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Business Analytics - Assignment Example

Summary
The paper "Business Analytics" is a perfect example of a statistics assignment. Of all the respondents who took part in the study, most of them were employed in the private sector, standing at approximately 378 workers, forming 75.6% of all employees. …
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Extract of sample "Business Analytics"

Business Analytics Name: Institution: Question 1 age frequency 0 - 10 0 11- 20 0 21- 30 59 31 -40 148 41 -50 142 51 - 60 99 61 - 70 46 Age distributions of all the respondents Histogram showing the age distribution of all the respondents We take the mean to be the appropriate measure of location and the mean age for the distribution is 35 From the analysis of the respondents, the highest number of respondents was aged between 30 and 50 years of age, each at over 140 respondents. This was followed by respondents aged between 50 and 60 years, then those aged between 20 and 30. The lowest number of respondents was those aged between 60 and 70. Work sector Frequency percentage Private 378 75.6 Government 78 15.6 Self employed 44 8.8 Percentage Frequency table the work sector Of all the respondents who took part in the study, most of them were employed in the private sector, standing at approximately 378 workers, forming 75.6% of all employees. The second largest employment sector for the employees was the government, which employed 15.6% of all the employees. Self employed workers only constituted 8.8% of the total employees. This shows that most people in the country prefer working in the private sector, probably because of the higher salary and other benefits they stand to realize in the course of their work. The second high employer is the government. Although statistics show that government employees are the lowest paid, the high employment index as compared to the self employed workers could be as a result of the security that comes along with government employment and the difficult there is in starting self employed enterprises in the country. The few who manage to get past these obstacles get to employ themselves, and stand to gain the highest amount of income (Moses, 1986). Histogram for the work sector representing their percentages education frequency percentage Diploma 139 27.8 Bachelors degree 90 18 Post graduate 36 7.2 Completed secondary 160 32 Did not complete secondary 17 3.4 Some secondary 58 11.6 Frequency table showing percentages of education Histogram showing percentages of education The highest number of respondents in the study is those that have completed their secondary level of education. This is followed by those that have attained diploma level of education, then those with bachelors’ degree. The fourth group is that with some level of secondary education, then those who have attained post graduate level. Those who did not complete their secondary level of education form the least number among the respondents. An analysis of these findings shows that most people in the country have middle level standard of education, which is concentrated around bachelors’ degree and secondary education. The extreme ends, which are the groups with the highest forms of education and the lowest form of education (those with post graduate level of education and those who did not complete their education) form the least numbers among the respondents, further reinforcing the fact that a majority of the country’s population are middle level educated. gender frequency percentage Male 266 53.2 female 234 46.8 Frequency table representing percentages of gender Histogram showing percentages of gender Male respondents in the study were more than female respondents. This could be an indication that men were eager to give information to the study than their female counterparts, or that the sampling technique used by the study was not keen on ensuring that it included an equal number of respondents for each sex. Histogram representing male and female age distributions We take the mean to be the appropriate measure of location for both the variables with the mean for male being 36.4 and female being 34.2 At each age distribution, male respondents were more that female respondents, with the difference in their numbers equaling to less than ten respondents for each age group. Question 2 Histogram showing the distribution of respondent’s incomes We take the mean to be the appropriate measure of location and spread of income with the mean income being $74365. A majority of the respondents earned salaries between $10,000 and $50,000, standing at approximately 350 respondents. These were followed by those who earned between $50,000 and 100,000, at approximately 75 respondents. The next category was that of respondents who earned between $0 and $10,000, at 42. The respondents who earned the highest amount of salary were approximately 20, and they earned salaries ranging from $100,000 and above. This means that a bulk of the country’s employees earn between $10 and $50,000, while very few people earned the highest possible amount of income, that above $100,000. Question 3 Histogram showing the distributions of incomes of male and female Bar chart representing the mean for male and females We take the mean to be the appropriate measure of location and spread of income for gender aa illustrated below. The female respondents earn a mean income of $50000 The male respondents earn a mean income of $70000 Across all levels of income, male employees get paid higher than their female counterparts. The difference in the amount of income, however, is not big as differences ranging between $0 and $20,000. These differences are irrespective of the fact that the male and female employees are equally educated and qualified to perform their job tasks as effectively as the male employees. The differences in the amount of income for the respondents based on their sex is a phenomenon that has existed in the country for a long time now, and the differences have been reducing over time as women champion for equal rights with men. Despite these calls for equality, companies are yet to adopt the stance for equal pay for their female employees as that of the male employees. From the figures, however, it is clear that women are catching up with men on the issue of pay. Question 4 Histogram representing distribution of income to educational level Bar chart representing mean for each education level We take the mean to be the appropriate measure of location and spread of income for each education level as analyzed below Those who did not complete school earn a mean income of $5000 Those who went attended some secondary earn a mean income of $15000 Those who completed secondary earn a mean income of $35000 Those who attained post graduate degrees earn a mean income of $150000 Those who attained bachelor’s degrees earn a mean income of $75000 Those who attained diplomas earn a mean income of $40000 From the results of the analysis above, persons with the level of education past post graduate level earn the highest amount of income, while those who did not complete secondary school earn the least amount of income. These findings support the widely acknowledged claims that the higher educated one is, the higher amount of income is predisposed to earning (Hays, 1973). Jobs that require post graduate level of education are the highest paying in the country, followed by those that require people with bachelors’ degree. Diploma holders come third, while those with secondary education come fourth. Those who did not complete secondary school or those with some level of high school education earn less because they are likely to engage in the highly manual yet less paying jobs. The higher educated one is in the country, the higher he is likely to earn a higher income with all factors held constant. Those with high levels of income get employed in white collar jobs, which pay higher, hence the discrepancy in the levels of income depending on the level of education. Question 5 Histogram representing distribution of income to each work sector Bar chart representing mean for each work sector We take the mean to be the appropriate measure of location and spread of income for each sector which will be analyzed as follows Self employed respondents earn a mean salary of $85000 Private employed respondents earn a mean salary of $75000 Government employed respondents earn a mean salary of $35000 From the above analysis of the respondents, it is evident that people working in the private and self employed sector earn an average salary that is higher than that of people working in government offices and agencies. A mean of the income of the respondent’s shows that self employed people earn the highest salary, followed by those working in the private sector, and the least paid are those working for the government. This shows that it is a lot more profitable for employees working in their own businesses than working for the government. This trend is supported by the free and liberal form of business in the country, and the unlimited opportunities there are for these people to earn unlimited amounts of income. The private sector is the second best paying sector in the company, because of the high fees that customers have to pay when using private facilities and accessing private services. The government is the least paying employer, because of the quest for the government to standardize the salaries it pays its employees. Government services and facilities are also subsidized, so that customers accessing these services only pay little fees. Reference Hays, W 1973. Statistics for the Social Sciences, Holt, Rinehart and Winston Moses, L 1986. Think and Explain with Statistics, Addison- Wesley Read More

 

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