Database Records and Relational Data Worksheet - 1004 Words

University of Phoenix Material Database Records and Relational Data Worksheet Complete Parts A and B of this worksheet. Cite your sources. Part A: Database Records l Answer the following patient information questions using the table provided. Refer to figure 4-10 on p. 83 of Health Information Technology and Management for assistance. 1. What patient resides in California? What is the patient number? The patient that resides in California Sofia Yakaria Pallares. Her patient number is 10259. Gartee, R. (2011). 2. Who is the provider of Sofia Yakaria Pallares? What credentials does her provider have? Ruth Ann Raymond is Sofia’s provider and Ruth Ann Raymond has her MD license. Gartee, R. (2011). 3. What†¦show more content†¦Be clear and concise, use complete sentences, and explain your answers using specific examples. Cite your sources. 1. What are the main components of a database? One of the main components of a database is characters. Characters are letters, numbers and punctuation marks. You are using characters when you are typing a sentence for example. Another main component would be fields. Fields separate data in defined fields. When data is being entered even if you don’t have an answer for all fields a space is still left but it would be blank. If you have ever seen an excel spreadsheet that would give you an idea of how data is lined out into different fields. Records are a main database component as well. Records are a group of fields that are about one thing. An example would be social security numbers in a database of patients. Each patient would have a social security number and each social security number is in a field. That field would have the same information which is that patients social security number even though every ones is different and there would be many listed depending on how many patients was in the database. Gartee, R. (2011). 2. Based on Part A of this assignment, explain how relational data is used? Relational data is when you can put data in a computer one time and it growsShow MoreRelatedTypes Of Database For Flat File Database939 Words   |  4 PagesTypes of Database 1. Flat File Database A flat file database is an excellent way of storing a pretty small amount of records. Flat file can be a plain text file. Flat file are generally not a structural relationships between the records. For example a spread sheet application such as Excel can be used as a flat file database. Each row in a worksheet can be a record and each column and a field. Flat file database can also be stored in a dedicated database application such as Access. Installing databaseRead MoreIt Upgrade Proposal999 Words   |  4 Pagesclearly has the capability of being a powerful database but with two key limitations. The Excel Databases Reporting (2013) relays that the first concern with Excel has to do with the networking access. 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ABSTRACT .In this paper, we analyze the design choices that allowed modern scalable data management systems to achieve orders of magnitude higher levels of scalability compared to traditional databases. The challenge of building consistent, available, and scalable data management systems capable of serving petabytes of data for millions of users has confronted the data management research community as well as large internet enterprises.Read MoreAnalyze Hr System – Final4540 Words   |  19 Pagesincremental system deployment. Project Planning The scope of Riordan Manufacturing’s new HR system will include maintaining employee personnel records from the current system and integrating the various human resource related Microsoft Excel worksheets managed by department managers and various other company personnel. 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The Treatment Of Women Has Changed Dramatically - 1194 Words

The treatment of women has changed dramatically. In the field of theology and biblical interpretation the treatment of women has done almost a 180. In the past years women were treated much differently within theology. In the 2000 Madeleva Lecture Sandra Schneiders said: Prior to 1943†¦Catholic women were not allowed to study theology. Today, not sixty years later, women are still excluded from ordained ministry in the Catholic Church but have equaled or outnumbered men students in graduate programs in theology. (Schneiders 34) This presence of women in theology is a dramatic change since women were not even allowed to study and now the women enrolled exceeds men. Furthermore: The recently established Distinguished Catholic Women Theologians Lectureship at Boston College is further recognition that women are no longer an exception or a curiosity but an important and distinctive voice in the professional theological conversation. (35) This lectureship at a well-known Jesuit institution recognizes the value of women in theology. Many women have also entered the field of feminism scholarship. To name a few, Elisabeth Schà ¼ssler Fiorenza, Catherine LaCugna, Elizabeth A. Johnson, and Rosemary Radford Ruether. These women have made major contributions to theology (35). In The Gospel of John we find the story of Jesus meeting a Samaritan woman at a well. Jesus asks for a drink of water and this begins a discussion between the two about the difference of the water in theShow MoreRelated Cultural and gender comparison of Russia and the US Essay777 Words   |  4 Pagesnbsp;nbsp;nbsp;nbsp;nbsp;Gender roles in Russia have dramatically changed since the fall of the former Soviet Union and the fall of communism. It is hard to look directly at the constitution of Russia seeing as though the drafting and redrafting of their constitution is still underway. However, looking at the constitution of the former Soviet Union, y ou can see it is clearly stated that: â€Å"Women and men have equal rights.† It is very clear that in the Soviet Union they were trying to make it so that women and men were equal. ItRead MoreSupreme Court Rulings : Three Beneficial Cases1541 Words   |  7 PagesSupreme Court Rulings: Three Beneficial Cases Injustice is a concept that can be defined as the violation of the rights of others, or the unfair action or treatment of an individual. Society in particular sees unjust actions all the time, and most people would even go as far as describing society as biased. 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Data Analysis Healthcare Concern

