Four Basic Steps Comprise the Controlling Function of Management

There are four basic steps in management’s controlling function. The study focuses on the four basic steps of management’s control function. The study includes generating examples vividly explaining each management control function step. Setting into motion the four steps of management’s control function improves profit performances.Advertising We will write a custom essay sample on Four Basic Steps Comprise the Controlling Function of Management specifically for you for only $16.05 $11/page Learn More There are four basic steps of management control function. First, management must establish standards of performance. Management must define the benchmarks. Management must implement goals and objectives. For example, management sets the sales benchmark at a minimum of $ 200,000. Likewise, management sets the benchmark for operating expenses at an amount lower than $50,000. In addition, management establishes transportation expenses at ten percent of revenues. Further, management requires the factory to generate a minimum 2,000 units. Management orders the employees to work an additional two hours. The overtime period contributes to the company’s goal and objectives. Management can set a minimum sales quota of $300,000 for each store outlets. Management can prevent each store outlet from exceeding a $ 70,000 monthly operating expense. Second, management measures actual performance outputs. Many entities prepare and present performance measurement reports. The actual performance outputs must be related to the standards or benchmarks established. The company collects the actual sales figures from each store branch. Likewise, management collects the actual expense amounts from the different stores strategically located in major Cities within the United States. Third, management must compare the actual performances to the preset performance standards. Management determines whether the actual production output attains established organizational goals and objectives. Comparing includes determining the variance between the actual performance statistics and the established goals and objectives.Advertising Looking for essay on business economics? Let's see if we can help you! Get your first paper with 15% OFF Learn More For example, management must indicate the actual expenses are unfavorably higher than the established standards. In the same manner, management indicates that the actual operating expenses are favorably lower than established expense amounts. In addition, management comments that actual revenues are favorably higher than the established sales benchmarks. Fourth, management should take corrective actions. The actions improve current performance outputs. Management focuses its time and efforts correcting figures that vary from the established benchmarks, goals, or objectives. Management should prioritize controlling unfavorable performances. Management holds a bra instorming session. The session threshes out the reasons for the performance variances. All interested parties are invited to shed light on the discrepancy between actual outputs and benchmark figures. The employees, supervisors, managers, and other individuals encouragingly air their situational inputs. Management persuades all affected parties to give their comments, suggestions, complaints, and other recommendations. The employees request management to purchase new factory equipments. The new equipment increases current production outputs. The sales people requests management to increase its advertising expense allotments. Based on the inputs, management generates several alternatives. The alternatives contribute to reducing the variance between standards and actual performances. Management must set into motion the best alternative. Based on the above discussion, there are four basic steps in management’s control function. The basic steps focus on goal and objective attain ment. Some examples vividly explain each of the four steps of management’s control functions. Indeed, the implementation of the four steps of management’s control function enhances profits. This essay on Four Basic Steps Comprise the Controlling Function of Management was written and submitted by user Kayson Reed to help you with your own studies. You are free to use it for research and reference purposes in order to write your own paper; however, you must cite it accordingly. You can donate your paper here.

