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Weights of regular coke. Using sample data on the weights of coke, we find that the mean is 0.81682 lbs., the standard deviation is 0.00751 lbs, and the distribtution is approx. bell-shaped. Using the empirical rule, what is the approx percentage of cans of regular coke with weights between 0.80931 lbs. and 0.82433 lbs?
prevent coronary artery vasoconstriction and the attendant reduction in blood flow to the heart and mechanical function.
The mean is a useful measure, but it can be misleading. Describe a circumstance when the mean is very useful as the average and a circumstance when the mean is very misleading as the average.
Provide a brief description of the variable and whether the scale of measurement is nominal, ordinal, interval, or ratio, and why. Explain what it means to say that this variable is "normally distributed."
Suppose the probability of the worst-case scenario increases Compute the expected value of perfect information
Consider the following estimated regression equation, based on 10 observations.
Determine: SS(xy)Linear correlation coefficient, r. Bar graph below compares mean time in seconds for 7-yr old girls to complete certain task.
Event A occurs with probability 0.2. Event B occurs with probability 0.3. Event C occurs with probability 0.4. If A, B, and C are disjoint, then
Compute the range, variance, standard deviation, and coefficient of variation. Compute the Z scores. Are there any outliers?
Explain this result (including the underlying logic of the computations) to a person who understands hypothesis testing involving a single sample and a known population, but knows nothing about t tests.
A processor of carrots cuts the green top off each carrot, washes the carrots, and inserts six to a package. Twenty packages are inserted in a box for shipment. To test the weight ofthe boxes, a few were checked.
At α = .05, is there a difference in variances? Illustrate all steps clearly, including illustration of the decision rule.
You have two unbiased estimates, e 1 and e 2 , of a quantity with variances V 1 and V 2 respectively, and covariance Cov {e1,e 2 } = C. Form a new unbiased estimate:
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