The distribution of the iq (intelligence quotient) is approximately normal in shape with a mean of 100 and a standard deviation of 15. according to the standard deviation rule, what range of iq scores do many (68%) people have

The range of  IQ scores for 68% of the people varies from 85  to 115

Given that the distribution of IQ (Intelligence Quotient) is approximately normal in shape

According to the empirical relation for normal curve 68% of the data lies in the range

So the  lower limit of the range of  the normal distribution of IQ score  = 100 -15 = 85

The upper limit of the range of the normal distribution of IQ score  = 100 + 15 = 115

So we can conclude that the range of  IQ scores for 68% of the people varies from 85  to 115

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Step-by-step explanation:

The Standard Deviation Rule states that for a normal distribution, nearly all of the data will fall within three standard deviations of the mean . The empirical rule is further illustrated below

68% of data falls within the first standard deviation from the mean.

95% fall within two standard deviations.

99.7% fall within three standard deviations.

The distribution of the IQ (Intelligence Quotient) is approximately normal in shape with a mean of 100 and a standard deviation of 15.

Therefore, the range of IQ scores that many (68%) people have is between

100 - 15 and 100 + 15

It becomes

85 to 115

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step-by-step explanation:

4y - 6 + 4y^2 - 9

before simplifying this contains 4 terms

after simplifying

4y -15 + 4y^2

it contains 3 terms

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step-by-step explanation: