Inferential Statistics!
This is an example of inferential statistics, where we use a sample to make inferences or predictions about a population. Specifically, it involves estimating the population parameter (average family expenditure on food) from a sample statistic (average expenditure of 1000 families).
The population range constituting the higher levels of average population level.
The average population per square mile in the United Kingdom is 1500.
500,321,039 is the average producer population size in america
The average amount of people in the US in 2009 concluded to 307,006,550 people in total.
1.8 in houses with families 1.7 in houses with cohabiting couples and single parents
well an estimation of the estimation is that is an estimation and is a very good estimation
Estimating, Earth has around 6.9 billion of people. If we divide 6.9 billion by an average family (3.5 people per family), we get around 1.9 billion families. But again, this is just an estimation. Best Regards, Juanfe
To calculate household consumption expenditure, make a list of what has been spent for household use. Next, average that out and there is your expenditure amount.
It varies from person to person, but on average, Romani (formerly known as gypsies) families tend to have larger families with more children compared to the general population.
The average insurance expenditure is calculated by adding all auto insurance premium collected for liability, comprehensive, and collision coverage, and dividing by the number of insured cars for the year. The average auto insurance expenditure nationwide is $785.
http://people.stern.nyu.edu/adamodar/New_Home_Page/datafile/capex.html
Two hundred years on average, but it's a rough estimation Or 100 years
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A flow weighted average is found by dividing the total load over the estimation time by the total stream flow.
In 2012, the average Russian family had 1.5 children.
Today, it's the same as the general population. 50 years ago... not so much. I'm French Canadian. Hope that helps.
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