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Assume that you toss a fair six-faced die two times.
1. What is the probability that you get an even number at the first toss? (Show work and write the answer in simplest fraction form)
2. What is the probability that the sum of the two tosses is at least 7, given that you get an even number in the first toss? (Show work and write the answer in simplest fraction form)
3. If event A is "Getting an even number in the first toss" and event B is "The sum of two tosses is at least 7". Are event A and event B independent? Use mathematical expression to justify your answer.
1.an experiment was performed to investigate lifetime of a component exposed to high heat. three different oven types
Which combination of factors has greatest likelihood of rejecting null hypothesis?
assume that a sample is used to estimate a population proportion p. find the margin of error e that corresponds to the
suppose the counselor found the sum of squared deviations from the mean of the sample to be 135. given that he tested
suppose that in the general population of men between 65 and 70 years old sixty percent have a resting systolic blood
The mean of the sampling distribution is 6 ounces. b) The standard deviation of the sampling distribution is 2.5 ounces. c) The shape of the sample distribution is approximately normal. d) All of the above are correct.
A population of scores forms a normal distribution with a mean of 40 and a standard deviation of 12. What is the probability of randomly selecting a score less than x=34?
The credit score of a 35 year old applying for a mortgage at Ulysses Mortgage Associates is normally distributed with a mean of 600 and a standard deviation of 100.
a professor uses a normal distribution to determine grades from a class of 100 students. the syllabus states that
suppose that the null hypothesis is h0 micro 1000 and the alternative hypothesis h1 micro 6 1000. assuming sigma
What are the limitations and assumptionbs of the t-test? What are some examples in your field (Nursing) for which you might use a t-test to compare a sample to the population and why?
The width of the interval without the finite population correction factor is wider than the confidence interval with the finite population correction factor.
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