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Section 6.1 Expected Valuate “expected value is really just a fancy name for “weighted average “. It's the value of a random variable one would “expect to find if one could repeat the random
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01
Identify the variables involved in the calculation.
02
Determine the probability of each possible outcome.
03
Multiply each outcome by its corresponding probability.
04
Sum up all the products obtained in step 3.
05
The result obtained in step 4 is the expected value.

Who needs 1 expected value?

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Expected value is important in various fields, such as finance, economics, and statistics.
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Investors often use expected value to analyze potential investments and make decisions.
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Companies use expected value to assess risks and make strategic plans.
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Insurance companies utilize expected value to determine premium rates.
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Researchers and analysts rely on expected value to evaluate hypotheses and predictions.
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1 expected value is the anticipated outcome or average value of a random variable calculated over a large number of trials.
Anyone who needs to analyze data and make decisions based on statistical probabilities may need to calculate and file 1 expected value.
To calculate 1 expected value, you need to multiply each possible outcome by its probability and then sum up all the products.
The purpose of 1 expected value is to provide a single value that represents the average outcome of a random variable, helping in decision making and risk analysis.
The calculated expected value and the method used to derive it must be reported on 1 expected value.
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