Example 20.8 Fixed base indices with 1995 = 100 are given below for the period 1995 to 2000. We arerequired to construct the chain base index numbers.Year199519961997199819992000Fixed-base Index100125150200250300

Answered: Image /qna-images/answer/2f032e3d-26a1-42da-8340-91208bd33e4e.jpg

Answered: Example 20.8 Fixed base indices with…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

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Publisher:Amos Gilat

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Illustration 11. From the following data relating to the average wholesale prices of a commodity compute the index numbers for each of the ten years taking 1989 as the base year. Year Wholesale Price (Rs.) 1989 1990 1991 1992|1993|1994 1995 1996 1997| 1998 80 50 60 55 65 75 70 60 64 85 CS Scanned with CamScanner
Describe and explain the changes shown by the table between the two years for the following age groups: 1-5 years, 11-20 years, 21-50 years, and 61-90 years Answer: 2019 Female 2019 Male 2021 Female 2021 Male 1 to 5 years old 4.1% 4.5% 4.0% 4.4% 11 to 20 years old 8.7% 9.8% 8.6% 9.5% 21 to 50 years old 21.5% 23.6% 21.7% 23.8% 61 to 90 years old 4.9% 4.8% 5.2% 5%
Define the Banzhaf Power Index
The table shows the leading causes of death in a certain country in a recent year. The population of the country was 311311 million. If you lived in a typical city of 500,000, how many people would you expect to die of cancercancer each year? Cause Deaths Cause Deaths Heart disease 596 comma 700596,700 Alzheimer's disease 84 comma 90084,900 Cancer 575 comma 300575,300 Diabetes 73 comma 40073,400 Chronic respiratory diseases 143 comma 100143,100 Pneumonia/Influenza 53 comma 40053,400 Stroke 128 comma 600128,600 Kidney disease 45 comma 30045,300 Accidents 122 comma 500122,500 Suicide 38 comma 60038,600 About people would be expected to die of cancer each year. (Type a whole number. Round to the nearest person as needed.)
The following data gives the profits, of a frim, in (lakh p) interpolate th e missing figures. Year 15.31 1950 Profits (in lakhs Rs.) 1955 1960 1965 1970 1975 ?. 13 15 25
It is claimed that Table 6 represents the seasonal factors obtained from a quarterly time series. Table 6 Quarter 1 2 3 4 Explain why this claim cannot be correct. Seasonal Factor -203.4 -81.6 24.1 -260.9
Example 1 From the data given below, calculate the index number of prices for all the years with reference to 1980 as the base year, using Simple Aggregative Method. Items 1980 1981 1982 1983 Rice wheat 57.2 130.3 51.7 56.4 58.7 60.4 121.3 124.6 50.3 135.5 53.3 Sugar 48.2
In October 2005, a company employs 11000 people and its total monthly wage bill is 11 million dollars. What is the average monthly wage of the company's employees? Average monthly wage : ___dollars. The company is growing at a rate of 10 employees per month. The total monthly wage bill is increasing at a rate of 260 thousand dollars per month. At what rate is the average monthly wage changing at this time? Give your answer correct to the nearest cent per month. Rate of change: ___ dollars per month. You should be careful over the units in this question. Hint: write the total monthly wage bill as the function f (t) and the number of employees as the function g (t). What is the average monthly wage in terms of the functions f and g?
Example 20.22 Splice the two indices with base-year 1990 = 100. Year Index 1990 100 1991 110 1992 120 1993 130 1994 150 1995 X₁ 1996 X2 1997 X3 (Base 1994 = 100) 100 120 150 180
Construct a sub divided bar diagram
Interpolate by means of Gauss backward formula, the population of a town for the year 1974, give that: Year: 1939 1949 1959 1969 1979 1989 Population: (in thousands) 12 15 20 27 39 52
EXERCISE 18.2 2. y= 3x +6 1. yax-1 4. y+2x 3 3. y=-+ 2 Gradient ords ent - the change en two ates change in the gradient between (2; 4) and (4; 6) is B2 Answers A(2: 4) 4- 1. The co The g Gradient change in yatue change in wakue 2. The The 3. TH

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Example 20.8 Fixed base indices with 1995 = 100 are given below for the period 1995 to 2000. We are required to construct the chain base index numbers. Year 1995 1996 1997 1998 1999 2000 Fixed-base Index 100 125 150 200 250 300