Before a web admin collect data from his website visitors, he must fully disclosed why he is collecting data in the first place. Data collected can be very diverse depending on the nature of the website or the business the website is engage in, the following information maybe ask of the site's visitors: name, age, birthday, email address, billing address, credit card number (for legitimate business websites), preferences and interest (mostly for forums and blogs). Again, a full disclosure must be made by the web admin as to why they are collecting data from visitors and what they are going to do with the data collected among others.
Conclude that you made a mistake in the way you collected the data
Before using a website to store student information, you should ensure that the website is secure and complies with data protection regulations (like GDPR in Europe). Verify that the website encrypts data, has proper access controls, and provides a clear privacy policy outlining how data is collected and used. It's also essential to inform students and families about data storage and privacy practices.
Any kind of data can be collected.
conclusion based on data expected to be collected in the experiment
The data collected does not have to be measurable.
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.
Primary data is data collected firsthand, through surveys, interviews, experiments, etc. by the researcher, while secondary data is existing data that has already been collected by someone else. An example of primary data would be survey responses collected by a marketing team for a new product. An example of secondary data would be industry reports or census data obtained from a government website.
Possible error
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.
Calculations or comparisons made using the collected data
You may be thinking of 'anomaly'.