Miltiplication on a new 3-d computer
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Assume that Y takes upon the values {0, 1, 2, 3}, each with probability 1/4. Take random sample of 5 numbers from this distribution. In how many possible samples can the sum of the five numbers (Y1 + Y2 + Y3 + Y4 + Y5) equal to 1?
Assume you want to estimate the proportion of people in your community who would choose Thin Mints as their favorite Girl Scout cookie. Also suppose previous studies have shown this proportion to be around .4 .
Even if distribution of mothers' ages were somewhat skewed, would this confidence interval procedure still be valid with these data? Explain why or why not.
It has been conjectured by U.S. Census Bureau that "approximately 60% of foreign-born people who live in U.S. aren't naturalized citizens".
Studies have shown that random variable X, the processing time needed to do miltiplication on a new 3-D computer, is normally distributed with mean u and standard deviation 2 microseconds. A random sample of 16 observations is to be taken.
Let Y be normally distributed with the mean = 3 and standard deviation = 12. A random sample, n = 9, is observed, and sample mean, Y-bar is computed. Determine the mean of Y-bar.
Compute a 99% confidence interval on the mean time required to solve a problem. Another algorithm takes average of 6.6 cpu time. The solutions obtained are equivalent. Does new algorithm appear to be more efficient than the other with respect to ca
Assume you've a random variable that is uniformly distributed between 12 and 750. Determine the probability of observing a random draw greater than or equal to 235? Please show work.
Assume that the weight of cereal in a box is normally distributed around a mean of 20, measured in ounces, with a standard deviation of 0.11. What is the z value for a box with 19.85 ounces of cereal? Please explain how you got to the answer.
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