Reliable data is trusted data that can be used without doubt.
Replicable data is data that is allowed to be copied or can be duplicated.
Only experience can tell you that. A source whose information checks out when compared to reality (e.g. other sources) is usually reliable, while a source whose data turns out not to match reality would be considered unreliable.
An experiment tests a hypothesis; an investigation mainly collects data.
A "plan experiment" refers to the process of designing a structured investigation to test a hypothesis or explore a specific question. It involves defining variables, selecting methods for data collection, and determining how to analyze the results. Effective planning ensures that the experiment is replicable and that the findings are valid and reliable. This systematic approach helps researchers draw meaningful conclusions from their work.
most of the time you would want it to be accurate and reliable but sometimes it doesn't it.depends on what the subject is
an experiment tests an hypothesis while an investigation is collecting data
difference between Data Mining and OLAP
difference between serch data structure and allocation data structure
The scope of work and the educational requirements are the difference between data communication and data communication information.
The difference between primary data and secondary data is that primary data is the information from the original research.
Psychologists use the scientific method to gather empirical evidence, test hypotheses, and draw conclusions based on data. It helps ensure that their findings are reliable, valid, and replicable, contributing to the credibility and advancement of the field.
Expalain the difference between cyclical and seasonal variations in a data series?
Q: differentiate between group and ungroup data
The difference between data and information is that one is spelt incorrectly.
What is the difference between data communication and telecommunication ?
data-wee explanation-poo
Using the scientific method ensures that research on environmental issues is rigorous, replicable, and unbiased. It helps to standardize data collection and analysis, leading to more reliable conclusions. It also allows for systematic testing of hypotheses and the identification of patterns or trends in environmental data.
The difference between the greatest and least numbers in a set of data is called the range.