If we multiply the data values by a constant (say, c), how this will affect the geometric mean? Use Equation # 2 to prove it, and give an example. 3) If we add a constant (say, d) for all data values, how this will affect the geometric mean? Give an example
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.
i want to solve part 2 and 3
1) show that the two formulae of the geometric
2) If we multiply the data values by a constant (say, c), how this will affect the geometric mean? Use Equation # 2 to prove it, and give an example.
3) If we add a constant (say, d) for all data values, how this will affect the geometric mean? Give an example.
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