Determine if the process is in control or not, using the western electric rules. Next to each scatter plot are their histogram. Does the histogram give similar information to the scatter plots? X-Bar HISTOGRAM 900 10 800 700 600 500 400 300 200 100 2. 10 15 20 25 30 -Sample Mean UCI +2 sigma 2sigma 1 gma 1sigma (418.2, 462.3 (462.3, s06.31 (506.1, S50.4 (S50.4, 594.4) (5944, 638.5 X-Вar HISTOGRAM 2. 0. 10 15 20 25 30 1. -0-Sample -0-Mean 0-UCL -0-LCL [5.35, S.40) (5.40, S8S) (S.85, 6.10 (6.10, 6.35) (6.35, 6.60) -0-12 sigma -0-2 sigma -0-+1 sigma-0-1sigma AVERAGE SAMPLE Frequency Asuanba
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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