How to interpret a standard deviation
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(b) 402 is 1 standard deviation below 494, so 68/2 or 34% of the scores are between 402 and 494. 678 is 2 standard deviation above the mean, so 95/2 or 47.5% of the scores are between 494 and 678. Thus 34 + 47.5 = 81.5% of the scores are between 402 and 678. (c)
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(c) Find and interpret the standard deviation of J 4.The probability distribution below is for the random variable X = number of medical tests performed on a randomly selected outpatient at a certain hospital.
[DOCX File]Statistics in Biology - WELCOME TO MRS. …
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The higher the standard deviation, the further your values are distributed from the mean. In a normally distributed sample, 1 standard deviation represents 34.1% variance away from the mean. If we calculate variance on either side of the mean (+/- the mean), then for 1 standard deviation we should expect our samples to fall within 68.3% of the ...
[DOCX File]Describing and Interpreting Data
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The standard deviation is found by taking the square root of the variance, and the standard deviation is more useful than the variance in reporting results so it is the measure that is typically reported. ... Find & interpret the range, variance and standard deviation. (Assume the population formula.)
[DOC File]STANDARD
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The student, given a set of data, will interpret variation in real-world contexts and calculate and interpret mean absolute deviation, standard deviation, and z-scores. Essential Understandings Essential Knowledge and Skills Descriptive statistics may include measures of center and dispersion.
[DOC File]Chapter 12-13 Study Guide:
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Calculate and interpret the expected value of this distribution. Calculate and interpret the standard deviation of this distribution. 3. Suppose that the number of text messages sent each day by a certain student is approximately normally distributed with a mean of 52. Also, on about 20% of the days she sends more than 75 texts.
[DOC File]Standard deviation - 物理學系
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A large standard deviation indicates that the data points are far from the mean and a small standard deviation indicates that they are clustered closely around the mean. For example, each of the three data sets {0, 0, 14, 14}, {0, 6, 8, 14} and {6, 6, 8, 8} has a mean of 7.
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