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Solve inequality and graph the solution. Please explain how to how to solve this linear graph
p^2+9p+14>0 a) (-7,-2) b) (-00, -7) c) (-2, 00) d) (-00, -7) or (-2, 00)
Determine the conditions under which you would use a discrete probability distribution rather than a continuous probability distribution. Provide one (1) example to illustrate your reasoning.
Using the empirical rule what percentage of adults is 25 - 45 has iq score bet 70 and 130.
Use a significance level of alpha = .05 to test the claim that p > .5. The sample is a simple random sample n = 50. Show how to calculate beta for the test and assume the true population proportion is .6.
Population of consumers where 30% of them favored a new product and 70% of them disliked it. If 20 persons are sampled, what are the probabilities of finding: Binomial
Suppose we have a set of body temperatures with a mean of 98.6 degrees, and a sample standard deviation of 0.5 degrees. Assuming a normal distribution of body temperatures in the larger population, between what two values should 95% of all tempera..
In the last quarter of 2007 a group of 64 mutual funds had a mean return of 0.9% with a standard deviation of 5.2%. Consider the normal model N(0.009.052) for the returns of these mutual funds.
According to the empirical rule, if the data from a "bell-shaped" normal distribution ______ percent of the observation will be contained between 2 standard deviations below the mean and 2 standard deviations above the mean.
Here are heart rates for a sample of 30 students before and after a class break. At alpha =.05, was there a significant diffeence in the mean heart rate?
Based on the expected value of the lottery ticket, would you pay $1 for a ticket? Round the answer to 3 decimal places. Omit the "tiny_mce_markerquot; sign in your response.)
What is the probability that the mean completion time is between 1 and 2 hours, i.e.., 60 and 120 minutes?
What is the probability that at least one inspector will find a defective widget?
A physician wanted to estimate the mean length of time µ that a patient had to wait to see him after arriving at the office.
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