Statistics Introduction class - Ist PPT For Nursing Student By - Mr. Ramkishor chopra For more classes join you YouTube channel - https://youtube.com/@NURSESTHERISINGSTAR
Basics of Research Types of Data ClassificationHarshit Pandey
This document provides an introduction and overview of research methods and statistics. It begins by outlining the origins and early contributors to statistics as a field, including its use in state administration starting in the 17th century. Key concepts in statistics such as variables, populations, samples, and levels of measurement are then defined. The document distinguishes between descriptive and inferential statistics, outlining common techniques for each. It concludes by discussing the scope and limitations of statistics as a scientific discipline.
- Descriptive statistics are used to describe and summarize key characteristics of a data set.
- They include measures such as counts, means, ranges, and standard deviations.
- Descriptive statistics provide simple summaries about the sample and the measures, but do not make any claims about the population.
- The document provides examples of how descriptive statistics could be used to summarize caseload data from public defender offices.
Basic statistics by Neeraj Bhandari ( Surkhet.Nepal )Neeraj Bhandari
Statistics is the science of collecting, organizing, analyzing, and interpreting data. It involves collecting data, presenting data through tables and graphs, analyzing the data to draw conclusions, and interpreting the results. Statistics is used in many fields including business, government, health, sciences, and more to make data-driven decisions and draw valid conclusions about populations. Statistical thinking focuses on identifying and reducing variations in phenomena and will become increasingly important for citizens.
Statistics is the science of collecting, organizing, analyzing, and interpreting numerical data. The word "statistics" originated in the 18th century from German and Latin words meaning "state." Statistics is used across many fields including economics, banking, education, industry, agriculture, and medical science. Some limitations of statistics are that it does not study qualitative phenomena, individuals, or provide exact laws. Statistics must also be properly used to avoid misinterpretation.
Notes of BBA /B.Com as well as BCA. It will help average students to learn Business Statistics. It will help MBA and PGDM students in Quantitative Analysis.
Statisticians help collect, analyze, and interpret numerical data to solve problems and make predictions. The steps of statistical analysis involve collecting information, evaluating it, and drawing conclusions. Statisticians work in a variety of fields such as medicine, government, education, business, and more. They help determine sampling methods, process data, and advise on the strengths and limitations of statistical results.
Statistics is the study of collecting, organizing, analyzing, and presenting data. It has a long history dating back to 1749. Statistical activities often use probability models and require probability theory. Key concepts in statistics like experimental design and statistical inference have impacted many fields. Statistics is used in many areas including business, education, psychology, health, engineering, and more. Descriptive statistics describes data while inferential statistics makes conclusions about populations from samples.
Statistics as a subject (field of study):
Statistics is defined as the science of collecting, organizing, presenting, analyzing and interpreting numerical data to make decision on the bases of such analysis.(Singular sense)
Statistics as a numerical data:
Statistics is defined as aggregates of numerical expressed facts (figures) collected in a systematic manner for a predetermined purpose. (Plural sense) In this course, we shall be mainly concerned with statistics as a subject, that is, as a field of study
Basics of Research Types of Data ClassificationHarshit Pandey
This document provides an introduction and overview of research methods and statistics. It begins by outlining the origins and early contributors to statistics as a field, including its use in state administration starting in the 17th century. Key concepts in statistics such as variables, populations, samples, and levels of measurement are then defined. The document distinguishes between descriptive and inferential statistics, outlining common techniques for each. It concludes by discussing the scope and limitations of statistics as a scientific discipline.
- Descriptive statistics are used to describe and summarize key characteristics of a data set.
- They include measures such as counts, means, ranges, and standard deviations.
- Descriptive statistics provide simple summaries about the sample and the measures, but do not make any claims about the population.
- The document provides examples of how descriptive statistics could be used to summarize caseload data from public defender offices.
Basic statistics by Neeraj Bhandari ( Surkhet.Nepal )Neeraj Bhandari
Statistics is the science of collecting, organizing, analyzing, and interpreting data. It involves collecting data, presenting data through tables and graphs, analyzing the data to draw conclusions, and interpreting the results. Statistics is used in many fields including business, government, health, sciences, and more to make data-driven decisions and draw valid conclusions about populations. Statistical thinking focuses on identifying and reducing variations in phenomena and will become increasingly important for citizens.
