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A multiple choice test consists of 60 questions. Each question has 4 possible answers of which one is correct. If all answers are random guesses, estimate the probability of getting at least 30% correct. Use the binomial correction.
Computing a linear regression equation to predict the future values of the dependent variable Y - Linear relationships into a single multiple regression.
Normal distribution with a mean value of 150 sec and a standard deviation of 20 sec. The fastest 10% are to be given advanced training. What task times qualify individuals for such training?
Determine whether the following equations have a solution or not? Apply the discriminant, are the solutions real, repeated real, or complex?
Assume the distribution of amounts purchased follows the normal distribution. For a sample of 50 customers, answer the following questions. What is the likelihood the sample mean is at least $25.00?
Using a present value table, your calculator, or a computer program present value function, answer the following questions. Assistance is needed with the formula to calculate the problems:
You randomly select 40 cans and carefully measure the contents. The sample mean of the cans is 127.9 ounces. Does the machine need to be reset? Explain your reasoning.
Standard deviation of 10 minutes. A random sample of 16 cars is selected. What is the probability that the sample mean is between 45 and 52 minutes.
In StaTScan what is the difference between a spatial cluster size to 25% of the population risk and one with 50% window ? In StaTScan what is the difference between space-time permutation and space-time?
You are Supervisor or Research for Doggie Heaven Biscuit Company. Your scientists have developed a new dog biscuit for the treatment of doggie breath.
ssuming that the shipment includes 3% defectives, what is the probability that the shipment will be accepted? (Hint: Use the binomial distribution.)
A pair of dice is tossed once. Let X denote the sum of the face values, and let Y denote the absolute value of the difference between the face values.
Suppose an appliance manufacturer is doing a regression analysis,using quarterly time-series data, of the factors affecting its sales of appliances.
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