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In effect the new drug which comes in the form of a pill is believed to be as powerful as a cocktail of several multiple medications.
The new drug that has been developed is as efficient as the standard multi-drug regimen. The null and the alternative hypothesis for difference in the efficiency of the new drug as a standard multi-drug regime may be simplified as below:
When conducting statistical studies, variables have to be analyzed. In the case of measuring drug efficiency, the researcher may consider the frequency of administering the drugs, and the dosage as independent variables while the dependent variable may be the intensity of the symptoms of AIDS on the patients. The efficiency of a drug maybe defined as the ability of the drug to give particular results without due regard to dosage (Pokrovskii and Kompaniets, 2008). Thus, the:
AIDS is a disease that attacks people irrespective of their gender, race, age, and socio-economic backgrounds. While this is the case, it must be considered the ethical and legal implications of using certain elements of the population such as children for certain tests. In order to have a representative sample that will properly and adequately represent the effectiveness of the drug, probability sampling will be employed. In the probability sampling strategy, simple random sampling will be done in which the sample will consist of people who are infected with AIDS. All elements of the samples will be of legal age according to the country’s laws and will be engaged in the tests out of free will. The subjects will be selected by screening them for other diseases; those with composite diseases will be disqualified and only those with AIDS will be considered.
In order to establish the true efficacy of the new drug, the test will have to be devoid of experimenter and selection bias (Cortes, Mehryar, Riley and Rostamizadeh (nd). Selection bias in this case is an error
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“Inferential Statistics Essay Example | Topics and Well Written Essays - 750 Words”, n.d. https://studentshare.org/miscellaneous/1567380-inferential-statistics.
This will be done using national AIDs databases and hospital databases. Once 1000-1500 patients are randomly selected from among the nation, we will offer them participation in the study. All drugs will be freely provided and there will be additional financial incentive.
V= Vmax [S]/ Km + [S] (Sprott, 2001) Where; V represents the speed/time of the enzymatic reaction while Vmax represents the velocity of the saturation of the enzyme with the substrate. [S] represents the substrate concentration and Km is referred to as the Michealis constant. He above equation has calculated error term denoted as e1.
The information acquired and learned at home, school, offices and other establishments exist in various types - texts, graphical, sounds or in multi media format. These information frequently influence people as they make decisions. Which cellphone to use Which drug to take Which school to go to Which procedures to follow against infectious disease These are few of the examples of questions that are usually treated by statistics for the purpose of analysis, sound interpretation, dissemination and appropriate interventions.
The article talks about why inner-city Catholic schools are so successful when inner-city public schools are struggling.
The author sprinkles statistics throughout the news piece. To set up the section on why Catholic schools are not the answer to struggling
Most HIV patients have a CD4 count below that of a HIV- negative persona which is typically between 600 to 1,300 CD4 per cubic millimeter of blood. For HIV/AIDS Patients’ medication to be effective, the patients are given a
Current data based on the report shows that HIV related deaths have over the past decade decreased by about forty percent. Fifty percent of these deaths among black people in the United States occurred in the New York City. The report further indicates that an average of
The hypothesis of the study was that the review of workers file and compensation had a significant impact on the decision outcomes of their cases. The null hypothesis would state that there was no such relationship among the two variables.
The independent variable was
This essay seeks to examine the differences that exist between the two statistics methodologies: descriptive and inferential statistics.
As a point of departure, the descriptive methodology entails specific functions of
There is no general formula for calculating degrees of freedom since they vary in every inferential problem. Thus, in inferential statistics, there are specific formulas for each distribution; depending on the setting or procedures used (Abelson, 1995).
General Linear Model
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