Statistics is the science of collecting, organizing, analyzing, and interpreting numerical data. The word "statistics" originated in the 18th century from German and Latin words meaning "state." Statistics is used across many fields including economics, banking, education, industry, agriculture, and medical science. Some limitations of statistics are that it does not study qualitative phenomena, individuals, or provide exact laws. Statistics must also be properly used to avoid misinterpretation.
Notes of BBA /B.Com as well as BCA. It will help average students to learn Business Statistics. It will help MBA and PGDM students in Quantitative Analysis.
Statisticians help collect, analyze, and interpret numerical data to solve problems and make predictions. The steps of statistical analysis involve collecting information, evaluating it, and drawing conclusions. Statisticians work in a variety of fields such as medicine, government, education, business, and more. They help determine sampling methods, process data, and advise on the strengths and limitations of statistical results.
Statistics is the study of collecting, organizing, analyzing, and presenting data. It has a long history dating back to 1749. Statistical activities often use probability models and require probability theory. Key concepts in statistics like experimental design and statistical inference have impacted many fields. Statistics is used in many areas including business, education, psychology, health, engineering, and more. Descriptive statistics describes data while inferential statistics makes conclusions about populations from samples.
Statistics as a subject (field of study):
Statistics is defined as the science of collecting, organizing, presenting, analyzing and interpreting numerical data to make decision on the bases of such analysis.(Singular sense)
Statistics as a numerical data:
Statistics is defined as aggregates of numerical expressed facts (figures) collected in a systematic manner for a predetermined purpose. (Plural sense) In this course, we shall be mainly concerned with statistics as a subject, that is, as a field of study
1. The document discusses a lecture on biostatistics including topics like introduction to statistics, exploratory tools for univariate data, probabilities and distribution curves, and sampling distribution of estimates.
2. It provides examples of different types of data like qualitative vs quantitative and discrete vs continuous data. It also discusses different scales of measurement.
3. Biostatistics is defined as the application of statistical methods to biological and health-related studies and it is widely used in areas like epidemiology, public health, and clinical research.
Definition, functions, scope, limitations of statistics; diagrams and graphs; basic definitions and rules for probability, conditional probability and independence of events.
Chapter 1 Introduction to statistics, Definitions, scope and limitations.pptxSubashYadav14
This document provides an introduction to statistics, including definitions, scope, and limitations. It defines statistics as both numerical facts and the methods used to collect, analyze, and interpret those facts. Several authors' definitions of statistics are presented, emphasizing that statistics are aggregates of numerically expressed or estimated facts affected by multiple causes and collected systematically. The functions of statistics are described as simplifying data, enabling comparisons, and guiding policy decisions. The importance of statistics in fields like planning, business, economics, administration, and agriculture is discussed. Descriptive and inferential statistics are briefly introduced, as are some limitations of statistical analysis.
This document discusses the role and importance of statistics in scientific research. It begins by defining statistics as the science of learning from data and communicating uncertainty. Statistics are important for summarizing, analyzing, and drawing inferences from data in research studies. They also allow researchers to effectively present their findings and support their conclusions. The document then describes how statistics are used and are important in many fields of scientific research like biology, economics, physics, and more. It also provides examples of statistical terms commonly used in research studies and some common misuses of statistics.
1. The document discusses the meaning, uses, functions, importance and limitations of statistics. It defines statistics as the collection, presentation, analysis and interpretation of numerical data.
2. Statistics has various uses across different fields such as policy planning, management, education, commerce and accounts. It helps present facts precisely and enables comparison, correlation, formulation and testing of hypotheses, and forecasting.
3. While statistics is important for planning, administration, economics and more, it also has limitations such as only studying aggregates, numerical data, and being an average. Statistics can also be misused if not used carefully by experts.
Statistics is the collection and analysis of data. There are two main branches: descriptive statistics, which organizes and summarizes data, and inferential statistics, which uses descriptive statistics to make predictions. Statistics starts with a question and uses data to provide information to help make decisions. It is widely used in business, health, education, research, social sciences, and natural resources.
