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Question: a. What is a paired t-test?
b. Identify the two hypotheses involved in a paired t-test.
c. What is the "pairing" requirement? Give a concrete example.
d. How is a paired t-test similar to and different from an ordinary t-test for just one sample?
It is known that in a sack of mixed bean seeds, 35% are yellow beans. Use the normal approximation to the binomial distribution to find the probability that in a sample of 400 beans there are
If the probability of no accidents during a 24 hour period is 0.1353, what is the mean number of accidents per 24 hour period?
To what population do you think the results of this study apply? If you need more information to answer this question.
A set of n random variables X1, X2, X3,....,Xn, are independent and each uniformly distributed- Find the probability density function. - find the conditional PDF.-
Let {Y(t), t ≥ 0} be the stochastic process defined in Question no. 21. (a) Calculate the distribution of Y(1 )+ Y(2).
You are using a significance level of α = 0.05 to test a claim that p > 0.5. Your sample is a simple random sample of size n = 49. Calculate β for the test, assuming that the true population proportion is 0.7 and showing all work.
Is the collection of sets inspected a simple random sample, a stratified random sample, a cluster sample, or a systematic sample?
Use the definitional formula given below to find the derivative of the function.
The odds in favor of an event are the number of successes divided by the number of failures. The probability of this event occurring is the number of successes divided by the sum of the number of successes and the number of failures.
(a) What is the relative frequency (i.e., proportion) of observations falling in the 0.260-0.280 interval? (Give your answer to four decimal places.) (b) What is the shape of the data distribution?
Televisions The histogram shows the number of televisions in the homes of 90 community college students.
in a sample of 47 adults selected randomly from one town it is found that 9 of them have been exposed to a particular
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