Calculate the 95% confidence intervals for the four different investments included in the following table. S&P TSX Composite Index Average Return (%) Standard Deviation of Returns (%) 9.97 16.18 ... S&P 500 Index in CAD 10.05 18.28 Long-Term Gov't of Canada Bonds 8.37 10.68 The 95% confidence interval of the S&P TSX Composite Index is between % and %. (Round to two decimal places. Use ascending order.) Canadian Treasury Bills 5.19 4.38

Calculate the 95% confidence intervals for the four different investments included in the following table. S&P TSX Composite Index Average Return (%) Standard Deviation of Returns (%) 9.97 16.18 ... S&P 500 Index in CAD 10.05 18.28 Long-Term Gov't of Canada Bonds 8.37 10.68 The 95% confidence interval of the S&P TSX Composite Index is between % and %. (Round to two decimal places. Use ascending order.) Canadian Treasury Bills 5.19 4.38

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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Part 1 of 3 A researcher was investigating the size of math departments in Texas colleges. She believed the population standard deviation was 1.9. A sample of 42 colleges found their mean was 12.5. Find the 3-decimal small value of the 95% confidence interval of the mean. Part 2 of 3: Find the 3-decimal large value of the 95% confidence interval of the mean. Part 3 of 3: Find the 3-decimal margin of error
A simple random sample of size n is drawn from a population that is normally distributed. The sample mean, x, is found to be 19.4, and the sample standard deviation, s, is found to be 4.3. (a) Construct a 95% confidence interval about μ if the sample size, n, is 31. (b) Construct a 95% confidence interval about μ if the sample size, n, is 63. How does increasing the sample size affect the margin of error, E? (c) Construct a 98% confidence interval about μ if the sample size, n, is 31.How does increasing the level of confidence affect the size of the margin of error, E? (d) If the sample size is 21, what conditions must be satisfied to compute the confidence interval?
You may need to use the appropriate appendix table or technology to answer this question. A survey asked senior executives at large corporations their opinions about the economic outlook for the future. One question was, "Do you think that there will be an increase in the number of full-time employees at your company over the next 12 months?" In the current survey, 228 of 400 executives answered Yes, while in a previous year survey, 176 of 400 executives had answered Yes. Provide a 95% confidence interval estimate for the difference between the proportions at the two points in time. (Use current year previous year. Round your answer to four decimal places.) to What is your interpretation of the interval estimate? The 95% confidence interval ---Select--- ✓zero. This suggests that the proportion of executives who are predicting an increase in full- time jobs for the current year is ---Select--- ✓ than the proportion of executives who were predicting an increase in full-time jobs for the…
Scenario: Two managers ranked 10 franchises by profitability potential. The sum of squared differences in their rankings is 44. Check to see if their rankings are correlated by calculating the Spearman Coefficient of Rank Correlation. (Enter numerical answers to three decimal places with zero before the decimal. For yes or no answers, enter Y for yes or N for no.) a. Calculated rs _____ b. At alpha =1% and a one-tail test, what is the critical value of rs ______ c. Does this result indicate that the rankings by the managers are positively correlated? _____ (Y or N)
From the data in the table it shows the 2019 daily return data for the S&P 500 Index (stocks) and the US 30 year Bond (bonds). How do I test the hypothesis that mean daily return on stocks exceeds the mean daily return on bonds? Please show the steps. S&P500 dailt returns data: Date Price Daily Return 2019-12-31 3230.78 0.294602% 2019-12-30 3221.29 -0.578082% 2019-12-27 3240.02 0.003398% 2019-12-26 3239.91 0.512817% 2019-12-24 3223.38 -0.019545% 2019-12-23 3224.01 0.086614% 2019-12-20 3221.22 0.494478% 2019-12-19 3205.37 0.445929% 2019-12-18 3191.14 -0.043230% 2019-12-17 3192.52 0.033529% US 30 Year Bond Date Price Daily Return 31-Dec-19 2.389 2.32% 30-Dec-19 2.335 0.78% 29-Dec-19 2.317 -0.03% 27-Dec-19 2.318 -0.16% 26-Dec-19 2.321 -0.71% 25-Dec-19 2.338 0.15% 24-Dec-19 2.334 -0.83% 23-Dec-19 2.354 0.31% 22-Dec-19 2.346 0.12% 20-Dec-19 2.344 -0.43%
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Find a 95% confidence interval for the percentage of stocks with a gain.
5. When the Pearson Product Moment Correlation is equal to -0.68, there is a ______ linear trend.