This document provides an introduction and overview of statistics. It discusses that statistics refers to both the collection and analysis of quantitative data, as well as the scientific methods used. The document outlines the key stages of statistics including data collection, organization, presentation, analysis and interpretation. It also discusses the nature of statistics as both a science and an art. The subject matter is divided into descriptive and inferential statistics. Limitations, scope, functions and importance of statistics are also summarized.
Statistics is the science of collecting, organizing, and analyzing data to draw meaningful conclusions. There are two broad categories of statistics: descriptive statistics, which presents data through tables and graphs without inferences, and inferential statistics, which uses mathematical tools to make forecasts by analyzing given data. Quantitative data has numerical values and can be either discrete, taking specific values, or continuous, taking any value in a range, while qualitative data uses words or categories instead of numbers.
Statistics is the science of collecting, organizing, summarizing, analyzing, and interpreting data. It has its origins in Latin and other languages and refers to quantitative aspects of data management and meaningful interpretation. Statistics can be used in both plural and singular senses - referring either to numerical data or the methods used to analyze data. It is useful for converting random data into understandable information to aid in decision making. Statistics has important applications in business, government, industry, economics, and other fields for functions like presenting information simply, comparing facts, formulating policies, and forecasting.
Statistics is the collection, organization, analysis, and presentation of data. It has become important for professionals, scientists, and citizens to make sense of large amounts of data. Statistics are used across many disciplines from science to business. There are two main types of statistical methods - descriptive statistics which summarize data through measures like the mean and median, and inferential statistics which make inferences about populations based on samples. Descriptive statistics describe data through measures of central tendency and variability, while inferential statistics allow inferences to be made from samples to populations through techniques like hypothesis testing.
Analysis of statistical data in heath information managementSaleh Ahmed
This document discusses analysis of statistical data in health information management. It defines key terms like statistics, descriptive statistics, inferential statistics. It describes the different types of health statistics including vital statistics, morbidity statistics, and health service statistics. It also discusses how to calculate rates like crude rates and specific rates that are important measures for analyzing health data. Finally, it covers different methods for presenting statistical data, including tables, graphs, pie charts and histograms. The overall aim is to emphasize the importance of properly collecting, analyzing and presenting health statistics for effective healthcare planning and decision making.
This document provides an overview of statistics for social work research. It defines statistics as the science of developing knowledge through empirical data expressed quantitatively, based on probability theory. Statistics involves collecting, summarizing, and analyzing numerical data. Descriptive statistics summarize and describe data, while inferential statistics model patterns in data to draw inferences about populations. The document discusses the characteristics, functions, scope, limitations, and potential misuse of statistics.
This document provides an introduction to statistics. It defines statistics as the science of collecting, organizing, analyzing, and drawing conclusions from data. Data is defined as facts or figures collected for a specific purpose. The document outlines the characteristics of statistics and discusses the functions, scope and limitations of statistics. It also distinguishes between primary and secondary data, discrete and continuous data, and descriptive and inferential statistics.
This document provides an introduction to statistics. It defines statistics as the scientific methods for collecting, organizing, summarizing, presenting and analyzing data to derive valid conclusions. Statistics is useful across many fields and careers as it helps make informed decisions based on data. The document outlines descriptive and inferential statistics, and notes that descriptive statistics simplifies complexity while inferential statistics allows for conclusions to be drawn. It also discusses types of data sources, including primary data collected directly and secondary data that has already been collected.
This document defines statistics as the collection, analysis, interpretation, and presentation of quantitative data. It discusses key statistical terms like variables, constants, observations, data, populations, samples, parametric and nonparametric tests. Notations for populations and samples are also covered. The document outlines the scope of statistics in fields like planning, economics, business, industry, mathematics, science, psychology, education, war, banking, astronomy, and sociology. It describes the functions and advantages of statistics, as well as some disadvantages.
1. The document discusses the introduction to statistics, providing definitions and explaining key concepts. It describes how statistics is used in various fields like education, business, medical research, and agriculture.
2. Statistics is defined as the science of collecting, organizing, summarizing, presenting, analyzing, and interpreting data. It can be used as both a science and an art. Statistics has various applications in fields like administration, business, education, and medical and agricultural research.
