The two major types of statistics are descriptive statistics and inferential statistics. Each of these statistical segments serves specific purposes, and they are used to accomplish different objectives.
Know MoreDescriptive statistics is used to describe and summarize data. Numerical measures such as average, standard deviation and correlation are used to describe the features of a set of data. Inferential statistics studies a statistical sample and, through analysis, is able to say something about the population from which the sample came. Because it is difficult to examine each member of the population individually, a representative sample is used to make estimations, correlations and predictions using the data.
Learn more about StatisticsStatisticians use inferential statistics to reach conclusions that extend beyond the specific data studied, such as when using sample data to determine how a larger population might behave or respond to a specific stimulus. Inferential statistics can also compare the average performance between two groups, often through a device called the t-test.
Full Answer >A binomial experiment is a type of probability distribution in statistics that defines the probability of only two possible outcomes. This experiment involves a specific number of independent trials that lead to exclusively dichotomous alternatives.
Full Answer >In mathematics, particularly in the field of statistics, the mode is the value that occurs most often in a series of numbers. It is also referred to as the modal value. If a set of data values does not have a repeating number, then it has no mode.
Full Answer >Judgment sampling is a method in statistics and quantitative research for non-randomly selecting subjects for study from a population by selecting according to the opinion of an expert. It is a biased method that is useful when some members of a population make better subjects than others. The nature of judgment sampling makes data derived by this method harder to generalize and prone to an increased chance of misrepresentation.
Full Answer >