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On a test, mean score was 70 and the standard deviation of the scores was 15.

What is the probability that a randomly selected test taker scored below 50?

User Pius
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1 Answer

4 votes

Answer:


P(x\:<\:50)=0.0918

Explanation:

To find the probability that a randomly selected test taker scored below 50, we need to first of all determine the z-score of 50.

The z-score for a normal distribution is given by:


z=(x-\bar x)/(\sigma).

From the question, the mean score is
\bar x=70, the standard deviation is,
\sigma=15, and the test score is
x=50.

We substitute these values into the formula to get:


z=(50-70)/(15).


z=(-20)/(15)=-1.33.

We now read the area that corresponds to a z-score of -1.33 from the standard normal distribution table.

From the table, a z-score of -1.33 corresponds to and area of 0.09176.

Therefore the probability that a randomly selected test taker scored below 50 is
P(x\:<\:50)=0.0918

On a test, mean score was 70 and the standard deviation of the scores was 15. What-example-1
User Ekhaled
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