Question: Discuss about the Data Analysis for Healthcare Concern. Answer: Introduction Healthcare is a major concern across Singapore. Analysing the data for healthcare in Singapore is an important aspect enabling in understanding the quality of health status of the country. Number of admissions to hospitals across different years and the genders reveal about the health condition of the county over the years. In this assignment, the data for hospital admission rate by sex and age had been collected from the Ministry of Health, of Singapore (LaHuis et al. 2014). This data would be used for analysis and it would reveal the trend of admissions to the hospitals over the years. This would give an idea about the probable causes and suggestions would be provided for the improvement of the health sector. Analysis and interpretation On analysing the data of the given years across different age groups and gender, it was found that the average number of males admitted in public sector hospital for the age group 0-14 years was 75. The median value for this variable was 75. The standard deviation was 7.13 and its variance was 50.90. It was seen that the number of males admitted to the public sector hospital of this age group was increasing with the years. There were large variations among the rate of admission over the years for this variable. The average number of admissions of male of age group 15-64 years to the public sector hospitals was found to be 62 and its median was 62. The standard deviation of this variable was 1.676 while its variance was 2.809. This suggests that the number of admissions of males of this age group varied slightly across the years. The mean number of males of the age group 65 years and above was found to be 325. The median value was 328. The standard deviation was found to be 8.960 and its variance was 80.285. This suggests that there was a high variation among the number of admissions of males of this age group across the years. The number of males of this age group was found to be increasing with the change in years. It was seen that the average number of males admitted to the public sector was 87 and its median was 87. The standard deviation was 5.14 and its variance was 26.47. Thus, the number of males admitted to the public sector hospital had a moderate variation over the years. This variation was found to be less than the number of males admitted to the hospital for the age group 0-14 years and 65 years and above. Figure 1: Number of males admitted to the public sector hospitals across different age groups over the years 2008-2014 (Source: As created by author) The average number of females admitted to the public sector hospital was found to be 83, its median was 81, its standard deviation was 6.18 and its variance is 38.2381. There was a moderate variation among the number of females admitted over the years. The average number of females admitted to public sector hospitals for the age group 0-14 years was 62, the median was 63, the standard deviation was 5.859 and the variance was 34.33. The average number of females for the age group 15-64 years was 59 and median was 56. The standard deviation was 4.029 and its variance was 16.238 (Elvarsson et al. 2014). The average number of females for the age group 65 years and above was 282, median was 283, standard deviation was 6.74 and variance was 45.476. It was seen that the average number of females was highest for the age group 65 years and above and this age group had the maximum variation in the number of admissions over the years. Figure 2: number of females admitted to the public sector hospitals across different age groups over the years 2008-2014 (Source: As created by author) The average number of males admitted to the private sector hospital during the period 2008 to 2014 was found to be 15. The median was 15, standard deviation was 1.952 and its variance was 3.809. The average value of the males of age group 0-14 years admitted to the private sector hospital in this period was 37, median was 37, standard deviation was 3.891 and variance was 15.143 (Thongpanja et al. 2013). The average for the number of males of 15-64 years admitted to this hospital was 8, median was 7, standard deviation was 1.676 and variance was 2.809. The average number of males of age group 65 years and above admitted to this hospital was 31, median was 31, standard deviation was 0.9754 and variance was 0.952. This suggests that there was high variation among the males admitted to the private sector hospitals over the years. The age group of 0-14 years had the most variation for this variable. Figure 3: Number of males admitted to the private sector hospitals across different age groups over the years 2008-2014 (Source: As created by author) The average of the females admitted to the private sector hospitals was 27, median was 25, standard deviation was 3.162 and variance was 10. The average number of females of age group 0-14 years admitted to private hospital was 33, median was 33, standard deviation was 3.258 and variance was 10.619 (Jerom et al. 2015). The average number of females admitted to this hospital for age group 15-64 years was 24, median was 22, standard deviation was 3.690 and variance was 13.619. The average number of females of age group 65 years and above was 35, median was 35, standard deviation was 1.414 and variance was 2. Thus, it was seen that most of the variation in admission was found in the age group of 15-64 years and there was also moderate variation for the age group of 0-14 years and the number of females over the years 2008-2014. It was seen that there was an increase in the number of admissions to the hospitals over the years for different age groups. This could be because of increase in pollution and unhealthy lifestyles. With the advancement of years, there is modification of lifestyle and food habits. These may not be suitable for the Singaporeans and their body cannot adapt to this lifestyle, which has resulted in the increase in the number of admissions to the private and public hospitals across different age groups. This could be reduced by adapting a healthy lifestyle and maintaining proper balance of diet. Reduction in pollution and adulteration of food would also help people not to land in hospitals. Conclusion It was seen that there were different number of patients admitted to different hospitals for various age groups. There was difference in the number of admissions to the public and private hospitals across genders. An increasing trend in the number of admissions in the hospitals was seen for different age groups and across the genders. Increase in number of admissions to hostipals might be due to pollutions, adulteration of foods, change in life styles and other unhealthy factors. On eradicating, these factors would reduce the chance of disease and the health index of Singapore would increase eventually. People of Singapore could have a healthy and happy life. References Elvarsson, B.., Taylor, L., Trenkel, V.M., Kupca, V. and Stefansson, G., 2014. A bootstrap method for estimating bias and variance in statistical fisheries modelling frameworks using highly disparate datasets.African Journal of Marine Science,36(1), pp.99-110. Jerome, N.P., Orton, M.R., dArcy, J.A., Feiweier, T., Tunariu, N., Koh, D.M., Leach, M.O. and Collins, D.J., 2015. Use of the temporal median and trimmed mean mitigates effects of respiratory motion in multiple-acquisition abdominal diffusion imaging.Physics in medicine and biology,60(2), p.N9. LaHuis, D.M., Hartman, M.J., Hakoyama, S. and Clark, P.C., 2014. Explained variance measures for multilevel models.Organizational Research Methods,17(4), pp.433-451. Thongpanja, S., Phinyomark, A., Phukpattaranont, P. and Limsakul, C., 2013. Mean and median frequency of EMG signal to determine muscle force based on time-dependent power spectrum.Elektronika ir Elektrotechnika,19(3), pp.51-56.

