation than theFriday morning times. Assume that the sample is a simple random sample selected from a normally distributedpopulation.Let o denote the population standard deviation of Friday afternoon cab-ride times. Identify the null and alternativehypotheses.= 9.8Ho: oH₁: o(Type integers or decimals. Do not round.)Identify the test statistic.> 9.818.60(Round to two decimal places as needed.)Identify the P-value.(Round to three decimal places as needed.)an example Get more help -Clear allCheck answerSC3-Scre3-0Scree43.55. OM 3033-0 40.98 PM 2023-0...

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Answered: sume that Friday morning taxi-cab rides…

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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The time necessary to complete the technical interview for the Google intership is normally distributed with a mean of sixty-three minutes, and a standard deviation of twelve minutes. Let the random variable X represent the number of minutes a randomly chosen student takes to complete the assessment. If a sample of three dozen students is taken, what is the standard deviation of the sample mean σX¯ and what is the probability that the sample mean would be 59 minutes or fewer?
Assume that weights of adult females are normally distributed with a mean of 79 kg and a standard deviation of 20 kg. What percentage of individual adult females have weights between 73 kg and 85 kg? If samples of 64 adult females are randomly selected and the mean weight is computed for each sample, what percentage of the sample means are between 73 kg and 85 kg? The percentage of individual adult females with weights between 73 kg and 85 kg is 23.6 % (Round to one decimal place as needed.) The percentage of samples of 64 adult females with mean weights between 73 kg and 85 kg is (Round to one decimal place as needed.)
According to a city's estimate, people on average arrive 1.5 hours early for domestic flights. The population standard deviation is known to be 0.5 hours. A researcher wanted to check if this is true so he took a random sample of 50 people taking domestic flights and found the mean time to be 2.0 hours early. At the 1% significance level, can you conclude that the amount of time people are early for domestic flights is more than what the city claims. Will you reject or not reject the null hypothesis and what is your conclusion in words? O Reject the null hypothesis; the city's claim is true. O Do not reject the null hypothesis; the city's claim is false and people arrive earlier than the city claims. O Reject the null hypothesis; the city's claim is false and people arrive earlier than the city claims. O Do not reject the null hypothesis; the city's claim is true.
A firm is bidding to provide T-shirts to football players of the CFL. A sample of 11 slotbacks gave a mean weight of 195.0 lb and standard deviation of 14.3 lb. The firm sells a shirt with just enough stretchiness to fit the variation of sizes of quarterbacks. To test if it would be reasonable to assume that this shirt could also fit all of the slotbacks if you know that the mean for quarterbacks is 192.7 lb and the standard deviation for quarterbacks is 11.7 lb : a. Test if the stretchiness of the shirt is sufficient to fit the spread in the size of slotbacks. b. Test if the average size of the shirts will fit the average size of the slotbacks.
Mr. Karim is the owner of Philips home appliance. Recently Mr. Karim observed a differencein the taka amount of sales between the men and women he employed as sales associates. Asample of 40 days revealed the men sold a mean of Tk.1400 worth of appliance per day. For asample of 50 days, the women sold a mean of Tk1500 worth of appliance per day. Assumethe population standard deviation for men is Tk200 and for women Tk250. At the 0.05significance level, can Mr. Karim conclude that the mean amount sold per day is larger for thewomen?
In a random sample of 750 toner cartridges, the mean number of a toner cartridge can print is 4302 and the standard deviation is 340. Assume the distribution of data is normally distributed The company that makes the toner cartridges guarantees to replace any cartridge that prints fewer than 3282. Approximately how many of the cartridges in the sample would you expect to be replaced under the guarantee policy?
A certain type of thread is manufactured wen a mean tensile strength of 75.3 klograms and a standard deviation of 4.8 kilograms. How is the variance of the sample mean changed when the sample size (a)increased from 64 to 900 ? (b) decreased from 256 to 36 ?
A research firm supplies manufacturers with estimates of the sales of their products from samples of stores. Marketing managers often look at the sales estimates and ignore sampling error. An SRS of 50 stores this month shows mean sales of 41 units of a particular appliance with standard deviation of 11 units. During the same month last year, an SRS of 52 stores gave mean sales of 38 units of the same appliance with a standard deviation of 13units. An increase from 38to 41 is a rise of 7.9%.. The marketing manager is happy because sales are up 7.9%. (a) Give a 95%confidence interval for the difference in mean number of units of the appliance sold at all retail stores. Give your answers to three decimal places. lower bound: upper bound:
Oil wells in a large fiels produce an average of 33.5 barrels per day. Fifteen randomly selected oil wells produce an average of 30 barrels of crude oil per day with a standard deviation of 3.5 barrels. Is there enough evidence to conclude that the oil wells are not producing an average of 33.5 barrels of crude oil per day. Test at a=0.01.use two tailed.
Assume that an internet provider monitors the amount of time that every customer accesses their home internet connection each day. The amount of time that all of their customers access their home internet connection is normally distributed. They access it for an average of 8.9 hours per day with a standard deviation of 2.1 hours. What proportion of samples of 100 will spend less than an average of 9 hours on their home internet per day? Your answer should have 4 decimal places.
The General Electric Company clams that the life of LED light bulbs are has a mean life of 500 hours with the standard deviation of 50 hours. Test the claim of the manufacturer if a random sample of 80 LED light tested and found out to be 450 hours only. Use 5% level of significance.
The breaking strengths of cables produced by a certain manufacturer have historically had a mean of 1825 pounds and a standard deviation of 70 pounds. The company believes that, due to an improvement in the manufacturing process, the mean breaking strength, μ, of the cables is now greater than 1825 pounds. To see if this is the case, 17 newly manufactured cables are randomly chosen and tested, and their mean breaking strength is found to be 1844 pounds. Assume that the population is normally distributed. Can we support, at the 0.05 level of significance, the claim that the population mean breaking strength of the newly-manufactured cables is greater than 1825 pounds? Assume that the population standard deviation has not changed. Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places, and round your responses as specified below. (If necessary, consult a list of formulas.) (a) State the null hypothesis H0…

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