The presentation of data refers to how mathematicians and scientists summarize and present data related to scientific studies and research. In order to present their points, they use various techniques and tools to condense and summarize their findings. These tools include the use of tables, graphs and subsets to provide an overview of their calculations and the data they have mined.Continue Reading
To present a large amount of data in an understandable format, researchers often condense the results into groups. The groupings are referred to as "classes," and the size of each class is called a "class width" or "class size." A class width features a lower class limit and upper class limit. So, in the class 30-39, "30" represents the lower class limit while "39" denotes the upper class limit. This kind of data are condensed into tabular form or subsets for demonstration purposes.
The University of Leicester supports the idea of presenting data using tables. However, according to the school's website, it is essential to consider data arrangement, as well. The site states that most individuals find it easier to comprehend data by reading down columnar featured data rather than by scanning the information across a row. Therefore, it is typically better to underscore research results or calculations in a table's columns. The data should be arranged in accordance to its magnitude.Learn more about Statistics
Statistics as a form of scientific discipline plays an important role in research because it enables the researcher to develop accurate and reasonable inferences from relevant data collections. In this way, the researcher is able to make more informed decisions rather than facing uncertainties. This is particularly important in the area of medical research and can help to prevent or minimize biases and errors.Full Answer >
Data inconsistency is a condition that occurs between files when similar data is kept in different formats in two different files, or when matching of data must be done between files. As a result of the data inconsistency, these files duplicate some data such as addresses and names, compromising data integrity.Full Answer >
Chebyshev's theorem, or inequality, states that for any given data sample, the proportion of observations is at least (1-(1/k2)), where k equals the "within number" divided by the standard deviation. For this to work, k must equal at least 1. This theorem provides a way to know what percentage of data lies within the standard deviations from any data set.Full Answer >
The mean absolute deviation of a number set is the average distance between each value and the mean. This is obtained by finding the mean of the set, determining the absolute value difference between each number, and the mean and calculating the average of these differences.Full Answer >