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A random sample of 15 automobile mechanics certified to work on a certain type of car was selected, and the time (in minutes) necessary for each one to diagnose a particular problem was determined, resulting in the following data:
Use the Wilcoxon test at significance level .10 to decide whether the data suggests that true average diagnostic time is less than 30 minutes.
The president of the United States is thought to have a positive approval rating of 58% of the people at a certain time. In a random sample of 1200 people, what is the approximate probability that the number of positive approvals will be at least ..
the beer institue conducted a study with looking at beer purcheses per capita across states. some states buy more beer
according to the uw madison 2003-2004 factbook 11488 of the 24890 students enrolled at uw madison during that year were
an unfair coin comes up heads 38 of the time. if the coin is flipped 12 times what is the probability that it comes up
suppose we roll a die 10 times. what is the approximate probability that the sum of the numbers obtained lies between
a) Under what circumstances can z be greater than one? b) Under what circumstances can a probability be greater than one?
Find the point estimate for the population proportion, the margin of error for a 95% confidence and then construct to the 95% confidence interval for the population proportion
clark heste is an industrial engineer at lyones products. he would like to determine whether there are more units
Take the Independent Variable (1) and conduct research on comparing the Dependent variables (3) and conduct analysis using SPSS (i can do this part) and write a paper with methods and results. More details can be provided if interested.
a standardized test has a mean of 104 and a standard deviation of 16. we want to be 98 certain that we are withing 4
What proportion of 330 cci cars fall between 26 to 30 miles per gallon range? Compute the percentage of each of the car models that get 30 or more mpg.
Consider the financial market with N = 1, M = 1, r = 0, S1(0) = 100, S1(1) = 130, 110, or 80, all with positive probability. Find all possible risk-neutral probability measures.
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