Using the fair test involves providing access to your emotions and explaining how you made your decisions, particularly in complicated and emotionally charged situations
<h3>What is fair test?</h3>
Fair test helps to make decisions, it helps to test an individual performance based on the variable that is stable.
An individual uses the test to identify how balance or imbalance he is with decisions and emotions.
Therefore, Using the fair test involves providing access to your emotions and explaining how you made your decisions, particularly in complicated and emotionally charged situations
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The correct answer is D. Total growth minus increases in capital and labor.
Disadvantaged populations in the United States that saw increases in life expectancy from 1961-1983 continued to experience increased life expectancy in later decades is a "false" statement as it life expectancy became much worse.
<h3>What is life expectancy?</h3>
life expectancy is an estimate of how long, on average, a person of a certain age may expect to live. The average life expectancy is the most often used indicator of life expectancy.
Some characteristic of life expectancy are-
- Life expectancy is an illustrative metric.
- It is predicated that people born during the year question will die at the age-specific mortality rates for the duration of their lives.
- The estimate, in essence, extrapolates the years mortality (death rates) for something like a specified time period over the lifetime of such population born (or living) at that time.
- The measure varies significantly depending on gender, race, and locality.
- Therefore, rather than for the entire population, life expectancy is frequently reported for specific categories.
- For instance, white women in in United States who have been born in 2003 can expect to live to the age of 80.4.
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The complete question is-
Disadvantaged populations in the United States that saw increases in life expectancy from 1961-1983 continued to experience increased life expectancy in later decades. (True/False)
Answer:
Positive Correlation
Explanation:
Correlation is a measure of relationship between two variables.
Positive Correlation: If variables move in same direction i.e one increase, other increase & one decrease, other decrease. Eg : Price & Supply
Negative Correlation: If variables move in opposite direction i.e one increase, other decrease & one decrease, other increase. Eg : Price & Demand
People tend to score low on one variable, tend to score low on other variable - signifies positive correlation between the two variable scores.
