Generally, ordinal values are assessed via closed-ended surveys questions that give participants multiple possible answers to choose from. In social sciences, this type of data is collected using theLikert scale, which is made up of 3 or more Likert-type questions. Examples of ordinal values incl...
When it comes todescriptive statistics examples, problems and solutions, we can give numerous of them to explain and support the general definition and types. Let’s first clarify the main purpose of descriptive data analysis. It’s to help you get a feel for the data, to tell us what hap...
Type of variableWhat does the data represent?Examples Binary variables (aka dichotomous variables) Yes or no outcomes. Heads/tails in a coin flip Win/lose in a football game Nominal variables Groups with no rank or order between them. Species names Colors Brands Ordinal variables Groups that...
You cannot work with the mean when you have nominal data (see our post aboutnominal vs ordinal data). Mode The mode of a set of data is the number in the set that occurs most often. Let’s see the next of our descriptive statistics examples, problems and solutions. Example 4: ...
In statistics, qualitative data is also called categorical data. Data that can be classified according to the attributes and properties of objects and phenomena. In other words, this type of data is categorical because it is difficult to count or measure numerically. ...
This topic is usually discussed in the context of academic teaching and less often in the “real world.” If you are brushing up on this concept for a statistics test, thank a psychologist researcher named Stanley Stevens for coming up with these terms. These four data measurement scales (...
doi:10.1016/j.injr.2014.02.002DataStatisticsNumericalCategoricalDichotomousAbstractThis first in the series on clinical research will focus on the basics of data 鈥 the types of data (with examples of a rheumatoid arthritis study) and how to numerically and graphically represent these. Knowing the...
A dataset is defined as a collection of data. To learn the definition of the dataset, its types, properties, mean, median and mode of the dataset with many solved examples in a detailed way.
Descriptive statistics play a pivotal role in succinctly summarizing data, uncovering patterns, and gaining dataset insights. However, they don’t delve into causation or prediction; they offer a snapshot of data attributes. Descriptive Statistics Formulas ...
Quantitative research is a scientific method of collecting numerical data to measure variables in the form of numbers or statistics. For example, a survey might conclude that 356 respondents out of a total of 500 (71.2%) were in favor of a new product feature. These numbers are concrete, and...