What is Statistics? |Statistics Definition - TpointTech

1. T point Tech STATISTICS DEFINITION www.javatpoint.com

2. T point Tech Statistics is an important process and becomes a critical factor when a decision is based on data. It is a branch of mathematics that deals with data. Correct statistical information helps select a precise method to gather data and engage those samples in an accurate examination to generate a precise result.

3. T point Tech STATISTICS IN MATHEMATICS Statistics involves gathering, presenting, analyzing, and interpreting data. Its main goal is to strategize data for surveys and experiments. It is also considered a mathematical science dealing with numerical data.

4. T point Tech EXAMPLE OF STATISTICS Determination number of students in the Class Calculation of poor and Rich people in the Class Number of malls in the city

5. T point Tech TYPES OF STATISTICS Statistics has only two branches: Descriptive Statistics Inferential Statistics

6. T point Tech 1. Descriptive Statistics 2. Inferential Statistics Descriptive statistics use tables, graphs, and numerical calculations to present data, such as the number of students in a class. It relies on a data sample collected from the population and is used to make inferences and predictions. Both types are recruited in statistical analysis.

7. T point Tech FEATURES OF STATISTICS The critical features of the statistics are: It should be numerically presented. It involves an aggregate of facts. It should be gathered systematically. It should be comparative. It is gathered for the definite objective.

8. T point Tech IMPORTANCE OF STATISTICS It helps in collecting quantitative data Presents complex data in tables, graphs, and diagrams for better visualization Enhances understanding and comprehensive elaboration Ensures reliability and valid inferences Aids in understanding variability patterns through quantitative observations

9. T point Tech STATISTICAL LEVEL OF MEASUREMENT 1. NOMINAL LEVEL OF MEASUREMENT The nominal level of measurement deals with names, labels, or categories. It does not include numbers or numerical values. It is used to classify things without considering any quantity or order. For example, The name of the Prime Minister elected in 2019 was Robert jr. 2. ORDINAL LEVEL MEASUREMENT All data have equal importance and are arranged in a specific order. The values cannot be subtracted from each other because their position matters. This data type is called nonparametric statistics and is compared with the whole group of variables. For example, Indian Ashwin Kumar was the fastest man in the Rio Olympics in the 50-meter sprint.

10. 3. INTERVAL LEVEL MEASUREMENTNT Differences between the data set contain meaning, and the outcomes are arranged in order. Comparison is often based on two different data points. For example, The price Rise hit 9.6% in April 2002, and the last time the price rise was high was in January 1980. 4. RATIO LEVEL MEASUREMENT Differences between the data values have meaning, and outcomes are arranged in order. Now it can contain zero value and the starting point. Data ratio also contains some meaning. For example, The highest temperature recorded by the meteorological department was 51 degrees Celsius in Nashik.

11. T point Tech SCOPE OF STATISTICS Statistics are employed in numerous sectors, including probability, weather, forecasting, and geology. The objective of the statistics is to achieve understanding from the available data. It stresses the applications; therefore, it is also called a mathematical science.

12. T point Tech TECHNIQUES IN MATHEMATICS Three techniques play an important role, and they are: Data Collection Statistical Analysis Data Summarisation

13. T point Tech PRESENTATION OF DATA Different methods are adopted to present the data to the audience, and some of the methods are: Frequency Distribution Line Graph Histogram Bar Graph Pie Chart Pictograph

14. T point Tech CENTRAL TENDENCY MEASUREMENT Statistics in mathematics are employed to present the central tendencies of the ungrouped and grouped data. The three measures of the Central tendencies are: Mean Median Mode Central tendency is employed to figure out the available data's central value.

15. T point Tech MEASURES OF DISPERSION The dispersion measures in the statistics help in understanding the data variability. There are two types of dispersion measures, categorized as Relative and Absolute Mean and Mean Deviation Range Variance Quartiles and Quartile deviation Standard Deviation

16. T point Tech RELATIVE MEASURES OF DISPERSION Co-efficient of Mean Deviation Co-efficient of Range Co-efficient of Quartile Deviation Co-efficient of Variation Co-efficient of Standard Deviation

17. T point Tech SKEWNESS IN STATISTICS Skewness, meaning in Statistics, is a computation of the asymmetry in the probability distribution. It computes the deviation of the curve of the normal distribution of the given data. The outcome of the skewed could be negative or positive.

18. T point Tech FREQUENTLY ASKED QUESTION Question: What is the objective of the Statistics? Ans: It helps to learn to use limited samples to make accurate determinations. Using graphs, diagrams, or tables plays a significant role in presenting the information meaningfully. Question: What is the significance of Statistics in actual life? Ans: It motivates you to use useful ideas to collect information and use it in the right direction to present outcomes. Measurement is an important cycle behind how we disclose in science and settle on choices dependent on information and forecasts.

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