Answered: Which type of graphs best describe the…

Which type of graphs best describe the nominal-level data? I Boxplot II Bar chart III Times series graph IV Pareto chart

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter4: Eigenvalues And Eigenvectors

Section4.6: Applications And The Perron-frobenius Theorem

Problem 25EQ

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The data in the table characterizes the income distribution for a country. Income category Share of income (%) Cumulative share of income (%) first quintile 7.0 --- second quintile 9.0 16.0 third quintile --- 37.0 fourth quintile 25.0 --- fifth quintile 38.038.0 --- What percentage of the total population is categorized as belonging to the second quintile? Give your responses as whole numbers. Percentage of population in second quintile:__________% What percentage of the total income for the country is earned by the third quintile? Percentage earned by the third quintile:__________% What is the cumulative share of income earned by the poorest 80% of the population? Percentage earned by the poorest 80%:__________%
6. Find Under Armour’s annual revenue from the past 10 years. Are the data considered structured or unstructured? Explain. Are they cross-sectional or time series data?
During the days of coronavirus, people work most of the time from home. Many offices, schools, universities conduct their works, meetings, classes online. As a result of this new normal, it is assumed that on average, utility expenses per family (electricity, water, gas etc.) increases by 40% per month. For the verification of this assumption, four months data of percentage change of utility expenses of 10 families of similar size is given below and answer the following questions, the data is normally distributed:Percentage change of utility expensesApril 33.65 37.09 29.72 33.42 38.14 34.9 37.35 38.66 22.92 34.19May 37.19 36.61 40.35 28.19 35.19 37.43 38.03 42.99 30.22 38.8June 37.13 36.2 43.6 35.31 33.66 28.51 37.67 20.68 38.04 38.43July 38.84 32.17 34.9 30.17 29.63 27.14 32.17 33.46 36.72 39.64( 2 tail) Write your final conclusion about the assumption. What will be the 95% confidence interval for the average percentage change of utility expenses on the basis of given data.
During the days of coronavirus, people work most of the time from home. Many offices, schools, universities conduct their works, meetings, classes online. As a result of this new normal, it is assumed that on average, utility expenses per family (electricity, water, gas etc.) increases by 40% per month. For the verification of this assumption, four months data of percentage change of utility expenses of 10 families of similar size is given below and answer the following questions, the data is normally distributed: Percentage change of utility expenses April 33.65 37.09 29.72 33.42 38.14 34.9 37.35 38.66 22.92 34.19 May 37.19 36.61 40.35 28.19 35.19 37.43 38.03 42.99 30.22 38.8 June 37.13 36.2 43.6 35.31 33.66 28.51 37.67 20.68 38.04 38.43 July 38.84 32.17 34.9 30.17 29.63 27.14 32.17 33.46 36.72 39.64 Write your final…
During the days of coronavirus, people work most of the time from home. Many offices, schools, universities conduct their works, meetings, classes online. As a result of this new normal, it is assumed that on average, utility expenses per family (electricity, water, gas etc.) increases by 40% per month. For the verification of this assumption, four months data of percentage change of utility expenses of 10 families of similar size is given below and answer the following questions, the data is normally distributed: Percentage change of utility expenses April 33.65 37.09 29.72 33.42 38.14 34.9 37.35 38.66 22.92 34.19 May 37.19 36.61 40.35 28.19 35.19 37.43 38.03 42.99 30.22 38.8 June 37.13 36.2 43.6 35.31 33.66 28.51 37.67 20.68 38.04 38.43 July 38.84 32.17 34.9 30.17 29.63 27.14 32.17 33.46 36.72 39.64 1. Write the null and alternative hypothesis for this test 2. Write your final…
During the days of coronavirus, people work most of the time from home. Many offices, schools, universities conduct their works, meetings, classes online. As a result of this new normal, it is assumed that on average, utility expenses per family (electricity, water, gas etc.) increases by 40% per month. For the verification of this assumption, four months data of percentage change of utility expenses of 10 families of similar size is given below and answer the following questions, the data is normally distributed:Percentage change of utility expensesApril 33.65 37.09 29.72 33.42 38.14 34.9 37.35 38.66 22.92 34.19May 37.19 36.61 40.35 28.19 35.19 37.43 38.03 42.99 30.22 38.8June 37.13 36.2 43.6 35.31 33.66 28.51 37.67 20.68 38.04 38.43July 38.84 32.17 34.9 30.17 29.63 27.14 32.17 33.46 36.72 39.64 1.Write tabulated value of test statistic at 0.05 level of significance ( 2 tail)2.What will be the 95% confidence interval for the average percentage change of utility expenses on the basis…
The fitted line that results from regressions of the Single Index Model is called:a. The security specific line.b. The security characteristic line.c. The single index line.d. The security market line.
For each of the below ACF plots which are obtained for a time series data of 4 different variables of interest: a) Explain the ACF plot. b) Describe what the raw data is likely to look like over time. c) What kind of variable is this plot likely to characterise (e.g., stock prices, exchange rates, temperature, etc.)?
Isle Royale, an island in Lake Superior, has provided an important study site of wolves and their prey. Of special interest is the study of the number of moose killed by wolves. In the period from 1958 to 1974, there were 296 moose deaths identified as wolf kills. The age distribution of the kills is as follows;Age of Moose in Years Calf (0.5 yr)1-56-1011-1516-20 Number Killed By Wolves1065179546 (a) For each age group, compute the probability that a moose in that age group is killed by a wolf. (Round your answers to three decimal places.)0.5 1-5 6-10 11-15 16-20 (b) Consider all ages in a class equal to the class midpoint. Find the expected age of a moose killed by a wolf and the standard deviation of the ages. (Round your answers to two decimal places.)μ = σ =
2. A.) Find the 5-number summary for the data. B.) Is the data discrete or continuous?
The data in the table above are: Time-series Qualitative Quantitative and continuous Cross-sectional Quantitative and discrete
a. Prepare a crosstabulation of the data on Industry (rows) and Brand Revenue ($ billions). Use class intervals of 25 starting at 0 for Brand Revenue ($billions) b. Prepare a frequency distribution for the data on Brand revenue ($ billions). c. What conclusions can you draw about the type of industry and the brand revenue? d. Prepare a crosstabulation of the data on Industry (rows) and the 1-year Value change (%). Use class intervals of 20 starting at -60 for 1 year Value Change (%). e. Prepare a frequency distribution for the data on 1 - year Value Change (%). f. What conclusions can you draw about the type of industry and the 1-year change in value? Show steps in Excel. Brand Industry Brand Value ($ billions) 1-Yr Value Change (%) Brand Revenue ($ billions) Accenture Other 9.7 10 30.4 Adidas Other 8.4 23 14.5 Allianz Financial Services 6.9 5 130.8 Amazon.Com Technology 14.7 44 60.6 American Express Financial Services 18 5 33.8…