Ethical Issues in The 2002 Steven Spielberg Movie Minority Report Technology is progressing every day. We have come so far in the past ten years. Imagine life in 2054‚ and what life will be like. That is what Philip K. Dick did in 1956 when he wrote the short story Minority Report‚ which was later produced as a movie. In the movie Minority Report‚ a team of officers led by John Anderson (Tom Cruise)‚ work together in the precime division. They collect information given by precogs to find
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were unequal variances amongst both male and female data sets. Results There is a normal distribution of the data with ranges in size from size 5 to size 14 amongst the participants. With these ranges‚ the mean is 9.142‚ with a standard deviation of 2.583 and a variance of 6.670. Appendix B: Male vs. Female data sets‚ show the mean‚ standard deviation and variance for both of these sets respectively. Female data sets have a mean of 7.111‚ standard deviation of 1.131‚ and a variance of 1.281 whereas
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E720 Notebook Assignment: Correlation Kandell 1 Amount of Sleep and GPA in Graduate Students at Ohio University Many graduate students may not be receiving enough sleep at night. With increased workloads and responsibilities many students are forced to sacrifice their sleep hours to keep up with the work. This means that students are forced to stay up later and get up earlier. It has been found that lack of sleep can reduce ones mental capabilities like a lack of focus. With graduate students
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been 10% of the number of employees in a given year. 2) The number of workplace injuries‚ X‚ typically follows a Poisson distribution with a parameter λ‚ where E(X) = λ and Variance(X) = λ. 3) We can reasonably approximate the Poisson distribution via a Normal distribution‚ with the same expected value and variance (according to Central Limit Theorem‚ for which you don’t need to know the details). 4) You will also need to use the critical value for the standard Normal distribution (i.e
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expected real returns you were getting earlier. If that is the case‚ use five expected real return levels that you can attain. viii) Compare the investment opportunities implied by part (vi) to those in part (vii). ix) Explain the pros of the mean variance paradigm. x) Explain the cons. I will describe how to perform portfolio optimization in class. Excel is equipped with an optimizer (Solver) that requires you to specify what you are trying to maximize or minimize‚ the variables (weights)
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portion of a population. We often use information concerning a sample to make an inference (conclusion) about the population. Parameter - describes a characteristic of the population‚ eg: the population variance Statistic- describes a characteristic of a sample‚ eg: the sample variance Frequency Distribution and Histograms Class - a collection of data which are mutually exclusive Frequency distribution - a grouping of data into classes Relative frequency distribution - calculates the
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20 Diameter‚ xk 14.5 20.3 26.2 30.5 23.4 21.6 17.8 27.2 23.6 20.8 Age‚ yk 61 80 114 147 122 106 82 88 97 99 ¯ (a) Treating the trees as a simple random sample‚ estimate the mean age of trees in the stand Y ‚ with a variance estimate‚ 95% confidence interval‚ and RSE. Comment on the quality of the estimate. (b) Draw a scatterplot of these data (make sure the x and y axes both start at zero). Fit a regression line y = α +βx+ε to the data‚ and draw it on to the plot
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expected return for each unit of risk. The calculation is based on forecasts of each asset’s long-term return and volatility and correlations among the various assets. Method showed how the variances of individual stock returns and the correlations of those returns can be combined to calculate a value for the variance of a portfolio made up of those stocks. Based on the received data of possible asset allocation we were able to draw an efficient frontier. The efficient frontier is the curve that shows
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University of Southern California Department of Economics ECON 317 Introduction to Statistics for Economists Prof. Safarzadeh Assignment # 2 Student Name: ________________ Answer all the questions on the spaces provided. Underline your answers and show your calculations and work on the tables. Item |Speed |Mileage | | |X - X |(X- X)2 |(Y-Y) |(Y-Y)2 |(X-X)(Y-Y) | | | |1 | 30 | 25 | | | | | | | | | | |2 | 50 | 20 | | | | | | | | | | |3 | 35 | 23 | | | | | | | | | | |4 | 45 | 21 | |
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and b E. neither a nor b 2.Assume that stock market returns do follow a single-index structure. An investment fund analyzes 500 stocks in order to construct a mean-variance efficient portfolio constrained by 500 investments. They will need to calculate ________ estimates of firm-specific variances and ________ estimates for the variance of the macroeconomic factor. A. 500; 1 B. 500; 500 C. 124‚750; 1 D. 124‚750; 500 E. 250‚000; 500 3.Suppose you held a well-diversified portfolio with a very
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