Summary of Statistical Research Methods used in Biostatistics

Running head: SUMMARY OF STATISTICAL RESEARCH METHODS USED IN BIOSTATISTICS 1
Summary of Statistical Research Methods used in Biostatistics
Student’s Name
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SUMMARY OF STATISTICAL RESEARCH METHODS USED IN BIOSTATISTICS
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Summary of Statistical Research Methods used in Biostatistics
Lesson 5 Summary
Biostatics concerns the statistical tools used for the collection of data, analyzing the data, result
in analysis and result discussion. However, the whole process in the statistical analysis involves
survey design used for gathering the information, the experiments carried out and the data
analysis. Various statistical designs are applied for data analysis (Bernard, 2017).Descriptive
statistics involves the use of dataset populations that describes the observations that are made
from the study by use of the graphs and charts examples on this include, mean (X), standard
deviations (SD). While inferential statistics makes use of the variable samples data drawing the
population of inferences from random sampling (Brannen, 2017). The technique involves the use
of the questionnaires, in collecting data and approximating the numerical figures obtained from
the study. The use of the summation symbols involves various operations such as addition that
defines the kind of expression and the values of the data in a sequential manner. However, some
situations require the use of more than one summation symbol it’s called double summation.
TECHNIQUES USED IN MEASURING SCALES
Different populations take varying values through the generation of random results. The data
collected is followed by various procedures for the purpose of making the observations and

SUMMARY OF STATISTICAL RESEARCH METHODS USED IN BIOSTATISTICS
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analysis of the given data (Nardy, 2018). Arguably, quantitative information can be conformed
into various variables that result in the graph drawing from the tables. The frequency distribution
graphs and charts provide an overview summary of the expected information for the statically
analysis (Cresswel & Cresswell, 2017) the histograms and polygons provided an easy way of
determining the probability of the distribution of the data. The Measure of central tendency-
Statistical measures include, mean(X), the median, mode, variance and standard deviation. The
mean is obtained for the average sample population divided by the total number of the affected
variables. The median is obtained as the less affected variable in statistics and the mode the most
occurring variable from the given data (Motulsky, 2014).
Summary Lesson 6
BASIC STEPS IN RESEARCH PLANNING
Individuals who have no previous experience in research, the task of quantitative study seems to
be overwhelming and challenging. Therefore, such problems will be dealt with here.
The first hurdle to overcome is the definition of the problem because the research problem must
be stated clearly and simple (Pagano & Gauvreau, 2018).Population- A well-built advice is based
on the terms of the primary sources in the investigating of varying characteristics that the study
considers its outcome in the research. Most importantly is first to make the plan of the individual
patients that may include various tests and medications used for the intervention? Comparison-
Various comparisons are made in determines the alternatives to consider when choosing the
variables for the study (Gelfand et al., 2010). However, the comparison should be specific and
have the limitations for offering the alternatives. Outcome- the outcomes from the final aspects