A set of observations is typically called a "dataset." In scientific research, datasets are used to analyze trends, test hypotheses, and draw conclusions based on collected data. Datasets can vary in size and complexity, ranging from simple lists of measurements to large, multidimensional arrays of information.
Observations that deal with descriptions are called qualitative observations. They focus on the characteristics, qualities, and attributes of objects or phenomena, often using sensory details such as color, texture, and appearance. Unlike quantitative observations, which involve measurements and numbers, qualitative observations provide a more subjective understanding of the subject being studied.
Observations that describe have various names based on the context, such as facts, data, evidence, or findings. They provide information, details, or characteristics about a particular subject or situation.
Pieces of information gathered through observation are called observations or data.
An unproven statement based on observations is called a hypothesis. It is a proposed explanation for a phenomenon that can be tested through experimentation and further observation. Hypotheses are essential in scientific research as they guide the inquiry process and help in formulating predictions that can be validated or refuted.
A scientific theory is a set of commonly accepted scientific ideas and assumptions that explain a wide range of observations and have been rigorously tested. These theories are supported by evidence and have withstood repeated experiments and observations.
data
A normal data set is a set of observations from a Gaussian distribution, which is also called the Normal distribution.
A scientific explanation for a set of observations that can be tested in ways that support it or reject it is called a hypothesis. A hypothesis is a proposed explanation for a phenomenon that can be tested through experiments or observations to determine its validity.
Scientific Method
A general explanation of a set of observations or facts is typically referred to as a theory or a hypothesis. It is a proposed explanation that can be tested and further refined through scientific methods and research.
It is true that scientific models are based on a set of observations, along with a logical analysis of those observations.
The "mean" is the "average". In statistics, it is the commonly used terminology. The mean value of a set of numeric observations is the sum of that set of observations divided by the number of observations.
Usually, when observations and measurements are aggregated, these are called DATA.
hypothesis
Hypothesis
Given a set of data, order the observations by size. Then divide the set into four such that each part contains a quarter of the observations. These are the quartiles.
If there is zero deviation all the observations are 50.