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Suppose the number of radios in a household has a binomial distribution with parameters n = 12, and p = 80 %. Find the probability of a household having: (a) 7 or 9 radios (b) 7 or fewer radios (c) 7 or more radios (d) fewer than 9 radios (e) more than 7 radios
assume that you want to test the claim that the paired sample data come from a population for which the mean difference
errors in a billing process often lead to customer dissatisfaction and ultimately hurt bottom-line profits. an article
1. construct a confidence interval of the population proportion at the given level of confidence. x120 n300 99
for a particular study at the 5 significance level we were able to reject a null hypothesis that two population
a srs of 21 orangutans is selected and 65 cc of blood is drawn from each orangutan using a 100 cc syringe. this method
according to a recent report by the government new home construction fell to an 18-month low in october 2010
The mean of a normal probability distribution is 60; the standard deviation is 5.
Replacement times for TV sets are normally distributed with a mean of 8.2 years and a standard deviation of 1.1 years. Find the probability that a randomly selected TV will have a replacement time less than 5 years.
The National Center for Health Statistics indicate that 29.9% of a sample of men and 0.5% of a sample of women are 6" or taller. Are these results generally consistent with your calculations?
Assuming the manufacturer's claim is true, what is the approximate probability of observing a sample mean of 52 months or less?
How can you can discriminate between data that can be analyzed with the chi square and data that can be analyzed with the ANOVA?
Calculate the standard deviation of the sample mean for samples of size 1, 4, 25, 100, 250, 500, 1000, and 5000. Graph your results with the sample size on the x axis and the standard deviation on the y axis.
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