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A manufacturer claims that he makes light bulbs each of which has a 0.9 probability of operating successfully when plugged in.
a. If 1000 light bulbs are tested what is the mean and standard deviation for this binomial probability function?
b. In the test of the 1000 bulbs 117 were defective when plugged in. What is the probability that 117 or fewer would be defective? (Use the normal approximation to the binomial probability function)
The issue of how much should be spent to solve particular U.S. social problems is a complex matter, and people have diverse and conflicting ideas on these issues.
The probability is 90% that the sample percentage will be contained within what symmetrical limits of the population percentage?
If a woman purchases Super Cola, what is the probability that it is a diet soda?
Explain why a strong correlation would be found between weekly sales of firewood and weekly sales of cough drops over a 1-year period. Does the strong correlation mean that one variable causes the other?
You own a stock called Insurate, Inc. Your profit for the stock is a random variable (W) with mean 1,000 and variance 400. You would like to buy more stock and you are trying to decide between Insurate
Let X be the random variable which denotes the number of saves that are made by the lacrosse goalie. Find the expected value and standard deviation of the random variable.
Why is it misleading to draw the conclusion from the test above that long-time exposure to cadmium reduces the vital capacity?
Give a brief definition and an example of the following: a. Descriptive Statistics b. Inferential Statistics
A normal population has a mean of 80.0 and a standard deviation of 14.0. Compute the probability of a value between 75.0 and 90.0.
In the following questions, you should demonstrate your understanding of sampling distribution:
If computing a causal linear regression model of y = a + bX and the resultant r2 is very near zero, then one would be able to conclude that:
If there are 5 choices for a question and there is a 50% chance that the student knows the answer, what is the probability that the student knew the answer to a question he correctly answered?
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