Descriptive Statistics Kelly Calle QNT/561 February 15‚ 2015 John Carroll Descriptive Statistics and Interpretation Descriptive statistics is the term given to the analysis of data that helps describe‚ show‚ or summarize data in a meaningful way. Descriptive statistics does not allow conclusions beyond the data analyzed or reach conclusions regarding any hypotheses made. It is only a way to describe the data gathered. Descriptive statistics allows data to be presented in a more meaningful way
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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.The mean return should be less than the value computed in the spreadsheet. The fund’s return is 5% lower in a recession‚ but only 3% higher in a boom. The variance of returns should be greater than the value in the spreadsheet‚ reflecting the greater dispersion of outcomes in the three scenarios. b.Calculation of mean return and variance for the stock fund: (A) (B) (C) (D) (E) (F) (G) Scenario Probability Rate of Return Col. B Col. C Deviation from Expected Return Squared Deviation Col. B
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1.2 Below we list several variables. Which of these variables are quantitative and which are qualitative? Explain. a. The dollar amount on an accounts receivable invoice. Answer – Quantitative as the value is a number b. The net profit for a company in 2009. Answer – Quantitative as the value is a number. c. The stock exchange on which a company’s stock is traded Answer – Qualitative as it is descriptive or categorical. d. The national debt of the united states in 2009. Answer
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course was then recorded in hours. The table below summarizes the data collected. From this data we can note that the two methods have a very comparable completion time as the means of both are just above 75 hours. We can also note that the variance is less for the proposed method. To test the difference between the two population means we conducted the following hypothesis test. Ho:u_1-u_2=0 Ha:u_1-u_2≠0 With this hypothesis test established‚ using the information summarized earlier
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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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Econometrics Assignment 2 Group Members : Eliza Tan 01120120073 Praisya Lordrietta 01120120061 Wirhan Pandutama 0112012 UNIVERSITAS PELITA HARAPAN LIPPO KARAWACI-TANGERANG 2014 Gauss-Markov Theorem The Gauss-Markov Theorem is given in the following regression model and assumptions: The regression model (1) Assumptions (A) or Assumptions (B): Assumptions (A) Assumptions (B) E( If we use
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Cognitive Experimental Research Report. The Effect of Word and Picture Stimuli on the Number of Items Recalled. Abstract Based on Standing’s (1973) examination of recognition memory and the recall of words and pictures which supported the picture superiority effect‚ this experiment measured the number of items recalled by participants that had either been given word
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at the end of module 1 3 6 4 7 5 4 6 4 7 1 8 1 More 0 Q1 Descriptive Statistics Excel Worksheet b Q2 d Q3 e Q4 b 5. For the following sample of scores: 2‚ 6‚ 1‚ 4‚ 2‚ 2‚ 4‚ 3‚ 2 Mean variance standard deviation 2.889 2.099 1.537 Find the mean‚ variance and standard deviation 6. A sample of size 7 (n = 7) has a mean of M = 9. One of the sample scores is changed from x = 19 to x = 5. What is the value for the new sample mean? New Sample Mean 7 7. Using Excel
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Leading the list was Bank of America‚ followed by JP Morgan Chase and Citibank. Following is an Excel Analysis of total assets ($ billions) of these banks using the descriptive statistics feature. Study the output and describe what you can learn about the assets of these top 100 banks from the output. Top 100 Banks in the U.S Mean Standard Error Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count 76.5411 17.93374 21.97 13.01 179.3374 32161.9 22
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