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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Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...
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