Answer:
the college wage premium
Explanation:
The college wage premium is the difference between the average earnings those earned by individuals with a college degree but is not a graduate and the one who did not attend college and do not have a college degree.
In the context, Don and Cal are both friends. After their school, Don joined to work in an organization while Cal attended university and earned a college degree and then he joined an insurance company. Don earned 40,000 dollar in a year in his 10 years of work while Cal earned 70,000 dollar in one year after working for 5 years. This difference is due o the college wage premium which states that a college graduate degree would earn you more wage than a non graduate degree.
I don;t think you should be planing to make changes in your personality directly after negative experiences: those make you too emotional and might stop you from making rational choices.
So the best is if you genuinely want to improve to improve your life and the best answer is d)
Answer:
New Orleans.
Explanation:
I chose New Orleans city for living because of its beautiful location. It is located on the Mississippi River, near the Gulf of Mexico. The range of ownership houses started from 1,57,500 dollars to 4,200,000 dollars. I chose 157,500 dollars house because I have limited money so this house is economical for me. This house is located in the city and the purpose of choosing it for its good location and suitable price.
The primary benefit of creating a product family or aggregated forecast is to minimize forecast errors,
<h3>What is an aggregated forecast?</h3>
This refers to the sales forecast for a group of products or customers. It could also be a forecast of all the products within a family, all customers in a given region for the sales, or the total forecast for the year or budgetary period.
In general, the aggregate forecasts are usually more accurate as they tend to have a smaller standard deviation of error relative to the mean.
Therefore, the primary benefit of creating a product family or aggregated forecast is to minimize forecast errors.
Read more about aggregated forecast
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Your answer is "exiled"! Santa Anna was exiled from Mexico.
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