basicstatisticsuseofminitab(文件)
【正文】 ca, SigmaPlot, etc) but all the rest of course is developed with use of Minitab. Belton Confidential: For training only 28 Minitab Windows Menu Bar Tool Bar Session Window: mands and results appear here (Ctrl + S) Data Window: worksheets appear here。 Leaf Diagram Bar Chart Trend Chart Frequency Distribution Location Dispersion Shape Mean Median Mode Quartiles Range Standard Deviation Variance Interquartile Range Skewness Kurtosis Belton Confidential: For training only 11 Numerical Measures ? Describes the characteristics of the data set. ? Key numerical measures: ? measures of location (central tendency) ? measures of dispersion (variation) ? measures of shape (distribution) Belton Confidential: For training only 12 Measure of Location ? Mean (will not be discussed) ? Median (will not be discussed) ? Mode (will not be discussed) ? Quartiles Belton Confidential: For training only 13 Quartiles ? When an ordered set of data is divided into four equal parts,the division points are called quartiles. ? The first or lower quartile Q1 is a value that has approximately 25% of the observations below in value. ? The second quartile Q2 is a value that has approximately 50% of the observations below in value. It is also called the median. ? The third or upper quartile Q3 is a value that has approximately 75% of the observations below in value. Belton Confidential: For training only 14 Quartiles ? Twenty ordered observations on the times to failure (in hours) of electrical insulation material are shown below. 204 228 252 300 324 444 624 720 816 912 1176 1296 1392 1488 1512 2520 2856 3192 3528 3710 ? ?? ?? ?20xx22520xx121044211769123842444324321??????????x~QBelton Confidential: For training only 15 Measure of Dispersion ? Range (Will not be discussed) ? Variance (Will not be discussed) ? Standard Deviation (Will not be discussed) ? InterQuartile Range Belton Confidential: For training only 16 Interquartile range ? The interquartile range is another measure of dispersion. IQR = Q3 Q1 ? The interquartile range is less sensitive to extreme values in a sample than the range. ? For the two samples (1, 3, 5, 8, 9 and 1,
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