24. In calculating cost of living index number, the weights used were :Food 8, Rent 2, Clothing 3,, Fuel and Light 1 and Miscellaneous 2. Calculate the indexnumber in the case of data where the percentage increases in the prices of the various items in2017 over prices of 2016 were 40, 75, 60, 35, and 80 respectively.

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Answered: 24. In calculating cost of living index…

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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5. The following map shows the job growth rates for each state in the US. Use the map to determine how many states had between 2.5% and 6.9% job growth. Job Growth By State 7% or more (15 states) 4.5% to 6.9% (10 states) 2.5% to 4.4% (2 states) less than 2.5% (11 states) Losing Jobs (12 states)
Repair revenues from labor costs of the bicycle shop are given below: X 7.1 2.2 7.2 3.1 3.3 3.5 7.7 4.1 6.8 4.7 5.3 5.5 6.1 Y 3.9 1.7 3.7 1.5 2.2 1.4 4.9 2.5 4.5 3.4 2.3 3.6 3.2 Determine whether there is significant relationship at 0.05 level of significance Predict the value of Y if x are 2.7 and 1.5.
22. Construct a cost of living index from the following indices, the weighte being food 55, rent 20, clothing 15, fuel and lighting 15 and miscellaneous 5: Year Food Rent Clothing Fuel and Lighting Miscellaneous 2014 2015 2016 2017 100 105 110 100 104 112 115 100 100 100 101 103 100 110 115 120 98 102 112 105
9. value= The table below lists all 50 states in the United States of America and their 2015 violent crime rates. This rate measures the number of violent crimes in a state per 10,000 people. For instance, if a state had 12,000 violent crimes and a population size 2,300,000, its violent crime rate was $(2,300,00) 10,000 = 52. a. C. d. e. X TABLE 3.2: List of States with 2015 Violent Crime Rates Measured as Number of Violent Crimes per 10.000 Population Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware Florida Georgia Hawaii Idaho Illinois Indiana lowa Kansas Kentucky 43 64 42 46 40 31 26 49 47 37 25 22 38 36 27 34 21 Louisiana 52 Maine 13 Maryland 47 Massachusetts 41 Michigan 45 20 Minnesota 23 24 Mississippi 27 7 Missouri 43 20 Montana 25 Nebraska 26 Nevada 60 New Hampshire 22 New Jersey 29 New Mexico 61 New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington…
9. The following are quantitative variables EXCEPT A. number of cars owned C. weight of infants B. monthly bill D. license number
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.
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
The cumulative frequency function of a discrete variable X in group A is given by x < 12 12 ≤ x < 32 32 < x < 48 48 ≤ x The cumulative frequency function of the same variable in group B is given by FA (X) = = 0, 0.1, 0.699, 1, 0, x < 32 0.151, 32 < x < 48 0.699, 48 ≤ x < 75 1, 75 ≤ x Consider the mixture of the two distributions, i.e., the distribution of the same variable when the two groups are combined into one larger group, group AB. Assume the weight of group A is 0.48. Enter below the variance of the distribution (of variable X in group) AB. FB (X)

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