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A sample of Alzheimer's patients is tested to assess the amount of time in stage IV sleep. The number of minutes spent is Stage IV sleep is recorded for a random sample of 61 Alzheimer's patients. The sample produced a mean of 48 minutes of stage IV sleep with a standard deviation of 14 minutes. Compute and interpret a 95 percent confidence interval for this data.
a civil engineer is analyzing the compressive strength of concrete. compressive strength is approximately normally
The mean and the standard deviation of a sample of 100 bank customer waiting times are 5.46 and 2.475 minutes, respectively. a) Assuming the distribution is bell-shaped, calculate the waiting time intervals containing 68% and 95% of bank customer w..
The probability density of the net weight in ounces of a packaged compound is f(x)=2.0 for 19.75
For a candidate who guesses at all answers, find the mean and variance for the random variable X, the number of correct answers.
What is the portion of students obtaining scores between 85 and 95 and what is the score needed to be at the top 10% of the class and what is the probability that the value of the portfolio is greater than $2,000?
Assuming that these are a random sample of all publicly traded companies, construct a 95% confidence interval for the overall noncompliance proportion.
In a Sgallop poll of 1012 randomly selected adults, 9% said cloning of humans should be allowed. Use a .05 significance level to the test claim that less than 10% of all adults said that cloning should be allowed.
in estimating the cost of a pile of bricks measured as 2m15m1.2mthe tape is stretched 1 beyong the standard length if
Recent studies have shown that the super-cooling temperature of terrestrial frogs frozen at -6°C has a relative frequency distribution with a mean of - 2°C and a standard deviation of 0.3°C (The first of these studies was reported in Science, May ..
if z is a standard normal random variable compute the following probabilities by standardizing.1. what is p-2ltzlt1.82.
The standard deviation of the sample is $3,000. Interpret your findings.
What is a test statistic and how is it related to a critical value in hypothesis testing? What is the critical region in hypothesis testing and why is it important?
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