The Wechsler IQ test is normally distributed with mean 100 points and standard deviation 15 points. Use Excel or your graphing calculator to find the probability that a randomly selected person has an IQ between 100 and 110 points.Explain why it makes sense that what you found above is not half of the result from the previous slide. Refer to the IQ normal curve in your explanation
The Wechsler IQ test is normally distributed with mean 100 points and standard deviation 15 points. Use Excel or your graphing calculator to find the probability that a randomly selected person has an IQ between 100 and 110 points.Explain why it makes sense that what you found above is not half of the result from the previous slide. Refer to the IQ normal curve in your explanation
The Wechsler IQ test is normally distributed with mean 100 points and standard deviation 15 points. Use Excel or your graphing calculator to find the probability that a randomly selected person has an IQ between 100 and 110 points.Explain why it makes sense that what you found above is not half of the result from the previous slide. Refer to the IQ normal curve in your explanation
The Wechsler IQ test is normally distributed with mean 100 points and standard deviation 15 points. Use Excel or your graphing calculator to find the probability that a randomly selected person has an IQ between 100 and 110 points.
Explain why it makes sense that what you found above is not half of the result from the previous slide. Refer to the IQ normal curve in your explanation.
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MAth in Context 5.5:
The Wechsler IQ test is normally distributed with mean 100 points and
standard deviation 15 points. Use Excel or your graphing calculator to
find the probability that a randomly selected person has an IQ between
100 and 110 points.
a
Explain why it makes sense that what you found above is not half of
the result from the previous slide. Refer to the IQ normal curve in
your explanation.
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Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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