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Consider the following two economic characteristics with two possible outcomes each: employment (increase, decrease) and economic trend (positive, negative). Let the probability of a decreasing employment be 0.6 and the probability of a positive economic trend 0.5. Further, assume that the probability of a decreasing employment given a negative economic trend is 0.7.
The scheduled commuting time on the Long Island Rail Road from Glen Cove to New York City is 65 minutes. Suppose that the actual commuting time is uniformly distributed between 64 and 74 minutes.
Use differential calculus to find both sales volume at which revenue is maximised and the maximum revenue available from sales of product X.
Do the data indicate a significant difference between the frequency distributions for male and females? Test at the .05 level of significance and describe the difference.
Identify a research question from your professional life, research interests, or everyday experience that could be addressed by this analysis.
Probability distribution described by the following density curve and The expected value of the sum of the weights of the two oranges, in pounds
The average gas mileage of a certain model car is 29.0 miles. If the gas mileages are normally distributed with a standard deviation of 0.6 miles per gallon, find the probability that the car has a gas mileage of between 28.8 and 29.2 miles per ga..
Use a calculator with mean and standard deviation keys to verify that the sample mean is x = 5.63 pups with the sample standard deviation s = 1.78 pups. (b) Find a 75% confidence interval for the population.
Determine a 95% confidence interval for the true mean weight of such boxes?
Simulate 50 observations from a normal distribution with mean 0 and standard deviation 1. make a normal plot.
Describe the advantages and disadvantages of quasi-experiments? What is the fundamental weakness of a quasi-experimental design? Why is it a weakness? Does its weakness always matter?
Suppose the annual return on XYZ stock follows a normal distribution with mean 0.12 and standard deviation 0.30.
In you determine the GPA of 10 members of the class and then calculate the average, will the number you get necessarily be the same as the average GPA for the whole class? On what factors would you expect the reliability of the estimate to depend..
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