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1/4 Normal Distribution HW
... 1. The distribution of heights of Clayton High students is approximately normal with a mean of 172cm and a standard deviation of 7 cm. a. Label the graph including the mean, ±1s , ±2s , ±3s . ...
... 1. The distribution of heights of Clayton High students is approximately normal with a mean of 172cm and a standard deviation of 7 cm. a. Label the graph including the mean, ±1s , ±2s , ±3s . ...
Presentation of Data
... It is used to compare dispersion in two sets of data especially when the units are different It measures relative rather than absolute variation It takes in consideration all values in the set ...
... It is used to compare dispersion in two sets of data especially when the units are different It measures relative rather than absolute variation It takes in consideration all values in the set ...
PSSA Review
... Some of the important characteristics of the normal curve are: The normal curve is a symmetrical distribution of scores with an equal number of scores above and below the midpoint of the abscissa (horizontal axis of the curve). Since the distribution of scores is symmetrical the mean, median, and mo ...
... Some of the important characteristics of the normal curve are: The normal curve is a symmetrical distribution of scores with an equal number of scores above and below the midpoint of the abscissa (horizontal axis of the curve). Since the distribution of scores is symmetrical the mean, median, and mo ...
Mean Median
... fall therein. Geometrically true (these are percentages of entire normal distribution). D. For normal distributions (most data sets), practically all scores fall in between +3 and -3 sd’s (99.74%). Look at the probabilities of falling in between. 34.13% x 2 = 68.26% cases fall within 1 to -1 sd’s fr ...
... fall therein. Geometrically true (these are percentages of entire normal distribution). D. For normal distributions (most data sets), practically all scores fall in between +3 and -3 sd’s (99.74%). Look at the probabilities of falling in between. 34.13% x 2 = 68.26% cases fall within 1 to -1 sd’s fr ...
Measures of Center and Spread
... Questions: (p. 52-53 in book) 1. Why do we square the deviations? ...
... Questions: (p. 52-53 in book) 1. Why do we square the deviations? ...
Unit I Review Sheet This is NOT a comprehensive list – However, if
... Compare values from two different distributions using their z-scores. Use Normal models (when appropriate) and the 68-95-99.7 Rule to estimate the percentage of observations falling within one, two, or three standard deviations of the mean. Determine the percentages of observations that satisfy cert ...
... Compare values from two different distributions using their z-scores. Use Normal models (when appropriate) and the 68-95-99.7 Rule to estimate the percentage of observations falling within one, two, or three standard deviations of the mean. Determine the percentages of observations that satisfy cert ...