Why is normal distribution important in statistical analysis?
Why is normal distribution important in statistical analysis?
An important statistical effect was named for this manufacturing plant. What is it?
In a famous research study conducted in the years 1927-1932 at an electrical equipment manufacturing plant, experimenters measured the influence of a number of variables (brightness of lights, temperature, group pressure, working hours, and managerial leadership) on the productivity of the employees.
The major finding of the study was that no matter what experimental treatment was employed, the production of the workers seemed to improve. It seemed as though just knowing that they were being studied had a strong positive influence on the workers.
.The Hawthorne effect
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In the field of analytical measurement, the z-multiplier is a measure of error. It indicates a statistical probability of error. It is calculated using standard formulas for normal distribution.
The p-value is the probability of any event or the level of significance for any statistical test. The z-score is a transformation applied to a Random Variable with any Normal distribution to the Standard Normal distribution.
The normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.
The standard normal distribution is a normal distribution with mean 0 and variance 1.
A mathematical definition of a standard normal distribution is given in the related link. A standard normal distribution is a normal distribution with a mean of 0 and a variance of 1.