Create a representative sample of a random variable

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Reference no: EM133626048

Assume you want to use the "rnorm" function in R to create a representative sample of a random variable that is normally distributed with mean 0 and standard deviation of 6000.

Execute set.seed(333) immediately prior to generating a 1,000 element representative sample for this random variable. You will notice that the mean of this sample is not quite equal to zero. Please enter the mean below (rounded to three decimal places).

Yerdu - Often, I want you to be able to find information on the internet that aids your ability to accomplish your analytics goals. In this question, assume you want to generate a continous uniform distribution in R using one of the "rfoo" functions (i.e. rnorm, rtruncnorm). (note: The use of the word foo in computer science is explained. Find the R function (in the form rfoo) that can generate n uniform random numbers that lie in the interval (min, max) to create a representative sample of a random variable that is uniformly distributed between 0 and 100. Execute set.seed(111) immediately prior to generating a 2000-element representative sample for this random variable. Please enter the maximum number below (rounded to three decimal places).

Muru - An expert on process control states that he is 95% confident that the new production process will save between $6 and $14 per unit with savings values around $10 more likely. If you were to model this expert's opinion using a normal distribution (i.e. google "empirical rule for normal distribution"), what standard deviation would you use for your normal distribution? (round your answer to 1 decimal place.

Reference no: EM133626048

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