This may seem confusing, but I'll try. When you collect data from a sample, you have to determine if the differences you found is so great that it is statistically significant in the population (whole). Differences will occur in data, but if they are not considered significant they are not useful. You would run certain inferential tests to see if something is significant. The test you run depends on the type of data you collect.
As the word statistics it's collecting and analyzing data quantities, if we say statistics friendly it's like you are collecting data in a way that it's valuable and uniform, by making a proper decisions in a good manner.
It can be defined as followed. The conclusion reached on the basis of evidence.
ways of presenting data in statistics
Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data.[1] Statisticians improve the quality of data with the design of experiments and survey sampling. Statistics also provides tools for prediction and forecasting using data and statistical models. Statistics is applicable to a wide variety of academic disciplines, including natural and social sciences, government, and business.^Based On Wikipedia...
All statistics are data because all statistics are formed of numbers and numbers are a type of data (numrical). But not all data is statistics because not all data is numbers, it can also be words, pictures etc. It's like saying all apples are fruit but all fruit are not apples.
Some data in statistics can affect numbers, which will skew the data. When this happens managers should make business decisions that ignore the stats.
Statistics is a branch of mathematics that involves collecting, analyzing, interpreting, and presenting data. It is not a language feature itself, but it is used in various programming languages to analyze and draw insights from data.学statistics is commonly used in fields such as data science, machine learning, and research to make informed decisions based on data patterns and trends.
No. Outliers are part of the data and do not affect them. They will, however, affect statistics based on the data and inferences based on the data.
Statistics is the collection, analysis, and interpretation of data to make informed decisions. Information technology involves the use of computers and telecommunications to store, retrieve, and transmit data. Statistics plays a crucial role in information technology by providing insights into data patterns and trends, which helps in making data-driven decisions and improving IT systems and processes.
As the word statistics it's collecting and analyzing data quantities, if we say statistics friendly it's like you are collecting data in a way that it's valuable and uniform, by making a proper decisions in a good manner.
As the word statistics it's collecting and analyzing data quantities, if we say statistics friendly it's like you are collecting data in a way that it's valuable and uniform, by making a proper decisions in a good manner.
What are the components of Statistics? Give a brief description of each of the components
As the word statistics it's collecting and analyzing data quantities, if we say statistics friendly it's like you are collecting data in a way that it's valuable and uniform, by making a proper decisions in a good manner.
It can be defined as followed. The conclusion reached on the basis of evidence.
Mathematica can be divided into two parts ; viz. Mechanics, and Statistics. Mechanics deals with the movement of a single object in a population. Statistics deals with the movement of the population as a whole. e.g. A single car may move at 30 mph. The total car population may have an average/mean speed of 20 mph.
Statistics play a very vital role in accounting. They help in the interpretation of data which is crucial for making proper accounting decisions.
The division of statistics are generally divided into two groups: inferential and descriptive. Inferential statistics require that a conclusion is drawn from data, based almost solely on human inference. Descriptive statistics are numbers that describe a set of data.