3. The document outlines the basic terminology used in statistics, including data, variables, observations, quantitative and qualitative data, continuous and discrete variables. It distinguishes between primary and secondary data and their characteristics.
Statistics is the study of collecting, organizing, summarizing, and interpreting data. Medical statistics applies statistical methods to medical data and research. Biostatistics specifically applies statistical methods to biological data. Statistics is essential for medical research, updating medical knowledge, data management, describing research findings, and evaluating health programs. It allows comparison of populations, risks, treatments, and more.
This document discusses the introduction and scope of statistics. It begins by defining statistics as relating to numerical facts and data. It notes that Florence Nightingale was the first nurse statistician, using statistical evidence to improve healthcare. Statistics is then defined as a branch of mathematics dealing with collecting, organizing, analyzing, and presenting numerical data to correctly interpret information. The scope of statistics in nursing is described for areas like anatomy, physiology, pharmacology, and public health. Finally, the scope of statistics is discussed in other fields such as social sciences, planning, mathematics, economics, and business management.
1. The document discusses a lecture on biostatistics including topics like introduction to statistics, exploratory tools for univariate data, probabilities and distribution curves, and sampling distribution of estimates.
2. It provides examples of different types of data like qualitative vs quantitative and discrete vs continuous data. It also discusses different scales of measurement.
3. Biostatistics is defined as the application of statistical methods to biological and health-related studies and it is widely used in areas like epidemiology, public health, and clinical research.
Definition, functions, scope, limitations of statistics; diagrams and graphs; basic definitions and rules for probability, conditional probability and independence of events.
Chapter 1 Introduction to statistics, Definitions, scope and limitations.pptxSubashYadav14
This document provides an introduction to statistics, including definitions, scope, and limitations. It defines statistics as both numerical facts and the methods used to collect, analyze, and interpret those facts. Several authors' definitions of statistics are presented, emphasizing that statistics are aggregates of numerically expressed or estimated facts affected by multiple causes and collected systematically. The functions of statistics are described as simplifying data, enabling comparisons, and guiding policy decisions. The importance of statistics in fields like planning, business, economics, administration, and agriculture is discussed. Descriptive and inferential statistics are briefly introduced, as are some limitations of statistical analysis.
This document discusses the role and importance of statistics in scientific research. It begins by defining statistics as the science of learning from data and communicating uncertainty. Statistics are important for summarizing, analyzing, and drawing inferences from data in research studies. They also allow researchers to effectively present their findings and support their conclusions. The document then describes how statistics are used and are important in many fields of scientific research like biology, economics, physics, and more. It also provides examples of statistical terms commonly used in research studies and some common misuses of statistics.
1. The document discusses the meaning, uses, functions, importance and limitations of statistics. It defines statistics as the collection, presentation, analysis and interpretation of numerical data.
2. Statistics has various uses across different fields such as policy planning, management, education, commerce and accounts. It helps present facts precisely and enables comparison, correlation, formulation and testing of hypotheses, and forecasting.
3. While statistics is important for planning, administration, economics and more, it also has limitations such as only studying aggregates, numerical data, and being an average. Statistics can also be misused if not used carefully by experts.
Statistics is the collection and analysis of data. There are two main branches: descriptive statistics, which organizes and summarizes data, and inferential statistics, which uses descriptive statistics to make predictions. Statistics starts with a question and uses data to provide information to help make decisions. It is widely used in business, health, education, research, social sciences, and natural resources.
This document provides an introduction and overview of statistics. It discusses that statistics refers to both the collection and analysis of quantitative data, as well as the scientific methods used. The document outlines the key stages of statistics including data collection, organization, presentation, analysis and interpretation. It also discusses the nature of statistics as both a science and an art. The subject matter is divided into descriptive and inferential statistics. Limitations, scope, functions and importance of statistics are also summarized.
Statistics is the science of collecting, organizing, and analyzing data to draw meaningful conclusions. There are two broad categories of statistics: descriptive statistics, which presents data through tables and graphs without inferences, and inferential statistics, which uses mathematical tools to make forecasts by analyzing given data. Quantitative data has numerical values and can be either discrete, taking specific values, or continuous, taking any value in a range, while qualitative data uses words or categories instead of numbers.
