The data collected does not have to be measurable.
FALSE ;)
Measurable data is data that can be measure by a quantity. Measurable data is also known as quantitative data.
Measurable data is data that can be measure by a quantity. Measurable data is also known as quantitative data.
Quantitative data deals with numbers and data that are measurable. Qualitative data, meanwhile, deals with descriptions and data that are observable but not measurable.
Quantitative data describes the measurable attributes of the subject. Qualitative data describes the remaining non-measurable but perceivable attributes of the subject
In continuous grouped data the data is collected continuously and in groups. Data collected is in class intervals the actual data values are not visible.
Measurable data is data that can be measure by a quantity. Measurable data is also known as quantitative data.
Measurable data is data that can be measure by a quantity. Measurable data is also known as quantitative data.
Quantitative data deals with numbers and data that are measurable. Qualitative data, meanwhile, deals with descriptions and data that are observable but not measurable.
Any kind of data can be collected.
Data that is collected may have been collected previously for some reason, or it might have been collected recently. Data is usually collected to show statistics or information about something specific.
Quantitative data describes the measurable attributes of the subject. Qualitative data describes the remaining non-measurable but perceivable attributes of the subject
The collected data is organized in a fashion so you can determine if the hypothesis is supported.
In continuous grouped data the data is collected continuously and in groups. Data collected is in class intervals the actual data values are not visible.
Relational databases like MySQL, PostgreSQL, Oracle, and SQL Server store data in tabular format, commonly referred to as tables. These tables consist of rows and columns, with each row representing a record and each column representing a different attribute or field of that record.
Yes, age is considered objective data because it can be measured and documented with accuracy. Age is typically based on a person's date of birth and is not subject to interpretation or personal bias.
Calculations or comparisons made using the collected data
You may be thinking of 'anomaly'.