Estimated statistics for the United States and Germany in 2018 United States Crude Mortality rate = 1900 per 100,000 Crude birth rates = 25.4 per 1,000 Life expectancy = 80.0 years Germany Crude Mortality rate = 1700 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?
Added by Thakare D.
Close
Step 1
- United States: - Crude Mortality rate = 1900 per 100,000 - Crude birth rates = 25.4 per 1,000 - Life expectancy = 80.0 years - Germany: - Crude Mortality rate = 1700 per 100,000 - Crude birth rates = 15.4 per 1,000 - Life expectancy = 65.0 years Show more…
Show all steps
Your feedback will help us improve your experience
Joanna Quigley and 50 other Intro Stats / AP Statistics educators are ready to help you.
Ask a new question
Labs
Want to see this concept in action?
Explore this concept interactively to see how it behaves as you change inputs.
Key Concepts
Recommended Videos
A health economist wants to know why life expectancy varies a lot across countries. She uses life expectancy at birth as the dependent variable and health expenditure per capita in US dollars (hexp) as the main explanatory variable. She classifies all countries into groups based on income: low income (low), lower middle income (lowmid), upper middle income (upmid), and high income (high). Using a sample of 179 countries and 2014 data, the researcher estimates a model and obtains the following output: Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 76.9654 1.2249 62.8318 1.6039E-121 74.5477 79.38 hexp 0.0008 0.0003 2.7436 0.0007 0.0002 0.00 low -17.2026 1.5348 -11.2082 2.7044E-22 -20.2318 -14.17 upmid -4.4494 1.313 -3.3887 0.0009 -7.0408 -1.85 lowmid -10.1938 1.3849 -7.3604 6.9820E-12 -12.9272 -7.46 Sweden is a high-income country with a life expectancy of 82.25 years in 2014. They spent 6807.7 dollars per person on healthcare in 2014. What is the residual life expectancy for this observation?
Madhur L.
According to the historical data, the life expectancy in Belgium is less than the life expectancy in the United States. A new study has been made to see whether this has changed. Records of 245..
Ana Carolina D.
Using the vital statistics in Table 1 below: Total midyear population: 100,000 Population size, 65 years of age or older: 25,000 Number of infants born alive: 3,000 Total deaths (all causes): 1,500 Deaths of infants under 1 year of age: 50 Deaths of persons 65 years of age or over: 1,000 Deaths from heart disease: 300 Deaths from cancer: 100 Table 1 Calculate each of the following: A. Crude birth rate per 1000: Crude birth rate per 1000 = (Total Resident Live Births / Total Population X 1,000) = (3,000 / 100,000) X 1,000 = 30 live births per 1,000 population in that area B. Crude death rate per 1000: Crude death rate per 1000 = (Total Resident Deaths / Total Population) X 1,000 = (1,500 / 100,000) X 1,000 = 15 resident deaths per 1,000 population C. Infant mortality rate per 1000: Infant Mortality rate per 1000 = (Number of Resident Infant Deaths / Number of Resident Live Births) x 1,000 = (50 / 3,000) X 1,000 = 16.66667 ≈ 17 infant deaths per 1,000 live births D. The age-specific death rate for people 65 years of age or older, per 1000: Age-specific death rate for people 65 years of age or older, per 1000 (ASDR) = Individuals dying at a particular age / the population in that age group = (1,000 / 25,000) X 1,000 = 40 deaths per 1,000 population E. The cause-specific death rate for heart disease, per 1000: (300 / 1,500) X 1,000 = 200 deaths from heart disease per 1,000 population F. The cause-specific death rate for cancer per 1000: (100 / 1,500) X 1,000 = 66.66 deaths from cancer per 1,000 population
Adi S.
Recommended Textbooks
Elementary Statistics a Step by Step Approach
The Practice of Statistics for AP
Introductory Statistics
Transcript
Watch the video solution with this free unlock.
EMAIL
PASSWORD