How to Collect and Prepare a Hickory Nut for Planting

How to Collect and Prepare a Hickory Nut for Planting Of the dozen or so American hickories, shellbark and shagbark hickory trees have shown some promise as edible nut producers. These are the only two Carya species (with the exception of pecan, scientific name  Carya  illinoensis) typically planted for nut production. All the following hickory nut suggestions apply as well to the collection and preparation of pecans. Timing Hickory flowers in the spring and completes nut maturity in early fall. Beginning as early as the first of September and continuing through November, various species of hickory nuts ripen and are ready for collection. Ripening dates can vary slightly from year to year and from state to state by as many as three to four weeks, so it is not possible to use precise dates to determine maturity. The best time to collect hickory nuts, either off the tree or from the ground, is when they begin falling: It is just that simple. Prime picking is late September through the first week in November, depending on the individual hickory tree species and its location within the United States. The hickory nut is perfect when the husks begin to split. Collecting The height of the hickory nut crop in a forest canopy and the thick forest litter below can make it somewhat difficult for the casual collector to gather large numbers of nuts (although not impossible). Another challenge is harvesting nuts before wildlife does. It is also important to remember that nut availability is never an annual given. Good hickory crops (called mast) of all species are produced at intervals of one to three years, so finding nuts can be a challenge in any given fall season. With that in mind, find forest trees that are open-grown with little forest underbrush. Yard trees or trees near paved areas make for easier collection in urban and suburban areas. Always identify the tree and place tags or mark the bags, so you will know what species you have collected. Storing Storage tests with pecan and shagbark hickory have demonstrated that hickories are like most other nut and acorn species: They should be dried to a low moisture content and refrigerated if not planted immediately. To be specific, Carya nuts should be dried to below ten percent moisture and stored at around 40 degrees Fahrenheit. If stored in sealed containers, the nuts should be able to retain good viability for two years. They will lose half to two-thirds of their ability to germinate after four years. Although hickory needs very little cold over a full season, studies show that viability can be improved by soaking the nuts in water at 70 degrees Fahrenheit for 64 hours. Some nut species need stratification  or a cold period of time to fully improve the germination process. Put damp peat mix or sawdust together with the dried hickory nuts in a polyethylene plastic bag that has a wall thickness of four to ten millimeters. These bags are ideal for storing nuts since they are permeable to carbon dioxide and oxygen but impermeable to moisture. Close the bag loosely and store in the refrigerator at 40 degrees Fahrenheit until planting time. Check nuts throughout the winter and keep just barely damp. Planting You can plant unrefrigerated nuts in the fall and let the winter season do what nature does- refrigerate. You can also spring-plant with stratified or cold-treated seed or take a chance on unstratified seed. For ground planting: Great results have been reported with fall seed sowing for hickory, but good mulching is necessary. Mulch should remain until germination is complete. Shading is generally not necessary, but hickory may profit from some  initial shade. Protection from rodents may be required for fall-sowings. For container planting: After determining the proper time to plant, you should place nuts in moderately  loose potting soil in one-gallon pots or deeper containers. The taproot will grow quickly to the bottom of containers and root width is not as important. Containers should have holes in the bottom to allow for drainage. Place hickory nuts on their sides at a depth of one-half the width to about the width of the nut. Keep the soil moist but not wet. Keep the pots from freezing.

Mayos Theory of Management Coursework Example | Topics and Well Written Essays - 500 words - 1

Mayos Theory of Management - Coursework Example Mayo’s studies propose some specific views on employee-manager relations. He opined â€Å"a tension between workers’ ‘logic of sentiment’ and managers’ ‘logic of cost and efficiency’†, which have the potential to lead to organizational conflicts. Lussier argues that in an organizational setting, a manager is responsible for enlightening his workers about the planned organizational changes (41). Therefore, workers get a clear idea regarding their future assignments. When the managers do not pass relevant information to employees, they would be unaware of the implemented organizational changes. Under such situations, managers and other people at the helm of affairs may unethically manipulate the workers. In my opinion, a manager would be fully responsible for unethically manipulating the worker, if the worker is unaware of the change. According to Illouz, Mayo’s management theory reflects that the workers should be seen as me mbers of a group rather than isolated individuals (p.117). He continues that the demand to belong to a group is more important to an employee than acquiring monetary incentives or satisfactory working condition. These ‘social needs’ of the workers can be met only if the managers ensure that the workers are well informed of the changes. In total, in order to integrate the workforce with organizational interests, managers must consider the employee as an inevitable element of the organization.

