Devise rule based upon failed log-in episodes
Devise rule based upon failed log-in episodes for computer network given the time between failed episodes has exponential distribution with mean of 40 minutes. The rule should have a false alarm rate of 1%.
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To evaluate the effect of a treatment, a sample of n = 16 isd from a population with a mean of µ = 42, and the treatment is administered to the individuals in the sample. After treatment, the sample mean is found to be M = 35.
A researcher conducts independent-measures study comparing two treatments as well as reports the t statistic as t(28) = 2.039.
Employ the value of the linear correlation coefficient r to determine the coefficient of determination and the percentage of the total variation that can be explained by the linear relationship between the two variables. R=0.1
Assume IQ scores were obtained from randomly chosen sibling. For 20 such pairs of people, the linear correlation is 0.917 and equation of the regression line is y=6.44+0.94x, where x shows IQ score of the younger child.
Devise rule based upon failed log-in episodes for computer network given the time between failed episodes has exponential distribution with mean of 40 minutes.
A company's manufacturing process employs 500 gallons of water at a time. A "scrubbing" machine then removes most of a chemical pollutant before pumping the water into a nearby lake.
Insurance companies track life expectancy information to assist in determining the cost of life insurance policies. Last year the average life expectancy of all policy holders was 77 years.
Determine the empirical rule and how is it employed to interpret data? If I have a standard deviation of 2 what does that mean in relation to this rule?
In three independent flips of the balanced coin, let A denote {first flip is a head}, B denote {second flip is a head}, C denote { first two flips are heads}, D denote { three heads on the three flips}.
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