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This paper explores the various areas of basic statistics including: descriptive statistics, correlations, t-tests for independent samples, t-test of dependent samples and data mining used during the research process. In this 2 pages summary of those listed methods, I will identify the keys aspects of its usage, importance in the research process, provide examples of its usage and value and how it will be used my future research projects throughout this coursework.

Meaning Use of Statistics

Understanding the use of statistics requires one to understand the experimental design or how the research is conducted. Knowledge about the methodology allows use to input and interpret the results of the values. Statistics values are not just random numbers but values that have been generated out of research. Basic statistic values are tools utilized to assist with answering the questions of what, why, and how. Understanding the reasoning for using statistics will better help one’s understanding of basic statistics.

Descriptive statistics is a quantitative description of data collection sometimes referred to as inferential statistics. Descriptive statistics are used to summarize the sample and measures of values as they form the basis of quantitative analysis of data (Criswell, 2009). Utilizing descriptive statistics draws conclusions by extending beyond the data known. It utilizes judgments of the probability that are observed between groups and reduces that data into a summary (Criswell, 2009). An example of this would be a hitters’ batting average. This single average value is simply the number of hits divided by total at bats forming an average that is easily understood as an average of how frequently a hit is attained by the batter over the course of a game or season. This value reflects performance as a single...

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