Remaining 01. 6% of patrons are widow. It could be conclude that percent of married respondents is higher than matlab unmarried and widow. Interpretation of gender: From matlab data matlab is found out that 57. 8% of Consumer are male . Remaining 42. 32. Open Microsoft Excel worksheet and enter engineering pattern set of 10 randomly selected numbers in column A, starting with matlab first row: 3, 1, 23, 7, 0, 12, 2, 7, 2, 1 Note: don’t enter commasin matlab first row of column B and lengthen matlab all the way down to matlab 10th row. Final end result of “outlier’s detection” need to seem in column B, indicating two “outliers” numbers 23 and 12 as proven below:The first approach defined above in in response to Modified Z rating and underlying Median/MAD computation. In many cases particularly for small sample sizes, matlab provides more robust statistical outliers detection than engineering “basic” z rating, which implies matlab detection according to Standard Deviation and Mean common. Just for reference purposes, matlab pattern computation under describes matlab outliers detection according to “2 Sigma” z score; in other words, any numeric price in engineering data set considered an “outlier” if it’s absolute cost of deviation from matlab statistical common exceeds 2STD. Note: As mentioned above, matlab first approach is customarily more physically powerful and recommended for small pattern sizes:Step 1.