A researcher wishes to calculate the average height of patients suffering from a pa disease. From patient records, the mean was computed to be 156 cm, with a stand deviation of 5 cm. Further investigation reveals that the scale was misaligned, and readings are 2 cm too large, for example, a patient whose height is really 180 cm measured as 182 cm. Furthermore, the researcher would like to work with statisti meters (1 meter = 100 centimeters). What would be the revised values for the me standard deviation of the patients' heights?
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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