Emerging Technologies Trends Essay Example | Topics and Well Written Essays - 1000 words

Emerging Technologies Trends - Essay Example The fundamental task of this technology is to provide the users with numerous computers at any locations to execute their respective tasks (Mark Weiser, 1993). It is basically a technology that defines anywhere everywhere computing for the users of diverse necessities. This particular feature has been invented so as to enhance the communication features between the users present at various locations (Steglich.S, 2005). The Internet had grown manifolds over the past decade, which indeed had been a driving force for the research, over the improvisation of the availability of computing technology. This technology is not a simple implementation over the desktop computers. It involves all the diverse gizmos that can enable the user to communicate with various others users within a short period of time (Fujitsu.com, 2003). This is considered to be the future of the world where tasks are executed in the split of a second. The executable tasks comprise of online conferences, adding on new de als, decision that demand stern actions and many more which play a vital role in embedding a set of new tasks in a man's daily life. Thus turning into one of the favorite technologies it draws huge amount f attention from the users. WiMAX is an abbreviation for Worldwide Interoperability for Microwave Access. It is a technology that enhances the features of the Wireless MAN. WiMAX is also considered to be the technology that provides last mile wireless connectivity (PaloWireless.com, 2006). This concept of wireless technology is considered to wipe out the limitations of existing technologies by providing wireless connectivity to numerous computing systems spread over a large volume of area. Thus it is considered as the "last mile" connectivity which will also be available at affordable prices (RNCOS.com, 2006). WiMAX technology enables the users to communicate with each other over a wide spread area without facing any problems due to varied networks. This technology also provides the broadband connectivity at faster access rates with affordable price tags. Such a technology forms the backbone of Ubiquitous Computing so as to be implemented with ease. This technology not only supports Internet connectivity to th e computing devices present anywhere but also is being framed as a backbone for the mobile applications in near future (Intel.com, 2007). This will result in a wireless world turning into reality which indeed drives technology to higher standards. Service Oriented Architecture Service Oriented Architecture (SOA) is the latest buzzword that possesses all that is needed to provide a springboard to any organization that aims at utilizing IT services to the most optimum extent possible. It induces agility and competitiveness in commercial organizations. It transforms the IT assets of a company directly into bottom-line goals and objectives. While SOA requires some upfront strategy and investment, its benefits are numerous. "Just as the Databases were at the center of design of applications of the 70s and 80s, Components are at the center of design of the applications of the 90s and the next century" - David Vaskevitch, VP, Microsoft. The researchers at Gartner have stated that studies show that by the year 2008, SOA will become the dominant framework for creating and

A Comparitive Analysis of Women and Men Heart Diesease Leading Factors Dissertation

A Comparitive Analysis of Women and Men Heart Diesease Leading Factors - Dissertation Example While this belief that there are different treatment regimes that should be utilized depending on the gender of the patient remains controversial, it is nonetheless important to understand this problem from the perspective of the female. In considering the issue of cardiac disease among women, existing knowledge of women today regarding heard disease was analyzed, as was their beliefs and attitudes towards the risk of heart disease. This has contributed to the identification of substantial gaps in information related specifically to heart disease and its effect on women in general. These facts are confirmed in this study and outlined in the pages herein. Chapter 1: One’s state of health is most truly a reflection of the individuals ability to meet life’s many challenges head on, all the while maintaining his or her capacity for continuing to function at a high level (World Health Organization, 2010). In considering the effects that ill health has a person’s abili ty to function properly and to live a productive life, it is important various factors and risks that are inherent in society. Consider cardiovascular disease (CVD). Heart disease certainly remains the most common cause of death amongst both women and men in the developed world. This is in spite of the multiple epidemiologic and interventional studies that do demonstrate significant declines in incidences and the prevalence of CVD amongst individuals that adhere to a healthy lifestyle, and who receive treatment for a variety of risk factors (World Health Organization, 2010). Cardiovascular disease is most certainly worthy of in-depth study. The disease itself, in females, claims more lives than cancer, chronic low respiratory diseases, Alzheimer’s disease, and accidents combined. This amounts to a staggering one death per minute from CVD, of approximately 422,000 female deaths annually (Roger, Go, & Lloyd-Jones, 2011). This makes heart disease, by far, the number killer of wo men in the United States (American Heart Association, 2011). While it is true that, at the age of 40, men have a 35% great likelihood of suffering from heart disease during the lifetime in comparison to women, the effects of the disease

