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The mean sat verbal score is 401, with a standard deviation of 97. Use the empirical rule to determine what percent of the scores lie between 207 and 498. (assume the data set has a bell-shaped distribution).
The average diameter of sand dollars on a certain island is 3.60 centimeters with a standard deviation of 0.90 centimeters. If 36 sand dollars are chosen at random for a collection
Precisely (that is, using specific numbers) what does the central limit theorem tell us about the sampling distribution of sample means for samples of this size from this population?
Would it be reasonable to conclude that the population mean is 63 pounds?
Securities Exchange Commission (SEC) was $22,500, with a standard deviation of $7,500. The SEC overseers want to draw a sample of 100 accounts to help assess the impact of the fund's freeze on the account holders.
If random sample of 9 loads is selected for weight check, determine probability that mean weight of those loads is more than 40.60 tons.
From the course text and research I am able to create a frequency band with a single number (ie. 10, 20, 30, etc.). However, I am having difficulty creating the band with a number range (ie. $0-$999,999 or $1,000,000-$5,000,000).
Based on this sample information, create a 90% confidence interval for population mean yearly premium.
By using the normal probability distribution, what is the probability the car will be repaired in 35 minutes or less?
Create a histogram showing the distribution of symptom scores in this sample. Is this a skewed distribution? If so, is it skewed to the left or to the right?
The average age of the women was 45.582 with a standard deviation of 5.143. He uses this information to calculate a 95% confidence interval for the differnce in means, (-11.41, -5.422). The best interpretation of this interval is which of the foll..
Let X 1 , X 2 , X 3 , X 4 be a random sample from a Poisson distribution with parameter λ and let Y = X 1 + X 2 + X 3 + X 4 . You decide to test λ = 1.60 versus λ
It has been reported that the average US office worker receives 14 fax messages per day. For purposes of this exercise, we will assume that the daily number of fax messages is normally distributed with a standard deviation of 5.0 messages.
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