4. A standardized memory test has a mean of µ = 100 and a standard deviation of σ = 10. Answer the following questions: a. What proportion of people would score below 88 on the memory test? b. What is the percentile rank for someone who scored a 116 on the memory test? c. What are the scores that separate the middle 30% (15% on each side of the mean) d. What percent of individuals would score between 86 and 109 Use table below
4. A standardized memory test has a mean of µ = 100 and a standard deviation of σ = 10. Answer the following questions: a. What proportion of people would score below 88 on the memory test? b. What is the percentile rank for someone who scored a 116 on the memory test? c. What are the scores that separate the middle 30% (15% on each side of the mean) d. What percent of individuals would score between 86 and 109 Use table below
4. A standardized memory test has a mean of µ = 100 and a standard deviation of σ = 10. Answer the following questions: a. What proportion of people would score below 88 on the memory test? b. What is the percentile rank for someone who scored a 116 on the memory test? c. What are the scores that separate the middle 30% (15% on each side of the mean) d. What percent of individuals would score between 86 and 109 Use table below
4. A standardized memory test has a mean of µ = 100 and a standard deviation of σ = 10. Answer the following questions: a. What proportion of people would score below 88 on the memory test? b. What is the percentile rank for someone who scored a 116 on the memory test? c. What are the scores that separate the middle 30% (15% on each side of the mean) d. What percent of individuals would score between 86 and 109
Use table below
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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