2. Suppose we have a data set of the number of traffic violations per day in NYC that was entered manually by a worker. For one day in October, he typed in that there were 1500 violations; but there were actually only 150 that day. How will this error affect the measures of center for this data? A. The mean and the median will be higher than they should be. B. The mean and the median will not be affected by this error. C. The mean will be higher than it should be, but the median will not be affected. D. The median will be higher than it should be, but the mean will not be affected.
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
2. Suppose we have a data set of the number of traffic violations per day in NYC that was entered manually by a worker. For one day in October, he typed in that there were 1500 violations; but there were actually only 150 that day. How will this error affect the measures of center for this data?
A. The
B. The mean and the median will not be affected by this error.
C. The mean will be higher than it should be, but the median will not be affected.
D. The median will be higher than it should be, but the mean will not be affected.
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