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When n =20 and p= 0.1, I can approximate the distribution of the sample proportion with a normal distribution with mean 2 and standard deviation 1.34. True or False?
What value is standard deviation for this data? What type of probability is this?
find a 95 confidence interval for the population mean if a sample of size 20 has a mean of 18.2 and a sample standard
A researcher is asked to determine the likelihood that a new medication for arthritis works better than a similar medication that's been around for a decade. How would the researcher approach this assignment?
That a sample of 40 females gives an average production which is more than that based on a sample of 36 males by more than 6 items, assuming sampling with replacement, and that, the sample size for the two sexes being the same, the average product..
A 99% confidence interval for the proportion () of all Lewisburg residents whose annual income exceeds $80,000 extends from 0.10 to 0.18. what is the correct statistical decision in this case?
In a random sample of 400 items, 88 are defective. If the null hypothesis is that 20% of the items in the population are defective, what is the value of ZSTAT?
the days to maturity for a sample of five money market funds are shown here. the dollar amounts invested in the funds
A random variable Y is uniformly distributed over a range of 0 to 2*pi. Another random variable X is related to Y by X=cos(Y).
an article contained the following observations on degree of polymerization for paper specimens for which viscosity
Someone gives you 10 to 1 odds that you cannot roll a double number with the roll of a pair of dice. You win $10 if you succeed and you lose $1 if you fail. What is the expected value of the game for you? What can be expected if you play 100 times..
How can the Binomial and Poisson probability distributions be utilized in solving business and marketing related questions? Identify an example of each.
A consumer products testing group is evaluating two competing brands of tires, Brand 1 and Brand 2. Tread wear can vary considerably depending on the type of car
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