Descriptive, Inferential, and Predictive Statistics

After reviewing the three figures given to us, I have come to the conclusion that Figure 1 uses Descriptive Statistics, Figure 2 uses Predictive Statistics and Figure 3 uses Inferential Statistics. Below, I have given my justification on how I came to these conclusions.


Figure 1 (above) is using descriptive statistics. According to Wikipedia, “Descriptive statistics are statistics that quantitatively describe or summarise features of a collection of information.” Above we see multiple graphs showcasing a collection of different information. Descriptive statistics present data in the form of pie charts, bar graphs, histograms, and line charts like the ones shown above.


Figure 2 (above) is using predictive statistics. According to the PowerPoint, predictive statistics is “the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends.” This line chart is showing the scores of projects done in the past, as well as the possible outcomes for a future project.


Figure 3 (above) uses inferential statistics to represent the data. Inferential statistics refers to the statistics that draw conclusions, or make decisions, off of a data set. In the above visualization, the data collected is rough estimation. Inferential statistics makes predictions, and is not qualitative like descriptive statistics.



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