Jury Duty A jury is supposed to represent the population. We wish to perform a simulation to determine an empirical probability that a jury of 12 people has 5 or fewer women. Assume that about 50% of the population is female, so the probability that a person who is chosen for the jury is a woman is 50%. Using a random number table, we decide that each digit will represent a juror. The digits 0 through 5, we decide, will represent a female chosen, and 6 through 9 will represent a male. Why this is a bad choice for this simulation?
Jury Duty A jury is supposed to represent the population. We wish to perform a simulation to determine an empirical probability that a jury of 12 people has 5 or fewer women. Assume that about 50% of the population is female, so the probability that a person who is chosen for the jury is a woman is 50%. Using a random number table, we decide that each digit will represent a juror. The digits 0 through 5, we decide, will represent a female chosen, and 6 through 9 will represent a male. Why this is a bad choice for this simulation?
Solution Summary: The author explains why the provided simulation method is a bad choice to determine an empirical probability that the jury has 5 women or fewer.
Jury Duty A jury is supposed to represent the population. We wish to perform a simulation to determine an empirical probability that a jury of 12 people has 5 or fewer women. Assume that about 50% of the population is female, so the probability that a person who is chosen for the jury is a woman is 50%. Using a random number table, we decide that each digit will represent a juror. The digits 0 through 5, we decide, will represent a female chosen, and 6 through 9 will represent a male. Why this is a bad choice for this simulation?
Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include:
Mileage (mpg)
Number of Cylinders (cyl)
Displacement (disp)
Horsepower (hp)
Research: Google to understand these variables.
Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp
Mean
Median
First Quartile (Q1)
Second Quartile (Q2)
Third Quartile (Q3)
Fourth Quartile (Q4)
10th Percentile
70th Percentile
Skewness
Kurtosis
Document Your Results:
In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command”
In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…
2 (VaR and ES) Suppose X1
are independent. Prove that
~
Unif[-0.5, 0.5] and X2
VaRa (X1X2) < VaRa(X1) + VaRa (X2).
~
Unif[-0.5, 0.5]
8 (Correlation and Diversification)
Assume we have two stocks, A and B, show that a particular combination
of the two stocks produce a risk-free portfolio when the correlation between
the return of A and B is -1.
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