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The sample mean=0.9075 and standard deviation=0.03. If the true process mean=0.93, how likely is it to observe a sample mean less than or equal to 0.9075? Based on this probability, does it appear that the process mean is below target?
A medical researcher suspects that the pulse rate of smokers is higher than the pulse of non smokers. Use the sample statistics below to test the researchers suspicion.
A random sample of 300 beer drinkers is selected and each member of the sample is asked to choose between two brands of beers: Brand A and Brand B. The results are that 165 prefer Brand A and 135 prefer Brand B.
testing equality of variances.over the last several years the use of cell phones has increased dramatically. according
A quality control engineer wanted to estimate the mean weight (in grams) of M&M candies being produced on a certain machine in the factory. After collecting an appropriate random sample of M&M candies, he obtained the following weights:
Suppose the correlation between weight and height for adults is +.80. What proportion (or percentage) of the variability in weight can be explained by the relationship with height?
A corporation owns a factory that produces sulfuric acid. Because of changing conditions, the plant's output is quite variable. The company's president has observed that the output is normally distributed with a mean of 8,200 pieces per hour.
The insurance company charges an annual rate of $250 for the collision coverage. What is the expected value of the collision policy holder?
Compute cumulative probabilities for these numbers in second column. Then create a histogram illustrating data distribution. Using generated Normal probability table, determine probability of Pr(X
Determine the probability that no more than 10 firms are perfectly competitive?
In a recent year, the FCC reported that the mean wait for repairs for AT&T customers was 25.3 hours. In an effort to improve this service, suppose that a new repair service process was developed.
Write ten-step study plan with suitable example that will permit you to analyze your data.
How do we calculate the upper and lower limits of one sided and two sided 95% confidence level of difference in proportion when comparing two groups in clinical research.Could You kindly help with some formula for calculating these.
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