INFERENTIAL STATISTICS

Inferential Statistics

Inferential Statistics

Introduction

In this research experiment, we are dealing with a new drug that can help to increase the number of t-cell counts. (Laan 1998)This new powerful, drug can retard the progress of AIDS in patients. In the old drug, same level of efficiency could be achieved with a powerful "cocktail" of multiple medications. Now we are interested to test this new drug and to find, how effective the new drug is.

Research method:

A total of 20 people were selected for this experiment these patients were included in the data set. To measure the effectiveness of the new drug in retarding the disease process, number of t-cell counts was used as a primary source for the drug effectiveness. We observed all the patients over a period of two months and then we checked the number t-cell counts. (Newey 1990)

Sampling Method:

We used cluster sampling for this study. In this research method the whole population is devided into groups and then we then did a random sample from these groups.

Reliability and Validity

The term bias is a historically unfriendly pejorative frequently directed at quantitative research. The absence of bias can improve the research outcome and provide us with a more reliable and validate result. Most vulnerable to charges of bias are quantitative research inquiries with a low saturation point, limited interrater reliability, and unclear data triangulation. In this study, I attempt to control external variables that may bias data.

Ethical Considerations

like many other researchers, a quantitative researcher can not avoid is the use of knowledge that has been generated during inquiry. To meet this fundamental ethical principal, the research process should be transparent to the participants. Moreover, I attend to a wider range of questions regarding intent and purpose than simply those of validity and reliability.

Independent and dependent Variables

The term dependent and independent variables are commonly used in experimental studies, where it is necessary to manipulate several variables. In this way, the "independent variable” is defined a variable that does not depend on any other variable. Some variables are assumed to be "dependent" on the actions of the object of an experiment or experimental conditions. These variables may implicitly contain some information about the behavior or reaction of the object during the experiment. Independent variables - are variables whose values can be controlled, and dependent variables can only be measured or recorded. t-cell count is dependent variable in this experiment ...