The data given below relate to the workers in an industrial town.Cost of living index for1998 upon 1993GroupsPercentage ofexpenditure on the itemsFoodFuelHousingClothingOther items250501508160202001012012If the average monthly pay of the workers in 1993 was Rs. 1000 what shouldbe the average monthly pay in 1998 in order that the workers may be able tomaintain the same standard of living as that of 1993.раy

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Answered: The data given below relate to the…

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 following table gives the cost of living index for 1998 with 1986 as base for different commodity groups: Food, Clothing, Fuel and Light, Rent and Miscellaneous as 440, 500, 350, 400 and 250 respectively with their weights in order in the ratio 15: 1:2:3:4. Obtain, the overall cost of living index number, suppose a person was earning $ 4,000 in 1986. What should be his salary in 1998 to maintain the standard of living as in 1986?
Mariah Jacobsen is the marketing manager at ABC Electronics, a major consumer electronics supplier in the northwest. Over the last five years, sales of the company's flagship product - the Wizer Anonymizer (the WA) - have been 45000, 45500, 44500, 46000 and 44000 units. This rate of sales is considered average for the product over the last twenty years or so. Ms. Jacobsen believes that the distribution of the WA's sales is normal with a standard deviation of 1500 units. If she were asked to make a forecast of next year's sales to upper management, what is the likelihood that she would be correct if she predicts sales between 43000 and 46000?
6. Accidents on highways are one of the main causes of death or injury in developing countries and the weather conditions have an impact on the rates of death and injury. In foggy, rainy, and sunny conditions, 1/4, 1/8, and 1/21 of the accidents result in death, respectively. Sunny conditions occur 60% of the time, while rainy and foggy conditions each occur 20% of the time. Given that an accident without deaths occurred, what is the conditional probability that it was foggy at the time?
The Big Mac index is a way of measuring Purchasing Power Parity (PPP) between different countries. By diverting the average national Big Mac prices to U.S. dollars, the same goods can be informally compared. The Big Mac can also be a good indicator for the individual purchasing power of an economy since he exists worldwide in standard size, composition and quality. Price # of Countries Rel. f. Cum. f 1.50-1.99 2 2.00-2.49 4 2.50-2.99 7 3.00-3.49 9. 3.50-3.99 7 4.00-4.49 8 4.50-4.99 9 5.00-5.49 7 5.50-5.99 1 6.00-6.49 2 6.50-6.99 1 a. What is the statistical name of the table above? b. How many countries were sampled? c. State the class width. d. Calculate the mean and standard deviation of the average prices of a Big Mac worldwide. Attach correct symbols and units to your answers. Explain how you obtained your answers.
Only 2.4
Because the total population in 2050 is much larger than the Comparison of Population in the United States in 1950 and 2050 (in millions of persons) 1950 population, comparing percentages in each age group is clearer than comparing counts. Make a table of the Age Group 1950 2050 percentage of the total population in each age group for both Under 10 years | 29.3 | 56.2 1950 and 2050. 10 to 19 years 21.8 || 56.7 Only one age group in 1950 represents a larger percentage of the population than it does in 2050. For that age group, 20 to 29 years | 24.0 | 56.2 30 to 39 years | 22.8 | 55.9 determine the difference of the percentages between 1950 and 2050. Report your answer to the tenth of a percent. 40 to 49 years 19.3 52.8 50 to 59 years 15.5 || 49.1 60 to 69 years| 11.0 | 45.0 70 to 79 years 5.5 34.5 difference in percentages: % 80 to 89 years 1.6 | 23.7 90 to 99 years 0.1 8.1 100 years and 0.6 over Total 151.1 310.6
Suppose the following table represents world oil production in millions of barrels a day for a recent period of time. Complete parts a and b. Region Oil Production (millions of barrels a day) Iran 6.97 Saudi Arabia 8.76 Other OPEC countries 21.77 Non-OPEC countries 53.53 Question content area bottom Part 1 a. Compute the percentage of values in each category. Region Oil Production (millions of barrels a day) Percentage Iran 6.97 enter your response here% Saudi Arabia 8.76 enter your response here% Other OPEC countries 21.77 enter your response here% Non-OPEC countries 53.53 enter your response here% (Round to two decimal places as needed.) Part 2 b. What conclusions can you reach concerning the production of oil in the specified time period? Oil production by non-OPEC countries accounted for ▼ less than a quarter more than half slightly less than half more than three dash quarters of total oil production. Oil production by OPEC countries other than Iran…
What is the maximum number of dummy variables that can be defined when a qualitative variable has 4 categories? a. 3 dummy variables b. 2 dummyvariables C. one dummy variable d. 4 dummy varíables

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