You have the following forecast about astock's returnProbability50%10%15%15%10%Return-20%-6%8%14%20%(a) Calculate the semi-interquartilerange and (b) the semi-variancebelow the mean. (c) Discuss theconditions under which the abovetwo should be used as measures ofrisk instead of the variance.

Answered: Image /qna-images/answer/58d933f4-6973-4124-8e66-9b7bd6540e8d.jpg

Answered: You have the following forecast about a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The data given to the right includes data from 35 candies, and 9 of them are red. The company that makes the candy claims that 34% of its candies are red. Use the sample data to construct a 90% confidence interval estimate of the percentage of red candies. What do you conclude about the claim of 34%? Construct a 90% confidence interval estimate of the population percentage of candies that are red. nothing%<p<nothing% (Type an integer or decimal rounded to one decimal place as needed.) Is the result consistent with the 34% rate that is reported by the candy maker? Yes, because the confidence interval includes 34%. No, because the confidence interval does not include 34%. ..... Weights (g) of a Sample Bag of Candy Red Blue Brown Green Yellow 0.838 0.725 0.935 0.801 0.962 0.789 0.859 0.852 0.754 0.863 0.963 0.815 0.988 0.957 0.921 0.898 0.706 0.942…
statistics and propability please give me ful answer thanks 1 UIIT is giving two training programmes. Two groups from BSSE were trained for the same task. For the first group trained by programme A, it took a mean of 28.74 hours with a variance of 79.39. For the second group trained by programme B, it took a mean of 20.5 hours with a variance of 54.76. Which training program has less variability in its performance?
If a manager adopted both project A and project B simultaneously, the variance in returns associated with this joint project would be: Project Boom (25%) A B 18.75. 75. 30. 500. $30 -$15 Recession (75%) -$15 $20
Consider the following table: Severe recession Mild recession Normal growth Boom Scenario Mean return Variance Covariance Probability 0.05 0.25 0.40 0.30 % Stock Fund Rate of Return Required: a. Calculate the values of mean return and variance for the stock fund. (Do not round intermediate calculations. Round "Mean return" value to 1 decimal place and "Variance" to 2 decimal places.) -30% -108 158 20% Bond Fund Rate of Return. -98 15% 8% -58 b. Calculate the value of the covariance between the stock and bond funds. (Negative value should be indicated by a minus sign. Do not round intermediate calculations. Round your answer to 2 decimal places.)
A stock analyst wondered whether the mean rate of return of financial, energy and utility stocks differed over the past 5 years. He obtained a simple random sample of eight companies from each of the three sectors and obtained the 5-year rates of return shown in the following table (in percents): Financial Energy Utilities 10.76 12.72 11.88 15.05 13.91 5.86 17.01 6.43 13.46 5.07 11.19 9.90 19.50 18.79 3.95 8.16 20.73 3.44 10.38 9.60 7.11 6.75 17.40 15.70 Source: Morningstar.com Required: (a) State the null and alternative hypothesis. (b) Are the mean rates of return different at the alpha = 0.05 level of significance? Please explain your answer, citing numeric and other evidence in support of your response.
N Career 1 Career 2 Career 3 1 59 72 58 2 43 79 49 3 55 81 60 4 53 86 47 Table 1 For Table 1, determine the following point estimates: The mathematical expectation. The variance. Root-mean-square deviation Correlation coefficient between X and Y. Correlation coefficient between X and Z. Correlation coefficient between Y and Z. The table values are in the image below
The number of daily proposals received by a developing country's government from enterprises interested in winning a contract for the construction of a new port facility is listed below. 2 3 2 4 3 5 2 1 6 4 7 2 5 1 6 Find population mean, median, mode, variance and standard deviation of the above data.(Step by step solution)
Fill in the blanks. a. Positive correlations between observations of the response variable result in an underestimate of ________. b. Data collected from a designed experiment is generally preferable to data obtained from ________. c. Adata point whose removal has a substantial effect on one or more sample regression coefficients is called an _________.
What do the box plots tell you about the variability of the data? a. A has greater variability because its median and mean are greater than B b. B has greater variability because its range and IQR are greater tha c. B has greater variability because its median & mean are greater than A d. A has greater variability because its range & IQR are greater than B
2017 STATISTICS FOR DECISION MAKING The Marketing Manager of Marina Mall records weekly purchases of customers. For last week, the total customer purchases were GH¢ 2,000,000. The customer accounts records at the Mall have an average purchase of GH¢48 and a variance of GH¢256. Assuming that the purchases are normally distributed: (a) What amount of the total purchases is over a customer purchase of GH¢60? (b) What amount of the total purchases is between GH¢50 and GH¢80 purchases inclusive (c) What amount of the purchases is less than GH¢10? per customer? Copyright C2011 Pearson Education B-24
A statistical program is recommended. A company that sells musical instruments has been in business for five years. During that time, sales of pianos increased from 12 units in the first year to 76 units in the most recent year. The firm's owner wants to develop a forecast of piano sales for the coming year. The quarterly sales data follow. Year Quarter 1 Quarter 2 Quarter 3 Quarter 4 1 2 3 4 5 4 7 11 12 18 2 4 forecast for quarter 2 forecast for quarter 3 forecast for quarter 4 3 9 10 1 4 5 7 13 5 14 16 22 35 Total Yearly Sales 12 29 35 50 76 (a) Use the following dummy variables to develop an estimated regression equation to account for any seasonal and linear trend effects in the data: x₁ = 1 if quarter 1, 0 otherwise; x₂ = 1 if quarter 2, 0 otherwise; and x3 = 1 if quarter 3, 0 otherwise. (Let t = 1 denote the time series value in quarter 1 of year 1; t = 2 denote the time series value in quarter 2 of year 1; ... and t = 20 denote the time series value in quarter 4 of year 5. Round…

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