# data[].attributes.body
Meaning:

the practice or science of collecting and analysing numerical data in large quantities, especially for the purpose of inferring proportions in a whole from those in a representative sample.

Features:

Statistics feature quantitative, numerical data that represent an aggregate of facts, collected for a predetermined purpose and systematically, to be numerically expressed and placed in relation to each other for comparison and analysis. These figures must be comparable.

Meaning they should be homogeneous or of the same kind, and are often affected by multiple causes, which can include variability and uncertainty.

# data[].attributes.body
Meaning:

Statistics is a branch of applied mathematics that involves the collection, description, analysis, and interpretation of data drawn from a sample of a larger population. Statistical sampling is used in medicine.

Features:
Statistics are features of collected data, not the science itself, and include being an aggregate of facts, numerically expressed, systematically collected for a purpose, and comparable to draw conclusions. These characteristics define the numerical information used in the broader field.

# data[].attributes.body
Meaning:

A statistic is a value that has been produced from a data collection, such as a summary measure, an estimate or projection. Statistical information is data that has been organised to serve a useful purpose.

Features:
Statistical information consists of an aggregate of facts, presented in a numerical or quantitative form that is systematically collected for a predetermined purpose. These facts must be comparable, related to each other to draw conclusions, and are generally affected by multiple causes.

# data[].attributes.body
Meaning:

Statistics is the science concerned with developing and studying methods for collecting, analyzing, interpreting and presenting empirical data.

Features:

Statistics must be numerically expressed. Statistics are collected for a pre-defined purpose Statistics should be collected in a systematic manner.

# data[].attributes.body
Meaning:

the practice or science of collecting and analysing numerical data in large quantities, especially for the purpose of inferring proportions in a whole from those in a representative sample.

Features: "Statistical features" can refer to fundamental characteristics of statistical data, such as being a collection of facts, numerically expressed, and suitable for systematic collection and analysis for a specific purpose. It can also refer to features of a dataset in data science, which are measurable properties like mean, median, variance, or categorical and continuous variables that describe the data and can be used to predict outcomes.

# data[].attributes.body
Meaning:

it's the exciting process of collecting information data, organizing it in a smart way like in charts or graphs, and then understanding what it all means to find answers and make predictions.

Feature:

refers to the key concepts and activities involved in understanding data, including data collection, organization, representation like charts and graphs, and analysis to find patterns and make interpretations.

# data[].attributes.body
MEANING

Statistics refers to both the science of collecting, analyzing, interpreting, and presenting numerical data, and to the numerical data or facts themselves that are collected and summarized to provide significant information about a subject

FEATURES

he phrase "its statistics" likely emphasizes that statistics—whether as a method or as a set of facts—describes and quantifies the reality of a situation, providing meaningful information from data to inform decisions.

# data[].attributes.body
Meaning of Statistics:

Statistics is a branch of mathematics that deals with the collection, organization, analysis, interpretation, and presentation of data. It helps in making decisions based on data, especially when dealing with uncertainty.

There are two main aspects of statistics:

1. Descriptive Statistics – This involves summarizing and organizing data using tools such as graphs, averages, and percentages.

2. Inferential Statistics – This involves making predictions or inferences about a population based on a sample of data.

Features of Statistics:

1. Quantitative Nature

Statistics deals primarily with numerical data.

Qualitative information is also converted into numbers (e.g., gender as 0 = male, 1 = female).

2. Systematic Collection of Data

Data must be collected in a planned and organized manner to be useful.

3. Data Organization and Presentation

Data is organized in tables, charts, or graphs for better understanding.

4. Analysis and Interpretation

Statistical methods help in identifying patterns, trends, and relationships in data.

5. Helps in Decision Making

Used in various fields (economics, business, medicine, etc.) for informed decision-making.

6. Deals with Uncertainty

Statistics provides estimates and probabilities, helping to make decisions under uncertain conditions.

7. Applicable to a Group, Not Individual

Statistics usually refers to data about a group or population, not individual cases.

8. Comparative Study

It helps in comparing different datasets or trends over time.

# data[].attributes.body
Meanig:

Statistics is the science and practice of collecting, analyzing, interpreting, and presenting numerical data to gain insights and make informed decisions.

