There is three gummy bears.
Quantitative data deals with numbers. It is data that can be measured. An example of this is: 51% of the world's population is female.
For example statistical analysis of data, mathematics of spectral data processing, rational experiments design, VSEPR, LCAO, etc.
If there is no repeated numbers there is simply no mode. If there is two numbers that are the same, (example: 3,3) then that will be your mode. (Data: 3,3 Mode:3)
You add all the data numbers together and divide it by the amount of numbers.(example:10+11+11+13+15=60 60divide by 5=12. 12 is the answer
computer data is collection of the information computer store
Non-example of bivariate data in numbers is that with numbers that have no relationship between them.
There is three gummy bears.
Quantitative data deals with numbers. It is data that can be measured. An example of this is: 51% of the world's population is female.
categorical is a data with numbers for example a table graph ! for 1st place and 2nd place its categorical !
Ursus maritimus ("sea bear") is the scientific name for a polar bear.(Originally the polar bear was classified a separate genus from other species of bears, as Thalarctos maritimus.)I think its Ursus maritimus but i am not 100% sure :)The scientific name for the polar bear is Ursus maritimus.Formally Thalarctos Maritimus. However, since recent data shows they are very closely related to brown bears, it has been changed to Ursus Maritimus.The scientific name for polar bears is Ursus maritimus.
Financial data, scientific measurements, population statistics, and sports scores all use specific numbers or amounts in their presentation. These types of data depend on precise numerical values to convey information accurately.
Measurements Often Involve Numbers Or Numerical Expressions(:
If the data numbers are all really close together than no. But if the data has numbers; for example: 12,43,45,51,57,62,90 (12 and 90 are the outliers) which are really far aprt, than yes.
Data that can be expressed by numbers, for example 35% or 0.23 or a quarter. The opposite is qualitive data and this would be opinions.
Data is facts and statistics collected for reference and/or analysis. Data can be numbers, text, addresses, etc. Here is an example of data: Plant 1: 5 cm Plant 2: 3 cm Plant 3: 8 cm
The mode is the answer which appears most frequently in a set of data! For example in this data: 2,4,4,6,7,7,7,8,8,9! The mode would be 7!