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A survey found that 80% of college students had access to a tablet. A sample of 250 college students is taken. Find the mean and standard deviation for this binomial distribution.
Also, for n = 25 and n = 100, find the probability that the maximal distance of the particle to its starting point during the n steps will exceed 1.65.
Determine the value of the finite population correction factor if population size is 1000 and the sample size is 300? What is the smallest sample size for which finite population correction factor must be Used?
The possible samples of size two, taken with replacement from the population {0, 1}, are {0, 0},{0, 1},{1, 0},{1, 1}.
Forty percent of the sample wanted more local news. What is the 99% confidence interval for the proportion of readers who would like more coverage of local news?
Obtain the margin of errors for both part a and part b. Explain why the margin of error obtained in part b is larger than that in part a.
A group of doctors is deciding whether or not to perform an operation. Suppose the null hypothesis, H0, is: the surgical procedure will go well.
Calculate 95 percent and 99 percent confidence intervals for m. Using the 95 percent confidence interval, can we be 95 confident that m is at least 50 pounds? Explain.
if x and y are independent then conditional and marginal densities are equal.could someone please help me explain this
A survey conducted for the Northwestern National Life Insurance Company revealed that 70% of American workers say job stress caused frequent health problems
Use the binomial distribution with n = 20, π = .5 to compare accuracy of the normal approximation to the binomial. Compute the exact probabilities and corresponding normal approximations for y = 5.
Let {Xn T1 = 0, 1, . . . } be a (discrete-time) Markov chain whose state space is the set Z of all integers. Suppose that the process spends an exponential time τ (in seconds) with parameter λ = 1 in each state before making a transition and that..
How much of the variation in the dependent variable would be explained by the independent variable in this situation? Use job satisfaction and employee turnover as the variables for this problem.
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