Science and Math Is More Important free essay sample

Do you agree or disagree with the following statement? It is more important for students to study history and literature than it is for them to study science and mathematics. Use specific reasons and examples to support your opinion. (250-300 words) ESSAY History, literature, science and mathematics are all classic and very important subject in their own sense. No subject can be given more or less importance in life. However, in my opinion, studying science and mathematics are more important than studying history and literature. Firstly, science and mathematics are essential to most subjects. In other words, No matter which subject you want to learn, economics, finance or mechanics, you must have sufficient science and mathematics knowledge to understand it. For example, if person after studying science in secondary school, it is still possible to change lanes towards law at university, but if one only does the art subjects in school, one has no possibility of becoming an engineer later. We will write a custom essay sample on Science and Math Is More Important or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page My second reason is, studying science contributes abundantly to the human life. What I’m trying to say is, without science or mathematics, there won’t be any technology, which we will still be in our prehistoric days without it. Electricity is a typical example. How will we survive if the magical power vanished? Not only it’s used for lighting but to make most machines work. We need electricity like we need air to breathe.Although Shakespeare or Charles Dickens’s work are all very fascinating, but so are Newton’s laws of gravity and movement. And actually, without the creation of paper or pen, which is science, William Shakespeare wouldn’t exist. In conclusion, it is clear that the importance of science and mathematics have to be learnt is much more than studying history and literature. Science and mathematics should be the two most necessary and impotent subjects in our modern life.