interpret this results by comparing the results between Male and Female. RangeInter QuartileVarianceStandard DeviationVariable \RangeMeasurementAge3634121162.55556.8707.9097.541Years of2923101040.21743.0056.3426.558Services1151990778 | 1614767272MonthlySalary228000432000310002825033940.99040184.167IncomeSress_Level1110821716387.930225.57819.69615.019Total Long- 3877000 2881400 361500 381025 2.762E+112.085E+11522138.736 456569.544Term CreditLiabilitiesin Rs.MaleFemaleMaleFemale

Name: interpret this results by comparing the results between Male and Femal
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Description: interpret this results by comparing the results between Male and Female. RangeInter QuartileVarianceStandard DeviationVariable \RangeMeasurementAge3634121162.55556.8707.9097.541Years of2923101040.21743.0056.3426.558Services1151990778 | 1614767272Mont

The variation in age for males is greater than females with standard deviations of 7.909 and 7.541…

Math

Statistics

Range Inter Quartile Variance Standard Deviation Variable \ Range Measurement 美1 1 Age 36 34 12 11 62.555 56.870 7.909 7.541 Years of 29 23 10 10 40.217 43.005 6.342 6.558 Services Monthly Salary 228000 432000 31000 28250 1151990778 1614767272 33940.990 40184.167 Income Sress_Level1 110 82 17 16 387.930 225.578 19.696 15.019 Total Long- 3877000 2881400 361500 381025| 2.762E+11 2.085E+11 522138.736 456569.544 Term Credit Liabilities in Rs. Female

Range Inter Quartile Variance Standard Deviation Variable \ Range Measurement 美1 1 Age 36 34 12 11 62.555 56.870 7.909 7.541 Years of 29 23 10 10 40.217 43.005 6.342 6.558 Services Monthly Salary 228000 432000 31000 28250 1151990778 1614767272 33940.990 40184.167 Income Sress_Level1 110 82 17 16 387.930 225.578 19.696 15.019 Total Long- 3877000 2881400 361500 381025| 2.762E+11 2.085E+11 522138.736 456569.544 Term Credit Liabilities in Rs. Female

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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