some (though not necessarily every bit) of work for any substantial calculations. 1. (Each part 5 points) Suppose . That is‚ X has a normal distribution with μ=30 and σ2=144. 1a. Find a transformation of that will give it a mean of zero and a variance of one (ie.‚ standardize ). Let the transformed variable be named Z. We desire μz=0‚ σ2z=1. This means 0=a+b μX and b2 σ2X=1. One solution to this system of equations is b=1/12 and a=-5/2. Of course‚ if you recognized the fact that our standard
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on a group to describe or reach conclusions about that same group only. Descriptive statistics are the tabular‚ graphical‚ and numerical methods used to summarize data. Collect‚ organize‚ summarize‚ display‚ analyze Eg: According to Consumer Reports‚ General Electric washing machine owners reported 9 problems per 100 machines during 2002. The statistic 9 describes the number of problems out of every 100 machines. Inferential statistics: Using sample data to reach conclusions about the population
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Katie Ebert JET2 Task 2 #000276281 There are a few areas of concern when looking over Competition Bike’s budget for the upcoming year (Year 9). This budget estimates that 3‚510 units will be sold. CB has just experienced a 15 % decline in sales‚ due to the economic situation. In year 8‚ CB sold 3‚400 units. This flexible budget is allowing 110 more units be added into the mix. Although sales trends have remained consistent‚ despite the decline in sales from professional riders‚ it might
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is the variance of this particular dimension. Firstly‚ the distance on each dimension between the host country j and the home country (in this case Germany). Secondly‚ this number is squared. After squaring minus each variable is divided by the variance of that variable. And finally‚ all these four variances are added together and divided by 4. 2. What is the difference between mean and variance? Can you explain the example given in the lecture in your own words? Mean and variance are both
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would it affect the graph if the broker were to charge the full amount of the fee? 4. Derive the optimum portfolio weights for a portfolio with two uncorrelated assets. 5. Suppose there n mutually uncorrelated assets. The return on asset i has variance i2 ‚ i 1‚2‚...‚ n but the expected rates of return are unspecified at this point. The weight of asset i in the market portfolio is xi ‚ i 1‚2‚...‚ n . Assume there is a risk-free asset with rate of return
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do not remain static. With the change in circumstances‚ if the standards are not revised the same become impracticable. The fixing of responsibility is not an easy task. The variances are to be classified into controllable and uncontrollable variances. Standard costing is applicable only for controllable variances. For instance‚ if the industry changed the technology then the system will not be suitable. In that case‚ we will have to change or revise the standards. A frequent revision of
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Charismatic Condition Mean 4.204081633 Standard Error 0.097501055 Median 4.2 Mode 4.8 Standard Deviation 0.682507382 Sample Variance 0.465816327 Kurtosis 5.335286065 Skewness -1.916441174 Range 3.5 Minimum 1.5 Maximum 5 Sum 206 Count 49 Confidence Level(95.0%) 0.196039006 In both the Charismatic and the punitive condition data sets there were 49 people surveyed. We know this because we were able to use descriptive statistics to show the count and that shows the number of people
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Week 5 Problems and questions ACC 349 a. Chapter 8 – Exercise E8-11 E8-11 Allied Company’s Small Motor Division manufactures a number of small motors used in household and office appliances. The Household Division of Allied then assembles and packages such items as blenders and juicers. Both divisions are free to buy and sell any of their components internally or externally. The following costs relate to small motor LN233 on a per unit basis.
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ANALYZING A PORTFOLIO a 58. You want your portfolio beta to be 1.20. Currently‚ your portfolio consists of $100 invested in stock A with a beta of 1.4 and $300 in stock B with a beta of .6. You have another $400 to invest and want to divide it between an asset with a beta of 1.6 and a risk-free asset. How much should you invest in the risk-free asset? a. $0 b. $140 c. $200 d. $320 e. $400 ANALYZING A PORTFOLIO d 59. You have a $1‚000 portfolio which is invested in stocks A
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A NOTE ON HYPOTHESIS TESTING |Significance Level |One-Sided Test |Two-Sided Test | |0.10 |1.285 |1.645 | |0.05 |1.645 |1.960 | |0.01 |2.33 |2.575 | Part A. Single-Sample
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