A back-to-back stem-and-leaf plot compares two data sets by using the same stems for each data set. Leaves for the first data set are on one side while leaves for the second data set are on the other side. The back-to-back stem- and-leaf plot available below shows the salaries (in thousands) of all lawyers at two small law firms. Complete parts (a) and (b) below. W Click the icon to view the back-to-back stem-and-leaf plot. (a) What are the lowest and highest salaries at Law Firm A? at Law Firm B? How many lawyers are in each firm? At Law Firm A the lowest salary was $ 91000 and the highest salary was $ 202000 At Law Firm B the lowest salary was $ 91000 and the highest salary was $ 190000 There are lawyers at Law Firm A and lawyers at Law Firm B.
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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