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A sample of 40 Los Angeles pharmacies sells the Tamiflu 75mg prescription drug for about $137 for a moth supply ( S = $30.2 ). Ideally, pharmaceutical companies would like the drug to be sold for $150. Using the hypothesis test at the 0.05 level of significance, test whether there is a significant difference in price.
How significant are the result? What is the best estimate of the p-value for the result of this hypothesis test ?
Calculate a 95% confidence interval and interpret the results.
Need to get quiz done online goodness of fit and test for independence need to get over 80%
A student is taking a 10 question multiple choice quiz. There are four possible answers to each question. The student decides to guess at random on all 10 questions.
Sixty-four students in an introductory college economics class were asked how many credits they had earned in college, and how certain they were about their choice of major.
A standard deviation of 2.5lb. What is the largest annual per capita consumption of ice cream that can be in the bottom 15%?
A scientist wants a confidence interval of 90% and a margin of error of +-2 for a mean of a Normal population with σ =10. What size samples should she take?
The following output is the result of running a linear regression on WEIGHT (y) = average weight in pounds for American females. Based on this regression model output, what will be the weight of a Russian Female who is 71 inches tall?
1. epistasis is the control of a phenotype by two or more interacting genes. in a dominant epistatic model one gene can
If 9 loads are chosen at random for a weight check, find the probability that the mean weight of those loads is less than 47.6 tons. Assume that the variable is normally distributed.
For two samples from what are assumed to be normally distributed populations, the sample size and standard deviations are n1 = 10, s1 = 23.5, n2 =9 and s2=10.4.
Then the percentage of women in the populations is 53% and the percentage of men is 47%. If you were to sample 144 people at random, how many would you expect to be women?
the waiting time at a certain bank is approximately normally distributed with a mean of 3.7 min and a standard
At.05 level of significance, is there evidence to propose that mean life length of the batteries manufactured by this manufacturer is more than 400 hours?
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