Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
From a random sample we know that the average duration of unemployment in a low developed region A is 147 days (with standard deviation sA = 32 days and nA = 230 unemployed). Another random sample from a high developed region B reveals an average duration of unemployment of 96 days (with standard deviation sB = 43 days and nB = 180 unemployed). Is the duration of unemployment in region A significantly higher than in region B? Calculate also the p-value (p-Wert, empirisches Signifikanzniveau) of the test statistic.
Create a scenario where the binomial probability formula could be used to determine the probability of some number of successes, x, in some given number of trials,n.
Based on your answers to a through d, decide whether or not to reject the null hypothesis at the given significance level. Explain your conclusion in the context of the problem.
In the year 2006 the mean fare to fly from Charlotte, North Carolina, to Seattle, Washington, on a discount ticket was $267. A random sample of round-trip discount fares on this route last month gives:
Calculate the probability that a hand of 13 cards dealt from a normal pack of 52 contains exactly two kings and one ace. what is the probability that it contains exactly one ace given that it contains exactly two kings.
Compute mean and standard deviation for sample of N = 8 females and sample of N = 8 for males.
Assume it is known that the distribution of purchase amounts by customers entering a popular retail store is approximately normal with mean $25 and standard deviation $8.
Which test should we use to determine whether the difference between Mesa and Tempe is statistically significant? Why? Should it be one or two-tailed?
If you have multiple regression output with 2 independent variables and R-Square is .9682, what does R-Square indicate?
Consider a hypothesis test of H0: μ = 0 against H1: μ > 0 where μ is the mean percent change in total body bone mineral content of young women. The population standard deviation is σ = 2. The level of significance for the test is α = 0.05.
Do you think that these types of statistics can ever be accurate? How could this statistic be biased? In what ways could scientists misinterpret the results of their studies and come up with an incorrect statistic? What are your thoughts?
Perform the chi-square test for a uniform distribution. At α = . 01, does this sample contradict the assumption that readership is uniformly distributed?
The New York City Housing and Vacancy Survey showed a total of 59,324 rent-controlled housing units and 236,263 rent-stabilized units built in 194 or later.
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +1-415-670-9521
Phone: +1-415-670-9521
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd