Treatment Of Diabetes During The Ramadan Fasting Time Essay

Treatment Of Diabetes During The Ramadan Fasting Time - Essay Example Current study examines the methods that can be used for the treatment of diabetes during the Ramadan fasting time. Regarding this issue several other themes – related with the specific subject - are going to be presented and evaluated. Under these terms, this paper is going to extensively refer to its main subject – as stated above – presenting at the same time the main aspects and the particular characteristics of a series of issues, which could be summarized to the following ones: a) What is diabetes and which are its main types? b) which are the most known – and the most developed – methods for the treatment of diabetes, c) is there any relationship between the development of diabetes and the nutrition habits of the population, d) the nutrition followed during fasting periods, especially the Ramadan, has been proved to have any impact on the progress of the treatment of diabetes and if yes, which are the main aspects of this impact? e) is the med ical staff prepared and trained appropriately in order to handle effectively the treatment of diabetes? A special reference to the competence of medical staff to adapt the diabetes’ treatment to the nutrition ‘ethics’ of the Ramadan fasting period is going to be made at this point, f) which are the prospects for the development of diabetes’ treatment during the Ramadan fasting period (reference to experiments made in the relevant field).

Alternative hypothesis or testable hypothesis Essay

Alternative hypothesis or testable hypothesis - Essay Example Testing of hypothesis involves the precautious formation of two assertions. These assertions are the alternative hypothesis and null hypothesis. The null hypothesis states that there are no observed effects for the experiment conducted. In a mathematical interpretation of this hypothesis, the researcher uses an equal sign to indicate no relationship. This hypothesis is signified by H0. It is the hypothesis that the researcher aims at changing by testing the alternative hypothesis1. On the other hand, the alternative hypothesis reflects that there can be an observed effect in a research experiment. It is also the experimental hypothesis. In this mathematical computation, there is the use of inequality symbol that indicates there is a relationship between the research variables2. Either, H1 or Ha signifies the hypothesis. Therefore, the alternative hypothesis is the hypothesis used in testing hypothesis that is contrary to the null hypothesis. It is usually perceived to be the observed effect after the research process.3 Alternative hypothesis H1 There is a significant relationship between people’s attitudes and the American democracy. H2 There is a significant relationship between democracy and the doctrine of the sovereignty of the people in American democracy. H3 There is a significant relationship between democracy and Despotism 3. H4 There is a significant relationship between democracy and individualism in America.... H2 There is a significant relationship between democracy and the doctrine of the sovereignty of people in American. H0 There is no significant relationship between democracy and Despotism5. H3 There is a significant relationship between democracy and Despotism Ho There is no significant relationship between democracy and individualism in America. H4 There is a significant relationship between democracy and individualism in America. It is important for the researcher to understand that the alternative hypothesis and null hypothesis in reference to the population values, and not perceived statistics. Data can be obtained through descriptive surveys by the use of questionnaires and interviews that will present people’s opinions and attitudes towards democracy.5The test will be conducted using the Z scores where, the researchers will use the z statistics or score to observed the mean obtained from the sample and the mean obtained from the entire population signified by the symbol ?06. The next step after the z statistics is determining the p value, and this is calculated through converting the test value to a conditional probability known as a P-value. This value answers the question whether the null hypotheses statement are true and the probability of observing obtained current dada or the observed data was more extreme7. A small P-value indicates that the null hypothesis was not true and a big P-value indicates that the null hypothesis is correct and that it should not be rejected. The use of significance level in this case indicates that the observed difference is not because of chance. The P-value of an alternative hypothesis is the possibility of obtaining a value of the analysis measurement as extreme than that experimental by chance, in case