continuous
Graphs visualize data allowing the brain to interpret a large data set quickly and infer trends.
The organization and presentation of data in statistics is a crucial stage. This is the only way that the data may be interpreted the right way and pass the intended message.
"Statistics is the study of the collection, organization, analysis, and interpretation of data." (Wikipedia)
The division of statistics are generally divided into two groups: inferential and descriptive. Inferential statistics require that a conclusion is drawn from data, based almost solely on human inference. Descriptive statistics are numbers that describe a set of data.
Discrete means tangible units (In statistics it is individual units in a data). Continuous is a linear/series in ascending/descending form/order of individual units. (In statistics it is the continuous series of unit data)
No, it is not. You cannot have 2.97 children!
we prefer normal distribution over other distribution in statistics because most of the data around us is continuous. So, for continuous data normal distribution is used.
You can calculate the mean, median, and std dev for discrete or continuous data. Each type has its own set of formulas.
Non-continuous data is called discrete data.
Non-continuous data is called discrete data.
analog data are continuous and take continuous values
The weight of the motorcycles is discrete and not the continuous data.
ways of presenting data in statistics
In statistics, cases are comprised of the data that is being studies. The cases in statistics can be updated frequently as the data changes.
Quantitative data.
Descriptive statistics is a summary of data. Inferential statistics try to reach conclusion that extend beyond the immediate data alone.