Programming for BIG Data Project

Programming for BIG Data Project Liliam Faraon Nowadays, the amount of data generated and stored without an operation has exceeded a data analysis capability without the use of automated analysis techniques. The exponential growth of data is greater than it has ever been seen, extracting useful information from all the data generated and transform it into understandable and usable information is the challenge. There is where data mining assumes an important role, plenty of tools are available for data mining tasks using artificial intelligence, algorithms, machine learning and many others. In the present work two datasets were analysed, one with R and the other one Python. All the analysis was based in the CRISP-DM basic concepts: Business Understanding, Data Understanding, Data Preparation, Modelling, Evaluation and Deployment. The full methodology was not applied in the project, but understanding parts of its process was fundamental, the steps are pretty straight forward and give a very good idea of every stage that data mining has to go through and the feedback brought from every stage. The project scope is limited to identifying patterns in the data rather than predicting future, which could be examined as part of further study of the subject matter. The present Project was divided into two different parts: Part 1: R Dataset Analysis and Part 2: Python Dataset Analysis. It contains also a brief contextualization about the Big Data Context and the importance of data mining. We live in a time when the pursuit of knowledge is indispensable. Today, information assumes a growing importance, and a necessity for any sector of human activity, due to the many transformations we are witnessing. At every moment, we are facing new concepts and trends and we are amazed at how quickly they are occurring and affecting our lives, such as the technology that influences all sectors, social environments and touches every business and life on the planet. The article written by Bernard Marr, and published by Forbes last year brings some statistics that convince that big data really needs attention: More data has been created in the past two year than in the entire history of human race; By 2020 around 1.7 megabytes of new information will be generated every second for every human being on the planet. Every second we create new data, a good example: only on Google 40.000 searches and queries are generated every second, which makes the huge amount of 1.2 trillion searches a year. Facebook users send on average 31.25 million messages and view 2.77 million videos every minute. Only in 2015, 1 trillion photos were taken and billions of them were shared on line. In 2015, over 1.4 billion smart phones were shipped, all capable of collecting different sorts of data and by 2020 the world will have over 6.1 billion smartphone users globally. Within five years there will be over 50 billion smart connected devices worldwide, all developed to collect, analyse and share data. Retailers that leverage the full power of big data would be able to increase their operating by as much as 60%. Now, only less than 0.5% of data is analysed. All the Big Data generated, have some characteristics: Rapid increasing volume, variety, velocity and data storage and transfer, gathering and analysing it all became a huge challenge, but by using specific programs designed to analyse the information on algorithms based will overcome the challenges and the output can be used to enable the decision-making process. For the R Project, a very specific database was analysed: Tourists Visiting the South of Brazil, The information was obtained in the Government website, in the Tourism division. 1.1 Business Understanding Tourism is an important sector that has an impact on development of nation economy. For many countries, the tourism is the most important source of income and jobs generation. Brazil is the fifth biggest country in the world with 8,511,965 sq km of area and the nation is divided into 5 regions: North, Northeast, Central-West, Southeast and South Regions. The Best in Travel 2014, by Lonely Planet guide classified Brazil as the best tourist destination in 2014. According to the official Brazilian Tourism Website Around 6 million people visit the country every year, it is considered the main touristic market in South America and the second in Latin America. It is estimated that only around 17% of all tourists visiting Brazil go to the South region, composed by three States: Parana, Rio Grande do Sul and Santa Catarina. Having in mind those numbers and the knowledge that the most visited places in Brazil do not include the South of the country a dataset was analysed to get some information and find out how many visitors have been there and where they were from. 1.2 Data Understanding Source data: http://www.dadosefatos.turismo.gov.br/estat%C3%ADsticas-e-indicadores.html Format: csv, comma-separated Size: 3.46MB Number of rows: 73.392 Columns: 1 Continent 2 Country 3 State 4 Year 5 Month 6 Count The technologies used were Excel and R Studio. 