STS Solve Applications Involving Normal DistributionsA set of 1200 exam scores is normally distributed with a mean of 84 and standard deviation of 9. Use theEmpirical Rule to complete the statements below.

STS Solve Applications Involving Normal DistributionsA set of 1200 exam scores is normally distributed with a mean of 84 and standard deviation of 9 Use theEmpi class=

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Let us upload the bell curve for standard normal distribution

Given that

[tex]\begin{gathered} \mu=84 \\ \sigma=9 \\ \end{gathered}[/tex]

15) How many students scored higher than 84

Therefore, the number of students that will score higher than 84 which is the mean will be 50% from the bell curve standard normal distribution.

Hence, the answer is 50%.

19) How many students scored lower than 75?

To get the number of students that score lower than 75, we will subtract 1standard deviation from the mean.

[tex]\begin{gathered} \mu-\sigma=84-9=75 \\ \end{gathered}[/tex]

Hence, the number of students will be

[tex]9.2\text{ \%+4.4\%+1.7\%+0.5\%+0.1\%=15.9\%}[/tex]

The answer is 15.9%.

20) How many students scored lower than 93?

To get the number of students that score lower than 93, we will add 1standard deviation from the mean.

[tex]\mu+\sigma=84+9=93[/tex]

Hence, the number of students will be

[tex]100\text{ \% -(9.2+4.4+1.7+0.5+0.1)\%=100\%-15.9\%=84.1\%}[/tex]

The answer is 84.1%.

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