The number of lattes sold daily by two coffee shops is shown in the table. Shop A Shop B 55 45 52 42 56 57 48 48 57 11 30 10 45 46 41 43 Based on these data, is it better to describe the centers of distribution in terms of the mean or the median? Explain. A: Mean for both coffee shops because the data distribution is symmetric B: Median for both coffee shops because the data distribution is not symmetric C:Mean for shop B because the data distribution is symmetric; median for shop A because the data distribution is not symmetric D: Mean for shop A because the data distribution is symmetric; median for shop B because the data distribution is not symmetric
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.
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