1.3 Data Preparation The first downloaded version had 534.792 rows, it included the tourism information from all the 26 states and it was based on data from 1989 to 2015. It was a quite huge dataset that would not be convenient to extract useful outputs as Brazil had been through many economic and social changes in this period. Excel was used to exclude the information from other states as well as the years before 2005. As the dataset was all provided in Portuguese Language the code was used to facilitate visualization: The next step was looking at the data, for a better understanding, Dimensions, Names, Classes and Summaries codes were written: Results: Some table codes were written to count each combination of factor levels: Results: The code round was run to specify number of decimal places: Results: 1.4 Modelling A Linear Model was written to generate a better data visualization and analysis of variance:   Ã‚   Some graphs were generated to have a better understanding about how many tourists visiting each of the states: A Bar plot was generated for better visualisation: The same parameters were used to generate pie charts: Parana with 33,01% and Santa Catarina with 29,48% have a very similar number of visitors and Rio Grande do Sul is the most visited place with 37,51%. With a little bit of research the percentage can be understood, as Rio Grande do Sul is the larger of the three states, having more options for the visitors and Some of the biggest manufacturing industries factories in the country are located in that area. After visualizing where the tourists go it is important to know where they come from. For that reason, some graphs were also generated: Graphic: The same parameters were used to generate some other graphics: After analysing isolated information, a graph relating year and states was generated: It was also generated a graphic listing all countries that visited the South of Brazil in the period: A flowchart was designed to represent the algorithm workflow process: Preparing data for a plot: 1.5 Evaluation Compiling the dataset into graphics and tables facilitated data visualization and brought some very important evidence that can be used for many purposes, specially marketing reasons, on defining an action plan based on what can be done to bring more tourists to the south region. The graphs showing the percentages of tourists, were the ones that caught the attention, Europe had the larger number of visitors with 37,7%, followed by South America with 22%, Asia with 11,7%, Africa with 9,2%, Central America and Caribbean with 8,8%, North America with 5,5% and at last Oceania with 5,1%. Looking at these proportions a few questions were raised and research was necessary. Some important facts showed up: the dataset brings only the number of people travelling for leisure purposes, it does not count the amount of people on business, with could impact on the numbers, especially from North America, as many of them visit the country for business purposes and extend their stay on holidays. Another very important factor is that the information was collected in the first stop in the country, and all the three states in the South do not have a large airport, usually they arrive by connection flights coming from Sà £o Paulo or Rio de Janeiro, where the main international airports are situated. The last very important element that could impact on the number of visitors, is the fact that the south of Brazil does not have a tight control of their borders and many people arrive by land, usually driving from other countries in South America. As said before the tourism sector can be very explored and it can impact in the revenue generation. According to the International Congress Convention Association (ICCA) Brazil is the host of many international events in Latin America and the seventh in the world, so why not leverage on the information brought and attract all those events to the South of Brazil? The numbers in the dataset look a bit too similar for every year related to the count of people visiting the states, but anyway it provides very useful information. It is also very important to observe that Brazil is also accessed by boat and land, specially by tourists coming from Central and South America, as there is no border control some of the numbers might be slightly different. The project scope is limited to identifying patterns in the data rather than predicting future which could be examined as part of further study of the subject matter. 