Consider the following statistics in the table below. Does this data support the catch-uphypothesis?CountryTaiwanPanamaBrazilAlgeriaJapanVenezuelaBelgiumUnited KingdomNew ZealandReal GDP per Capita in1960 (2005 dollars)$1,8612,1202,4834,1055,5867,01510,13211,20414,263Annual Growth in Real GDPper Capita, 1960-20105.86%3.322.450.853.520.522.542.261.34L This data supports the catch-up hypothesis for all countries.This data contradicts the catch-up hypothesis for the poorest countries.This data contradicts the catch-up hypothesis for the richest countries.This data neither supports nor contradicts the catch-up hypothesis.

The catch-up hypothesis also known as the convergence hypothesis in economics is based on popular…

Answered: Consider the following statistics in…

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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Estimated statistics for the United States and Germany in 2018 United States Crude Mortality rate= 900 per 100,000 Crude birth rates = 10.4 per 1,000 Life expectancy = 80.0 years Germany Crude Mortality rate= 700 per 100,000 Crude birth rates = 15.4 per 1,000 Life expectancy = 65.0 years A. Can the lower crude mortality rate in Germany be explained by the fact that the United States has a larger population? B. What factors could explain differences in birth rates and life expectancy?
1. By predicting fertility and divorce rates as well as life-styles economic, demographers attempt to forecast the economy during the next decade and beyond -- predicting which industries will flourish and which will falter. The following table gives a distribution of age groups in the U.S. for the year 2030. Age Group Relative Age Group Relative frequency frequency 0-9.5 0.12 49.5-59.5 0.12 9.5-19.5 59.5-69.5 0.08 19.5-29.5 69.5-79.5 0.06 29.5-39.5 79.5-89.5 0.03 39.5-49 5 0.16 c) What proportion of Americans are expected to be from 19.5 years to 39.5 years? k 0.16
Discuss briefly the following measures of Central Tendency MEDIAN
C8. According to the Pew Research Center (2015), recent immigrants are better educated than earlier immigrants to the United States. The change was attributed to the availability of better education in each region or country of origin. The percentage of immigrants 25 years of age and older who completed at least high school is reported in this table for 1970 to 2013. Write a statement describing the change over time in the percentage who completed at least a high school degree. 1970 1980 1990 2000 2013 Mexico 14 17 26 30 48 Other Central/South America 57 53 60 66 Asia 75 72 75 82 84 48 68 81 87 95 Europe 36 48 52 58 72 Caribbean 81 91 88 85 85 Africa Source: Pew Research Center, Modern Immigration Wave Brings 59 Million to U.S., Driving Population Growth and Change Through 2065, 2015. Retrieved from https://www.pewresearch.org/hispanic/2015/09/28/modern- immigration-wave-brings-59-million-to-u-s-driving-population-growth-and-change-through-2065/ 52
State Per Capita Personal Income ($) Birth Rate Delaware 28,493 13.9 Maryland 28,674 13.0 District of Columbia 35,704 15.7 Virginia 26,109 13.2 18,724 11.3 West Virginia 14.2 23.168 North Carolina 13.6 20,508 South Carolina 15.8 23,822 Georgia 13.1 24,799 Florida (a) The Ts(in 3 significant figures) for the given data is equal to Blank 1. (b) The typre of relation (negative, positve, or no relation) that exist between per capita personal income and birt rate is Blank 2
53. Calculate seasonal index numbers from the following data : RATIO OF OBSERVED TO TREND VALUES (%). Year II IV 2012 108 130 107 93 2013 86 120 110 91 2014 92 118 104 88 2015 78 100 94 78 2016 82 110 98 00 86 2017 X3 If the sales of goods X by a firm in the first quarter of 2018 are worth Rs. 2,00,000, determine how much worth of the goods should be kept in stock by the firm to meet the demand in each of the remaining three quarters of 2018 by using the seasonal index numbers calcuiated above. 106 118 105 98
Need help with A & C.
3. The table below shows the expected years of schooling and gross domestic product (GDP) of the Southeast Asian countries in 2017. Use this information to answer the following: 1. Determine the correlation between the expected years of schooling and GDP. II. Based on the result, what can you conclude about the relationship between the expected years of schooling and GDP? Country Expected Years of Schooling GDP per capita (in international-$) Brunei 14.5 71809.3 Cambodia 11.7 3645.1 Indonesia 12.8 11188.7 Laos 11.2 6397.4 Malaysia 13.7 26808.2 Myanmar 10 5591.2 Philippines 12.6 7599.2 Singapore 16.2 85535.4 Thailand 14.7 16277.7 Vietnam 12.7 6171.9 Source: https://ourworldindata.org/grapher/expected-years-of-schooling-vs-qdp-per-capita
What is the level (or scale) of measurement for each variable? Nominal, ordinary, or ratio WTO Status Per Capita GDP Trade Deficit Fitch Rating Fitch Outlook
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A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…
kln 2.18 The report "Trends in Education 2010: Community Colleges" (www.collegeboard.com/trends) included the accompanying information on student debt for students graduating with an AA degree from a public community college in 2008. Debt Relative Frequency None 0.62 Less than $10,000 0.23 Between $10,000 and $20,000 0.10 More than $20,000 0.05 a. Use the given information to construct a bar chart. b. Comment on student debt for public community college graduates.

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