Statistics play an important role in research of almost any kind because they deal with easily-quantified data. When working in fields such as science or medicine, trials are needed, and experimental data has to be collected and analyzed. The study of statistics enables researchers to look at a large set of data and condense it into meaningful information.
Continue ReadingKey aspects of statistics include finding averages/means, determining outliers on either end of a bell curve, and finding the range of quantities for set points. Also, statisticians make use of representative samples with proportionate demographics to determine factors that could affect a whole population. For example, a researcher might look for the average percentage of people who buy a particular medication, then compare it to people who reported side effects after taking that medication. This would be used to determine the likelihood of suffering harmful side effects.
In addition to collecting and analyzing data, researchers use their skills in statistics and/or public speaking to present data in such a way as to elicit a specific response from the intended audience. The use of different types of charts or graphs makes the presentation of information more palatable and understandable for laypeople and professionals alike.
Learn more about StatisticsParametric statistics makes it easier to analyze and describe data with central tendencies and data transformations, according to University of Leicester. The use of parametric statistics versus nonparametric statistics depends on the type of data.
Full Answer >The purpose of statistics is to allow sets of data to be compared so that analysts can look for meaningful trends and changes. Analysts review the data so that they can reach conclusions regarding its meaning. Statistics allow people to see how things are or are not correlated and how a change in one variable might affect another.
Full Answer >Descriptive statistics are statistics that describe the central tendency of the data, such as mean, median and mode averages. Variance in data, also known as a dispersion of the set of values, is another example of a descriptive statistics. Greater variance occurs when scores are more spread out from the mean. Descriptive statistics summarize data.
Full Answer >Statistics are a methodology necessary in the field of statistics and are used to collect, analyze and evaluate data. Economics depends heavily on the use of statistics.
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