2.1 Business Understanding Every time a famous person passes away the media makes news; some deaths even take the elements of scandals, especially when there is the suspect of a suicide, people follow the reports all over the world. The year of 2016 seemed to be very sad for the famous people, with an unusual number of deaths observed. An article from the 22nd of April, 2016 on BBC News website reported that by April the number of celebrities deaths was double as the previous years, and even said: the number of significant deaths this year has been phenomenal. But comparing to the years before, is it true? Based on a dataset available on kaggle.com, that compiled information available on wikipedia.org, some questions were asked: Did more celebrities die in 2016 than in the last 5 years? Was suicide the most cause of deaths? What were the reasons for the deaths in 2016? Were the reasons different from the 5 years before? What would be the main causes of death for each age group? 2.2 Data Understanding Source data: https://www.kaggle.com/hugodarwood/celebrity-deaths Format: csv, comma-separated Size: 1.47 MB Number of rows: 14.880 Columns: 1 age 2 birth_year 3 cause_of_death 4 death_month 5 death_year 6 famous_for 7 name 8 nationality The technologies used were Excel and Python 3.6 2.3 Data Preparation The original downloaded version had 21.562 rows, with a quick look through the data, a few abnormalities were shown, a number of duplicated cells and rows was observed, also some birth_year did not correspond to real birth year, there were also some animals among humans (specially racehorses and dogs). Excel was used to exclude the duplicated data, to clear some odd information and to exclude the deaths from 2006 to 2010, as the project idea was analyse only the past five years. The first step was reading the table through pandas: Looking at the classes and missing values: As it is clear there are many missing values of cause of death. Looking at the most common causes of death: * It seems like many celebrities tend to die from cancer and heart failure. 2.4 Modelling A bar plot was generated for better visualization: The article from BBC was not entirely wrong, in 2016 more famous people died, compared to the 5 previous years. Looking for the answer for the second question, a bar plot about the suicide rates was generated, was suicide the main cause of deaths? It cannot be said that suicide was the main reason for the deaths. As seen on the previous graphic there is a percentage of celebrities that commit suicide, but comparing 2016 to the five previous years and comparing with natural deaths, a new bar plot was created: Compared to the previous years, 2016 did not seem as bad as the papers and social media claim, as the suicidal rate was only higher than 2014, in this way it cannot be affirmed that the main cause of celebrities deaths in 2016 was self-murder. Just for information a graphic was created to illustrate which is the month when more famous people tend to take their lives: As the bar plot displays September is the month showing a highest level of suicide, while June appears as the lowest. The figures generated from the data set brought a few information so far, proving that 2016 was a sad year for famous people, it also showed that suicide was not the main cause of death. To find out what the main reasons were a bar plot was created: Appears that cancer killed more famous people, at least in the year of 2016. Still comparing 2016 to the five years before an average number of deaths by cause was called, to investigate: The comparison shows that compared to the five years before more famous people died due to more Cancer and Traffic collision, all the other reasons seem to follow the same pattern. Just out of curiosity and to have a better understanding from the facts, the dataset was categorized into age groups: Some pie charts were created to illustrate the cause of death by age group: It is very important to bring to attention that in the child group there were only five rows and that is why the percentages are very high. It is very challenging trying to analyse the deaths related to the age group as there were many missing data specially when it comes to cause of death. As a matter of fact, as common sense, the older people get the age-related diseases appear more in the graphics. A flowchart was designed to represent the algorithm workflow process: In cause_of_death column = suicide 2.5 Evaluation Compiling the dataset into graphics and tables facilitated data visualization and brought some very important information about the celebrity death from 2011 to 2016. The missing values made the difference when trying to get deep information, especially when it comes to cause of death. It was pretty obvious from the data that 2011 the number of dead famous per year increased slightly, however not all the celebrities in the list would actually be considered as such by many people. It was cleared that the suicidal rates are not as high as the media claims and