In tests of a computer component, it is found that the mean time between failures is 674 hours. A modification is made which is supposed to increase reliability by increasing the time between failures. Tests on a sample of 38 modified components produce a mean time between failures of 703 hours, with a standard deviation of 68 hours. Test the claim that on average, the modified components last longer than 674 hours between failures, use a level of significance of 1%.   What evidence justifies the use of this test? Check all that apply: np>5 and nq>5 The sample standard deviation is not known The population standard deviation is known There are two different samples being compared The population standard deviation is not known The sample size is larger than 30 The original population is approximately normal   What is the test statistic for the given statistics? What is the p-value for this test?

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A: Given  n=25, Xbar=957, alpha=0.01, sigma=sd=52

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A: Solution-: Given: μ0=917,σ=57,x¯=963,n=25,α=0.01 We want to perform a hypothesis test to determine…

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A: Note: As per the guidelines, we are only allowed to solve three subparts, please post the other…

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A: It is given that the p-value is 0.9396.

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A: Given  Hypothesis  Ho: mu=750 vs H1: mu not =750  Sigma=sd=35, mu=750, n=26, Xbar=728

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A:

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A:

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A: Given, Sample mean, x¯ = 14.8 s = 9.9 n = 2820 Significance level, α = 0.5

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A: Solution: Given information: n= 36 Sample size  x= 966  hours Sample mean μ=920  hours  Population…

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A: given data  n = 100x¯ = 936 hourss = 87 hoursZ score  = 1.56lifespan of bulb (X) = ?

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A:

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A: It is given that  Population mean = 42.8 Population standard deviation = 14.7 Sample mean = 44.783…

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A:

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A: Denote μ as the population mean SCC of all milk produced.

Q: Q3 11kV SF6 circuit breakers in electrical distribution substations in an industrial park must be…

A: Given that: Sample size, n = 30 Sample mean, x¯=6845 Sample standard deviation, s = 766 Significance…

Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.