Probability and Statistics

Data types are crucial notions in statistics because they allow us to accurately apply statistical measurements to data and conclude certain assumptions about it. Because you can apply certain factual metrics only for specific data kinds, having a good understanding of the various data types is critical for Exploratory Data Analysis or EDA. Similarly, you […]

Statistical distributions can be either discrete or continuous. The theoretical discrete distribution is defined as the probability distribution that depicts the occurrence of discrete (individually countable) outcomes. The continuous distribution is defined from those outcomes that come on a continuum. The probability distribution of random variable X will be writing the all possible values of

Statistical analysis is the method of carrying out the collection and summarization of data. It can be defined as the discipline of mathematics associated with the process of collection, analysis, interpretation, organization, and presentation of data in a particular and concise manner. The data sets are usually represented in a tabular format for easy understanding

The observations based upon any test which happened, it can be an experiment for reading the changes in value, can be noted to vary between a range. The value for each experiment may not be identical. These values may be noted to be within a range of numbers. Thus, the range may not be useful

In statistics, tests of significance are used to draw a judgment about whether a claim is true or false based on a sample of data. Statistics is a branch of mathematics that is concerned with the collecting and computation of numerical data. This subject is well-known for statistical survey research. A test of significance is

Data is a set of facts, usually in the form of numbers such as measurements or statistics. A data set is a collection of information that is commonly represented visually, such as in a table or graph. What exactly does data dispersion imply? The form of a data set when presented on a graph, most

Statistics is a discipline of mathematics that deals with all aspects of data. Statistical knowledge aids in the selection of the most appropriate method for gathering data and the proper use of those samples in the analysis process in order to provide successful results. In a nutshell, statistics is a critical process that aids in

When we take samples from a population and calculate their means, the means are organized into a distribution around the real population mean. The standard error is the standard deviation of this distribution of sampling means. The standard error measures how closely a sample’s mean corresponds to the population’s true mean. With a bigger standard

A data set’s sample mean is usually different from the population mean. SE is the symbol for it. It’s used to figure out how well a sample represents its population. Data, sample and population, mean, median, mode, dependent and independent variables, standard deviation, variance, and other statistical subjects are covered.  Standard error: The standard error

Covariance and correlation can be defined as basic statistical tools which describe the relationships between two variables. They are used to study the relationships between two variables. This can be specified in terms of dependence and association, particularly in the case of linear relationships. Covariance is calculated under the same units as that of two