ChatGPT and generative AI have captured the attention of individuals and organizations alike. This blog explores the use of AI in data analytics to process, analyze, and derive insights.
An outlier is a piece of data that is an abnormal distance from other points. In other words, it’s data that liesoutside the other valuesin the set. If you had Pinocchio in a class of children, the length of his nose compared to the other children would be an outlier. In this set...
Fast decision-making- Summing up data is easy and fast with graphics, which let you quickly see that a column or touchpoint is higher than others without looking through several pages of statistics in Google Sheets or Excel… or even a database or a CRM or CMS system. More stakeholders are...
Most of the time in statistics, you’ll want to find thesample variance, not the population variance. Why? Because statistics is usually all about making inferences fromsamples, notpopulations. If you had all of the data from a population, there would be no need for statistics at all!
Describe three examples of data sets that have inherent zeros and three that do not. Data Sets in Math: A data set is a collection of data that represents the values corresponding to a certain group or type. For example, the set of all natural num...
Statistics and Data with R: An Applied Approach Through Examples. London: Wiley, 2008.Cohen Y, Cohen JY. Statistics and Data with R: An Applied Approach Through Examples London: Wiley, 2008Cohen Y. and Cohen J. Statistics and Data with R : An Applied Approach Through Examples . Wiley, ...
There are manydifferences between qualitative and quantitative data—each represents very different data sets and are used in different situations. Often, too, they’re used together to provide more comprehensive insights. As we’ve described,quantitative data relates to numbers; it can be definitively...
The US Bureau of Labor Statistics predicts the number of data scientist roles to grow 36% between 2023 and 2033, a clear testament to the growing significance of this field. But what exactly is data science, and why is it so important? This article will walk you through the world of ...
Statistics has the power of summarizing large data sets. Some statistical tools provide a researcher with the ability of describing a whole data set by using one single value. The mean is a good example of such tools. However, as good as these features can be, there is an anomaly in sta...
Big data— the process of looking for patterns in data sets so large they resist traditional methods of analysis — rates big buzz in the boardroom [source: Arthur]. But is bigger always better? It's a rule that's drummed into most researchers in their first stats class: When encounterin...