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How descriptive and inferential statistics are used in pharmaceutical research?
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Can you employ inferential statistics in descriptive research?
Yes.
What are the statistical tools use in research?
Sas, spss
Does quantitative research involves descriptive statistics?
I have worked in Quant Research for over three years and yes it gives descriptive statistics. The best part is that we obtain all of the information and it can be sorted, graphed, highlighted, mapped, or as descriptive any way you want.
What statistical procedures that organize and summarize research data are called?
descriptive statistics
What is the importance of statistics in research?
Ø Statistics is the science of collection, analysis, interpretation or explanation, and presentation of data. It has wide usage in the field of research. In fact all the data collection and interpretation techniques used in Research are part of statistics. Ø It makes use of descriptive statistics for collection of data and inferential statistics for drawing inferences from this set of data. Ø The subject called research statistics & statistics is very important in research because that is the backbone of your research. Ø The Numbers gives an easy idea of how you conducted your research. Ø Statistics provides a platform for research as to; How to go about your research, either to consider a sample or the whole population, the Techniques to use in data collection and observation, how to go about the data description (using measure of central tendency). Ø To wrap it up, statistics as a science of data collection, analysis, interpretation, explanation and presentation will guide you in research for proper characterization, summarization, presentation and interpretation of your research result for proper action.
What are the major steps in social research?
By the time you get to the analysis of your data, most of the really difficult work has been done. It's much more difficult to: define the research problem; develop and implement a sampling plan; conceptualize, operationalize and test your measures; and develop a design structure. If you have done this work well, the analysis of the data is usually a fairly straightforward affair.In most social research the data analysis involves three major steps, done in roughly this order:Cleaning and organizing the data for analysis (Data Preparation)Describing the data (Descriptive Statistics)Testing Hypotheses and Models (Inferential Statistics)Data Preparation involves checking or logging the data in; checking the data for accuracy; entering the data into the computer; transforming the data; and developing and documenting a database structure that integrates the various measures.Descriptive Statistics are used to describe the basic features of the data in a study. They provide simple summaries about the sample and the measures. Together with simple graphics analysis, they form the basis of virtually every quantitative analysis of data. With descriptive statistics you are simply describing what is, what the data shows.Inferential Statistics investigate questions, models and hypotheses. In many cases, the conclusions from inferential statistics extend beyond the immediate data alone. For instance, we use inferential statistics to try to infer from the sample data what the population thinks. Or, we use inferential statistics to make judgments of the probability that an observed difference between groups is a dependable one or one that might have happened by chance in this study. Thus, we use inferential statistics to make inferences from our data to more general conditions; we use descriptive statistics simply to describe what's going on in our data.In most research studies, the analysis section follows these three phases of analysis. Descriptions of how the data were prepared tend to be brief and to focus on only the more unique aspects to your study, such as specific data transformations that are performed. The descriptive statistics that you actually look at can be voluminous. In most write-ups, these are carefully selected and organized into summary tables and graphs that only show the most relevant or important information. Usually, the researcher links each of the inferential analyses to specific research questions or hypotheses that were raised in the introduction, or notes any models that were tested that emerged as part of the analysis. In most analysis write-ups it's especially critical to not "miss the forest for the trees." If you present too much detail, the reader may not be able to follow the central line of the results. Often extensive analysis details are appropriately relegated to appendices, reserving only the most critical analysis summaries for the body of the report itself.
What is descriptive-correlational method of research?
Descriptive research is also called Statistical Research. The main goal of this type of research is to describe the data and characteristics about what is being studied. The idea behind this type of research is to study frequencies, averages, and other statistical calculations. Although this research is highly accurate, it does not gather the causes behind a situation. Descriptive research is mainly done when a researcher wants to gain a better understanding of a topic for example, a frozen ready meals company learns that there is a growing demand for fresh ready meals but doesnt know much about the area of fresh food and so has to carry out research in order to gain a better understanding. It is quantitative and uses surveys and panels and also the use of probability sampling. Descriptive research is the exploration of the existing certain phenomena. The details of the facts wont be known. The existing phenomenas facts are not known to the persons.
What has the author Annpey Pong written?
Annpey Pong has written: 'Handbook of adaptive designs in pharmaceutical and clinical development' -- subject(s): Research Design, Clinical trials, Drugs, Handbooks, manuals, Clinical Trials as Topic, Statistics as Topic, Methodology, Research, Methods 'Handbook of adaptive designs in pharmaceutical and clinical development' -- subject(s): Research Design, Clinical trials, Drugs, Handbooks, manuals, Clinical Trials as Topic, Statistics as Topic, Methodology, Research, Methods 'Handbook of adaptive designs in pharmaceutical and clinical development' -- subject(s): Research Design, Clinical trials, Drugs, Handbooks, manuals, Clinical Trials as Topic, Statistics as Topic, Methodology, Research, Methods
What are the disadvantages of inferential statistics?
The disadvantage is that this statistics provide you with a data about a population that has not been fully measured, and therefore, cannot ever be completely sure that the values/statistics that have been calculated are correct.
What tools are used in descriptive research?
The tools used in descriptive research are pictures. Captions and headlines in newspapers are also a good source for descriptive research.
Parts of descriptive research?
Descriptive research is used to describe characteristics of the subjects being studied. Descriptive research is used for frequencies, averages and other statistical data collected during research.
Descriptive research example?
There are many examples of descriptive research. One way to easily show an example of descriptive research is to show how the periodic table categorizes the elements.
