The statistical term that describes the amount of variation in data is "variance." Variance quantifies how much individual data points differ from the mean of the dataset, indicating the spread of the data. A higher variance signifies greater dispersion among the data points, while a lower variance indicates that the data points are closer to the mean. Another related measure is the standard deviation, which is the square root of the variance and provides a more interpretable scale of variability.
There are many people who use statistical data analysis. Scientists, websites, and companies are all use of statistical data analysis. This analysis is beneficial to the people that study it.
Statistical data is a list, lists, or charts of facts that are laid out side by side for comparisons sake. Statistical data is all about the numbers and percentages of any given thing. How often? What kind? How popular? Where at? How many? etc.
It describes the "middle" of the data set.It describes the "middle" of the data set.It describes the "middle" of the data set.It describes the "middle" of the data set.
Statistical enquiry is a statement containing data where the object or subject is unidentifiable. There is no way to determine who or what the data applies to in these types of enquiries.
variation
Standard Deviation
Variation in a data set refers to the degree to which the data points differ from each other and from the mean of the set. It is a measure of the spread or dispersion of the data. Common statistical measures of variation include range, variance, and standard deviation, which help to quantify how much the values in the dataset vary. A high variation indicates that the data points are widely spread out, while a low variation suggests they are closer to the mean.
A statistical question is one that anticipates variability in the data and can be answered by collecting and analyzing data. Unlike a question with a definitive answer, a statistical question typically involves a population and seeks to understand trends, patterns, or distributions within that population. For example, "What is the average height of students in a school?" is a statistical question, as it requires data collection and consideration of variation among students.
statistical
Measures of variation are statistical tools used to quantify the dispersion or spread of a data set. Key measures include range, variance, and standard deviation, which help to understand how much individual data points differ from the mean or each other. High variation indicates that data points are widely spread out, while low variation suggests they are clustered closely around the mean. Understanding variation is crucial for interpreting data and assessing its reliability and consistency.
A statistical technique used to eliminate variance in dependent variables caused by extraneous sources. In evaluation research, statistical controls are often used to control for possible variation due to selection bias by adjusting data for program and control group on relevant characteristics.
A statistical question is one that anticipates variability in the data and can be answered using data collection and analysis. For example, "What is the average amount of time high school students spend on homework each week?" This question allows for data collection from multiple students, leading to a statistical analysis of the responses to determine a mean value.
statistical data of GNP of the Philippines
common statistical data use in health administration
Random variation refers to the natural variability observed in data that arises due to chance or random factors. It can impact the results of experiments, making it important to account for this variability when drawing conclusions from data. Random variation is often controlled for using statistical methods to ensure that patterns or effects observed are not simply due to chance.
Yes. In applying inferential statistical methods the assumption is made that at least some of the variation observed in the data is due to randomness and that the laws of probability can be applied to take this into account in drawing conclusions from the data.
Secondary data's are the historical statistical data's which are maintained by internal and external agencies which best describes the historic trends of a particular organization or a product and can be accessed by proper authentication from the concerned for any productive purpose.