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(Solved): It is important to know the difference between a probablity and an inference. Look at \( 5.2 \) in ...




It is important to know the difference between a probablity and an inference. Look at \( 5.2 \) in the text AHSS ef:
a. Suppo


W that \( 37.5 \% \) of adults above the age of 25 in the United States have a college dogree. If we take a sumole of 200 ran
It is important to know the difference between a probablity and an inference. Look at \( 5.2 \) in the text AHSS ef: a. Suppose we know that \( 375 \% \) of adults above the age of 25 in the United States have a college degree. If we take a sample of 200 random individuals above the age of 25 , we estimate that there is a 50 W chance that \( 37.5 \% \) or less will have a college degree. This is an example of b. Suppose we take a random sample of 200 individuals above the age of 25 in the United 5 tates and find that \( 38 \% \) have college degrees. This leads us to speculate that the actual number of adults above the age of 25 in the United States with college degress is between \( 32 \% \) and \( 44 \% \). This is an example of W that \( 37.5 \% \) of adults above the age of 25 in the United States have a college dogree. If we take a sumole of 200 random indididials above the agn of 25 , we k a 50 Bh chance that \( 37.5 \% \) or less will have a college degree. This is an example of - a random sample of 200 individats above the age of 25 in the Urited States and frid that \( 38 x \) fave college degrees. Thas leads us to speculofe that the actual bove the age of 25 in the United 5 tates with college degrees is between \( 32 \% \) and 445 This is an example of


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Answer: a.)Suppose we know that 37.5% of adults above the age of 25 in the United States have a college degree if we take a sample of 200 random indi
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