The statistical approach makes the work easier by collaborating the data and organizing it in a way that can be understood by everyone. Biostatistics has two different branches which are descriptional and inferential. The statistical approach is carried out in various steps like collection of data, the appropriate presentation of data, interpretation, and data analysis, and finally decision making or result analysis.
There are various purposes for the use of biostatistics that include the following:
Summarizing the given data in a readable and understandable form.
Understanding the deviations of data and organizing it in a result-oriented form.
Comparing the data descriptively.
Testing a proposed correlation in a calculative way.
Checking and sampling the data hypothetically.
The data given for an experiment or sample or survey can be represented in various forms as graphs that include the bar graphs, line graph, histogram, scatter plot, and many. The data can be discrete or continuous. The basic statistical approach includes measuring the central tendency that includes the calculation of mean, median, mode, range of the data, standard deviation, and the standard error. There are two types of statistical approaches which are the parametric and the non-parametric approaches. The parametric approaches of the comparative studies and tests like T-test, Z-test, and ANOVA (Analysis of variance), and relation-based studies like correlation and regression. The non-parametric approach includes chi-square analysis and a few other tests.
The measures of central tendency:
Mean: This measure gives the sum and the average of all the numbers that are divided by the count of observations. Calculating this measure is very important to know the average of the observations or data. To calculate the mean, the data need not be organized in a particular way or form. The raw data can be utilized for the calculations.
Median: The median gives the mid-number when the data is arranged in an ascending or descending way. The median cannot be calculated unless all the observations are arranged according to their magnitude.
Mode: The mode is the frequent number in the data. The mode can be calculated without arranging the data following the magnitude.
Range: The range gives the balance from the largest number to that of the smallest.
Standard deviation: The standard deviation gives the measure of variation or the dispersion for the given data. A lower value of this measure indicates that it is close to the mean or the expected value, whereas a high value of this measure infers that the values have deviated wider to the expected value.
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