Featues:

it consists of aggregates of facts, which are always numerically expressed, collected for a pre-determined purpose, and should be comparable to each other

# data[].attributes.body
Statistics is the scientific discipline of collecting, organizing, analyzing, interpreting, and presenting data to draw conclusions and make informed decisions. Its key features include its basis in mathematics and probability, its ability to summarize complex data into meaningful insights, and its two main branches: descriptive statistics, which summarizes data, and inferential statistics, which makes predictions and inferences about a population from a sample.

Meaning of Statistic.

Statistics is a broad field that uses methods to understand the world by collecting and studying information in the form of data. It involves transforming raw data into understandable information and then using that information to:

features:

Statistics means any numerical data (information). Therefore, statistics is recording, classifying and analysis of numerical data. Examples: 1 India literacy rate is 74.04%in 2011 compared to 64.83% as per 2001 census. The literacy rate is highest in Kerala at 93.91% and lowest in Bihar at 63.82% in 201

# data[].attributes.body
Meaning:

Statistics is the science and practice of collecting, analyzing, interpreting, and presenting numerical data to gain insights and make informed decisions.

Feature:

Statistics features the collection, organization, analysis, and interpretation of numerical data to solve problems and make inferences.

# data[].attributes.body
Meaning: Statistics is the science and art of collecting, analyzing, interpreting, presenting, and organizing data to draw meaningful conclusions and make predictions from numerical information. It is a branch of mathematics that uses tools like probability and various analytical methods to understand patterns.

Features: Statistics as a field of mathematics involves features such as dealing with large collections of data rather than single facts, systematically collecting and organizing data for a specific purpose, numerically expressing facts that can be enumerated or estimated, and relating data to draw comparisons and conclusions.

# data[].attributes.body
Key Features of Statistics

Collection &

The process begins with gathering data (e.g., through surveys or experiments) and then

it in a systematic way.

Analysis & Interpretation:

Statistical methods are used to data, identify trends, and make sense of complex information using models and calculations.

Presentation:

Data is presented in a clear, understandable format, such as tables, graphs, and other visual aids, to facilitate easy interpretation.

Two Main Types:

Descriptive Statistics: Focuses on and describing the main features of a data set, often using measures like the mean or median.

Inferential Statistics: Uses information from a sample to draw conclusions and make predictions about a larger

.

Application Across Fields:

Statistics is a versatile discipline applied in various sectors, including business, economics, psychology, and social sciences, to understand patterns and forecast future events.

# data[].attributes.body
MEANING:

A statistics example is finding the average income in a region, the percentage of students who passed an exam, or the number of people preferring a specific brand of soda. Statistics use numerical data from a sample to draw conclusions or make predictions about a larger population.

FEATURES:

Statistics have several key features, including being an aggregate of facts rather than isolated numbers, being numerically expressed to enable quantification and comparison, being collected for a pre-determined purpose using a systematic method, exhibiting reasonable accuracy, and being affected by multiple causes to provide a holistic view. These characteristics allow for the analysis and interpretation of complex data sets to draw meaningful conclusions.

# data[].attributes.body
what is the Meaning of statistic:

However statistic arguably is not a branch of mathematics. Mathemtical sience ,was built upon the mathtical discpline of probabillity . Some way in which mathematics and statisitcs differ include:statictics often does not produce definitive conclesion whereas mathematics usually done.

what is the feature of statistic:

(A) statisitic are aggregate of facts.

# data[].attributes.body
MEANING:

Statistics is a sub-discipline of mathematics that involves methods for dealing with data in the face of uncertainty.

FEATURES:

(a) Statistics are aggregate of facts (b) Statistics must be numerically expressed. (c) Statistics are collected for a pre-defined purpose (d) Statistics should be collected in a systematic manner. (e) Statistics are placed in relation to each other.

# data[].attributes.body
Meaning:

The practice or science of collecting and analysing numerical data in large quantities.

Features:

Key features of statistics in its plural sense (numerical data).

# data[].attributes.body
Meaning:

Statistics is a way to be a data detective. It's the fun process of collecting information, organising it, and using it to understand and answer questions about the world.

Features:

Statistics deals with collections of data, or aggregates of facts, rather than single, isolated figures. The data must be numerical or expressed in figures to allow for analysis and comparison.