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In 1965, about 44% of the US popuation had never smoked a cigarette. A nation survey of 1205 US adults during 2006 revealed that 615 had never smoked. Suppost a 95% confidence interval is (0.48215, 0.5386). Can we conclude from the confidence interval that the proportion of US adults that has never smoked has changed since 1965? how can you tell?
A random sample of 49 employees took a computer literacy test. The sample resulted in a mean score of 75 with a standard deviation of 21. Estimate the standard error of the mean.
a box has three red balls and four green balls in it. a gambler bets 1 on red. a ball is randomly chosen. the gambler
chi squarea. what happens to the degrees of freedom in a chi-square as the sample size gets larger? explain your
What is the "best strategy" ie gives the largest expected value? Is it "one toss", "two tosses", "three tosses", ....etc Justify your answer by showing all steps in reaching your conclusion.
every hour 10000 cans of soda are filled by a machine among which 300 underfilled cans are produced. each hour a
television viewing 8.35 hours per day per household. normal probabiity distirbution with a standard deviation of 2.5
At the .05 significance level, can we conclude that there is a difference in their mean times?
For this assignment employ the data below which was taken from the previous online class. Find out if the data is qualitative or quantitative, continuous or discrete, and determine the level of measurement.
The production line that packages boxes of raisins at a snack food manufacturer will be conisdered operating properly if the average weight of the boxes of raisin is 3.5 ounces with a standard deviation of 0.3 ounces.
Binomial Distribution: Control Charts this problem will be referred to in the study of control charts. In the binomial probability distribution, let the number of trials be n = 3, and let the probability of success be p = 0.0228.
To select a _________ sample, an intact group of subjects that represent the population is selected.
you need to estimate the mean number of travel days per year for outside salespeople. the mean of a small pilot study
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