Friday, October 18, 2019
Inferential Statistics Essay Example | Topics and Well Written Essays - 750 words
Inferential Statistics - Essay Example 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 countryââ¬â¢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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