it is not the main cause of death and The increase in the number of news about famous peoples death can also be happening because more people have access to the internet, social media and seem to talk more about it. It is important to remember that the project scope was limited to identifying patterns in the data rather than predicting future. I could not say it was an easy task choosing and analysing two datasets. As I am not a student with any IT background some of my ideas as an outsider were completely mistaken, as I did not know how difficult it can be to write codes and get information from the datasets. It took me a while to understand the basics of how the Python an R work, and I consider I have done a good work. I can tell that I went through an incredible learning journey since I started the Data Analytics course at National College and I have learned a huge volume of new skills. To get the present project done I watched uncountable number of videos, I tried many different environments until I felt comfortable to start the project itself, it also took me a while to find the right dataset and the right questions, but after seeing the graphics and tables I realised I could really get through and do a good project. As our course dedicated more time to Python and have always reading about R as a very difficult data analytics tool I confess I was terrified about it, that is why I decided to start the R Project first, but I had a very good surprise, the program is easier to use than I thought, even with my very little knowledge. Working with a dataset that I am familiar with made it simpler as well, I have always worked in marketing environments and had the curiosity to know more about tourism in the South of Brazil, where I was raised. I consider I found out important information, that maybe could be very valuable for companies investing in services and tourism. For the Python project, I decided to work with the celebrity-deaths dataset just out of curiosity, as almost every single day during the year of 2016 I saw on twitter the #celebritydeaths2016. But after analysing the dataset I found out that there is only a slightly evidence that more famous people died during the year of 2016 it cannot be said that it was the worse year or predict anything for the future. I have also found out that suicide is not the main reason for their deaths as the social media reports. The idea of both projects was to identify and extract patterns in the data, which I believe has happened. References Big Data: 20 Mind-Boggling Facts Everyone Must Read. Available at: http://www.forbes.com/sites/bernardmarr/2015/09/30/big-data-20-mind-boggling-facts-everyone-must-read/#56eaf8456c1d. [Accessed: 10 December 2016]. Business Dictionary. Available at: http://www.businessdictionary.com. [Accessed: 09 December 2016]. Estatà ­sticas e Indicadores. Available at: http://www.dadosefatos.turismo.gov.br/dadosefatos/home.html   [Accessed: 09 December 2016]. Lantz B., 2013, Machine Learning with R, Packt Publishing IBM, 2011, IBM SPSS Modeler CRISP-DM Guide, IBM Corporation. Available at: http://www-staff.it.uts.edu.au/~paulk/teaching/dmkdd/ass2/readings/methodology/CRISPWP-0800.pdf [Accessed: 11 December 2016]. Ministà ©rio do Turismo. Available at: http://www.turismo.gov.br/ [Accessed: 19 December 2016]. Skill: Data Analysis. Available at: https://15-5103.ca.uts.edu.au/skills/data-analysis/ [Accessed: 09 December 2016]. Why so many celebrities have died in 2016? Available at: http://www.bbc.com/news/entertainment-arts-36108133 [Accessed: 26 December 2016]. Source data: http://www.dadosefatos.turismo.gov.br/estat%C3%ADsticas-e-indicadores.html Source data: https://www.kaggle.com/hugodarwood/celebrity-deaths

Literary features of Things Fall Apart by Chinua Achebe Chapter 11 Essa

Literary features of Things Fall Apart by Chinua Achebe Chapter 11 Pg 70 Achebe throughout the novel uses many different literary features Literary features of ‘Things Fall Apart’ by Chinua Achebe Chapter 11 Achebe throughout the novel uses many different literary features to bring emphasis to certain points and equally to create a plausible picture of what tribal life was like. His particular style of writing, using specific detail of everyday things, brings the characters to life; it creates a depth and complexity to the characters that makes the tribe into a realistic civilization. This technique is used primarily to challenge the preconceptions the people of the Western world have about tribal life. Details such as the ‘shrill cry of the insects’ and how the snuff Okonkwo brought had gone damp and how it was so dark there was not enough light to eat by. The chapter opens with a description of the night, we have been told in a previous chapter that the tribes people found the dark without moonlight frightening, this information helps the reader to identify w...