From the following data find out (i) purchasing power of money, (ii) realincome, and (iii) real income indices relating to a worker :1989Year:Income :Price indices :Year:Income :Price Index :1990199119921993200025003600400045001001201401501601994199519961997199855006000720075008000250300400500550CS Scanned with CamScanner

Answered: Image /qna-images/answer/5c4f0f42-0714-4e87-a744-40bcf5938ecf.jpg

Answered: From the following data find out (i)…

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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Given below are the data relating to the indices and weights of the consumer's items for the current year 1998 : Items Indices Weights Food Fuel Clothing Rent Misc. 200 50 100 17 125 12 160 10 130 11 It is proposed to allow dearness allowance in 1998 is such a manner that it will fully compensate the price rise in food and clothing. Determine such dearness allowance in terms of percentage of wages.
Calculate the arithmetic average of the following by the direct method : Number of labourers Weekly wages (in Rupees) 11-13 13-15 15-17 17-19 19-21 21-23 23-25 25 3. 4 564 43
The following data are the monthly starting salaries and the Grade Point Averages (GPA) of business graduates who have obtained a first degree in accounting. x: GPA y: Monthly Salary ($) 2.1 2.5 3.3 3.5 3.1 3.6 2.8 1.9 3.5 19,000 18,000 21,000 25,000 20,000 24,000 21,000 24,000 17,000 Suppose that you want to build a simple linear regression model to relate x and y, as follows: y = Bo + Box + (a) Use the least squares method to determine the sample estimates, bo and b₁ of the population regression parameters, B and B₁. You need to apply the relevant formulae and show your calculation details. (b) (c) Write down the fitted regression equation and specify the valid range of the equation. Forecast the starting salary for a graduate with GPA= 3.7. Do you think that such a forecast is reliable? Justify your answer briefly.
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%
From the following data relating to average prices of certain commodities
The following table shows a sample of room rates for a 100 room resort hotel in Nova Scotia for the time period Jan. 1 to Dec. 2003. Note that 1/1-7/3 means January 1 to March 7, 2003. Be sure to scroll down to see the bottom of the rate table. 2003 Room Rates A Oceanfront 1 double bed Oceanfront 2 double beds Oceanfront Effic, 2 double beds 2 room suite 3 double beds Oceanfront Suite 3 double beds Extra Person B C D E 1/1 - 7/3 75 85 105 120 140 5 8/3 30/3 125 135 155 175 200 8 31/3 - 31/5 85 115 130 150 5 1/6 -30/6 100 110 130 150 175 5 1/7 2/9 -1/9 -8/10 150 95 180 200 225 10 105 125 140 165 7 9/10 -1/12 85 95 115 130 5 2/12 -20/12 75 85 105 120 140 5 21/12 - 31/12 125 135 155 175 200 10 IMPORTANT: Please omit the dollar signs in all answers. Note: Suites have 3 beds. a. For the 9 time periods, what was the mean extra person rate? b. (i) This hotel has 20 type A rooms, 15 type B, 30 type C, 25 type D and the remainder are type E. If the hotel was fully booked (with no extra people…
For number 1-6: A cost-of-living index measures the relative cost of living over time or regions. The following data pairs represent the cost of living index for grocery items (A) and health care (B) of the grouped urban areas. Groceries 99 97 110 97.3 114 99 71 91 109 120 127 98 115 105.9 96 8=12.55 S=G.44 1. What is the mean cost of living index for health items? A. 99.82 B. 72.68 C. 106.21 D. 101.34 2. Is the mean cost of living index for grocery higher than the mean cost of living index for health? A. Yes. B. No C. Cannot be determined 3. What is the absolute computed t-value? 2.88 A. B. 1.16 C. 1.34 A. D. 1.89 4. Given the tabulated t-2.306 at 5% level of significance, is the difference significant? A. Yes B. No 5. What is the decision to the problem? A. Accept Ho B. Reject Ho 6. What is the conclusion to the problem? A. 106 96.8 98 There is no significant difference in the mean cost of living indices for grocery and health. B. There is a significant difference in the mean cost of…

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