This chapter entails to present findings on the study that aimed at finding on the impact of power blackout on performance in the small and medium scale industry in Arusha district. The study was organized into three specific research objectives which were to assess the impact of power blackout on productivity for small and medium enterprises; to determine impact of power blackout on income for small and medium enterprises and finally to identify the implication of power blackout on human resource in small and medium enterprises. 4.1. Response Rate The targeted sample size was 60 respondents for collecting data with regard on the impact of power cut on performance in the small and medium enterprises in Arusha district. From the study, 48 out …show more content…
Specifically the industries or enterprises involved were Beverage, Food processing, milling machineries, timber works, printing and textile and garment industry. 4.2.1. Sex of the Respondents In this study the respondents asked to indicate their gender and the results was as follows; 40 respondents equal to 83.3% were male and 8 respondents equal to 16.7% were female. The results are presented in Table 4.2 and Figure 4.1. Table 4.2: sex of the Respondents Gender Frequency Percentage (%) Male 40 83.33 Female 8 16.67 Total 48 100.0 Source: Field data, (2016) Figure 4.1: sex of the
Industrial and Transportation Revolution During the late 1800s, the United States economy changed due to new inventions, remarkably rapid growth, and new forms of communication and transportation. Different factories were being built, and manufacturers had begun to reorganize the way of work. Factories and workers were going from hand production to machinery. The Industrial Revolution marked a turning point.
Then a 1920s photo of a Japanese cotton mill is displayed in document 8, which reveals that there were mostly women employees working in that particular factory. These three documents similarly show there was a leading importance of women to Japan’s mechanized cotton industry as well as a employment of children in factories. This greatly contrast to India, which can be seen in document 7 as it reveals that during this time period while Japan had 80.6% of female employment, India only had 18.9 %. Furthermore, the contrast can be seen visually by comparing the images from Document 8 and document 10, in which document 8 shows females as being dominant in factory employment, in
• Approximately seven eighths of the participants responded to the
In your opinion, is federal funding better spent on all-hazards first responder preparedness, or on R&D efforts to find new emergency management solutions for terrorist hazards? Often we are faced with an A or B decision. How do we truly decide which one is better for the greater good? If you were asked, who is the best NFL Quarterback in NFL history?
Nominal Ordinal Interval Ratio ID Degree Perf. Rat. Salary Gender Grade Compa Gender1
1. What demographic variables were measured at the nominal level of measurement in the Oh et al. (2014) study? Provide a rationale for your answer.
This report gave relative figures and data about demographics,
The study was longitudinal so that efficient data would be acquired. Thirty-five
The source Conditions at the Triangle Shirtwaist Company, revealed what the working conditions for women were and the
Document 4 is from a Buddhist priest from a rural area of Japan from which many farm girls were sent to work in the mills around 1900. The priest discusses how the peasants in the rural area were poor and had little to eat, and that girls who went to work in the factories were the peasants’ only salvation because of the wages they received. This further emphasizes that the majority of women during this time were factory workers. Document 7 is a table based on data from a dissertation called “Industrialization and the Status of Women in Japan,” written in 1973. According to this table, from 1909 to 1934 there was a slight decrease in the percentage of female cotton textile laborers in India, and only around one-fifth of all women worked in cotton textile factories.
The reason the oil prices spiked briefly during Hurricane Irene is because the supply of oil nationwide was going to reduce because of the closure of some oil refineries that were along the path of the hurricane. The closed refineries at that time had a production capacity of approximately a million barrels per day. This meant that the market supply of oil reduced significantly, causing the oil prices to soar because of a shortage in oil supply. After the refineries were opened, when Hurricane Irene had passed, the supply steadily went back to the normal market supply, this resulted in the gradual price reduce of oil. There are other products that experienced an increase in prices as the oil prices increased.
According to Matzner (2010), studies have shown eight to
4.1 SEX-Dose sex differ will have influence on student’s score? From the histogram graphs above, we can confirm that mean in four subjects are trend to normally distributed. To test whether the mean for reading, writing, math and science is the same for males and females, an independent samples t-test tool is suitable because it can compare the means of a normally distributed interval dependent variable for two independent groups. H0: Females have no significant difference and high mean score than males in reading score H1:
The data were processed and analyzed using SPSS version 18. Frequencies, cross tabulation, Pearson’s, chi-square test, ANOVA were used to analyze the data. A p-value of <0.05 was considered statistically
Hofstede analysis of culture considering the gender would give a different