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The consequences of the central limit theorem is that if we end up averaging the measurements of a particular quantity, the distribution of an average tends on going toward a normal one?
At the 0.01 significance level, can we conclude that the mean number of patients per day is more than 25? Estimate the p-value and interpret it.
Make a histogram showing the probabilties of r = 0, 1, 2, 3, 4, 5, 6, 7 or 8 defective syringes in a random sample of 8 syringes.
Draw two pie charts, which allow the total yearly exports to be compared. Explain the trend in the export of fish as shown in the two pie charts.
Katie is studying aggression among adolescent girls. She believes that there is a relationship between the level of interaction a girl has with her mother and her level of aggression.
We want to estimate the population mean within 5, with a 99% confidence level. The population std dev is estimated to be 15. How large is the required sample size?
Considering that the probability of event C is .44, of event D is .20, and the probability of their intersection is .088, determine whether C and D are dependent or independent events.
Conclude the finite population, correction factor.With the population size of 1,000 and a planned sample size of 200, what is the finite population, correction.
According to the Insurance Institute of America, a family of four spends between $400 and $3800 per year on all types of insurance. Suppose the money spent is uniformly distributed between these amounts.
One-fourth of the residents of the Burning Ridge Estates leave their garage doors open when they are away from home. The local chief of police estimates that 5 percent of the garages with open doors will have something stolen
Compute the minimum sample size required assuming that no prior information is avaiable?
Perform a hypothesis test by using.04 level of significance to find out if there is a difference between the population means.
He randomly selects a sample of 10 items of the procduct from a large lot ready to be shipped. He (given that) the true proportion of perfect condition items is only 80% what is the probability that the lot will not be shipped?
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