Business Stats
Assignment 1a)Sorted GenderIncomeMalesFemales6288b)[pic 1]c) Table (a) shows the frequencies for the number of male and female employees  in the same job categories, which are selected randomly (88 females and 62 males). Graph (b) reveals that the proportion of gender which is used in this study. 59% of the study consists of females and 41% are males.d) Summary StatisticsMaleFemaleCount6288Minimum1.52.2Maximum9691Range94.588.8Mean23.4519.96Std Dev17.3612.28Coefficient of variation74%62%Median18.1817.13Lower quartile13.5712.93Upper quartile25.4824.53IQR11.9111.6e) FrequencyPercentage FrequencyCumulative Percentage FrequencyUpper boundMidpointMaleFemaleMaleFemaleMaleFemale0-5000%0%0%0%10581213%14%13%14%2015284045%45%58%59%3025152524%28%82%88%4035375%8%87%95%5045223%2%90%98%6055315%1%95%99%7065102%0%97%99%8075102%0%98%99%9085000%0%98%99%10095112%1%100%100%110105000%0%100%100%TOTAL6288100%100%f) The income levels are different for the two groups of gender. The income level that approximately  95% of  males earn up to is $50000 to $60000, and the income level that approximately 95% of females earn up to is $30000 to $40000. Males generally earn more income in comparison with females. Cumulative percentage frequency at 95% shows that larger percentage of females (95%) earn up to $40000. Male cumulative percentage frequency at 95% shows that most males (95%) earn up to $60000.

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