Last but not least, visualizing the data in the form of graphs, maps, reports, charts, and dashboards can help you explain your findings to decision-makers and stakeholders. While it's not absolutely necessary, it will help tell the story of your data in a way that everyone in the busi...
In addition to visual aids, it is vital to include context and interpretation in reports and presentations. Simply presenting numbers and graphs is insufficient; the data must be accompanied by explanations, analysis, and recommendations. Providing context helps to explain the significance of the findi...
Central tendency, as suggested by the name, refers to the tendency or the behavior of values around themeanof the dataset. Variability, on the other hand, refers to the scatter or the spread of values in the set. These two components give you a fair estimate of what your data means. Th...
Measures of Central Tendency In mathematics and statistics, we explain the measures of central tendency as a single value that approximates the central value in a data set. For example, the mode, median, and mean are measures of central tendency. ...
For this math question, you’re not expected to solve for the mean but must instead use what you know about two means to explain what the mean of the larger group could be. Specifically, we're being askedhow we can use these two means to express, in algebraic terms, the mean age (...
15 Common Rating Scales Explained Measuring Usability with the System Usability Scale (SUS) Measuring Usability: From the SUS to the UMUX-Lite 5 Types of Qualitative Methods 10 Things To Know About The Single Ease Question (SEQ) 5 Ways to Interpret a SUS Score ...
Technical Debt Is Like Tetris- Another way to explain technical debt: “Scenarios like these create technical debt within the product code. A buried gap in Tetris represents technical debt. (…) Paying down technical debt keeps you competitive. It keeps you in the game.” ...
To explain why we contend that PCE does not measure the proportion of the total treatment effect attributed to contextual effects, an understanding of the estimation of the treatment effects is warranted. Treatment effects are most often statistically modeled on an additive scale [58, 59]. This ...
The concept of post-truth politics has been often used to explain the emergence of the fake news controversy (Davies, 2016, 2019; Tillmans, 2018; Kakutani, 2018). Most of the sources in this large body of literature belong to (Western) mainstream media. However, the topic has also been ...
The research on carry trades thus highlights the complexity of currency markets and suggests different factors drive currency moves depending on the economic conditions. Together, the data challenges the notion that carry trades consistently explain deviations from interest rate parity, particularly during ...