Statistics is the science of collecting, organizing, summarizing, analyzing, and interpreting data. It has its origins in Latin and other languages and refers to quantitative aspects of data management and meaningful interpretation. Statistics can be used in both plural and singular senses - referring either to numerical data or the methods used to analyze data. It is useful for converting random data into understandable information to aid in decision making. Statistics has important applications in business, government, industry, economics, and other fields for functions like presenting information simply, comparing facts, formulating policies, and forecasting.
Statistics is the collection, organization, analysis, and presentation of data. It has become important for professionals, scientists, and citizens to make sense of large amounts of data. Statistics are used across many disciplines from science to business. There are two main types of statistical methods - descriptive statistics which summarize data through measures like the mean and median, and inferential statistics which make inferences about populations based on samples. Descriptive statistics describe data through measures of central tendency and variability, while inferential statistics allow inferences to be made from samples to populations through techniques like hypothesis testing.
Analysis of statistical data in heath information managementSaleh Ahmed
This document discusses analysis of statistical data in health information management. It defines key terms like statistics, descriptive statistics, inferential statistics. It describes the different types of health statistics including vital statistics, morbidity statistics, and health service statistics. It also discusses how to calculate rates like crude rates and specific rates that are important measures for analyzing health data. Finally, it covers different methods for presenting statistical data, including tables, graphs, pie charts and histograms. The overall aim is to emphasize the importance of properly collecting, analyzing and presenting health statistics for effective healthcare planning and decision making.
This document provides an overview of statistics for social work research. It defines statistics as the science of developing knowledge through empirical data expressed quantitatively, based on probability theory. Statistics involves collecting, summarizing, and analyzing numerical data. Descriptive statistics summarize and describe data, while inferential statistics model patterns in data to draw inferences about populations. The document discusses the characteristics, functions, scope, limitations, and potential misuse of statistics.
This document provides an introduction to statistics. It defines statistics as the science of collecting, organizing, analyzing, and drawing conclusions from data. Data is defined as facts or figures collected for a specific purpose. The document outlines the characteristics of statistics and discusses the functions, scope and limitations of statistics. It also distinguishes between primary and secondary data, discrete and continuous data, and descriptive and inferential statistics.
This document provides an introduction to statistics. It defines statistics as the scientific methods for collecting, organizing, summarizing, presenting and analyzing data to derive valid conclusions. Statistics is useful across many fields and careers as it helps make informed decisions based on data. The document outlines descriptive and inferential statistics, and notes that descriptive statistics simplifies complexity while inferential statistics allows for conclusions to be drawn. It also discusses types of data sources, including primary data collected directly and secondary data that has already been collected.
This document defines statistics as the collection, analysis, interpretation, and presentation of quantitative data. It discusses key statistical terms like variables, constants, observations, data, populations, samples, parametric and nonparametric tests. Notations for populations and samples are also covered. The document outlines the scope of statistics in fields like planning, economics, business, industry, mathematics, science, psychology, education, war, banking, astronomy, and sociology. It describes the functions and advantages of statistics, as well as some disadvantages.
1. The document discusses the introduction to statistics, providing definitions and explaining key concepts. It describes how statistics is used in various fields like education, business, medical research, and agriculture.
2. Statistics is defined as the science of collecting, organizing, summarizing, presenting, analyzing, and interpreting data. It can be used as both a science and an art. Statistics has various applications in fields like administration, business, education, and medical and agricultural research.
3. The document outlines the basic terminology used in statistics, including data, variables, observations, quantitative and qualitative data, continuous and discrete variables. It distinguishes between primary and secondary data and their characteristics.
Statistics is the study of collecting, organizing, summarizing, and interpreting data. Medical statistics applies statistical methods to medical data and research. Biostatistics specifically applies statistical methods to biological data. Statistics is essential for medical research, updating medical knowledge, data management, describing research findings, and evaluating health programs. It allows comparison of populations, risks, treatments, and more.
This document discusses the introduction and scope of statistics. It begins by defining statistics as relating to numerical facts and data. It notes that Florence Nightingale was the first nurse statistician, using statistical evidence to improve healthcare. Statistics is then defined as a branch of mathematics dealing with collecting, organizing, analyzing, and presenting numerical data to correctly interpret information. The scope of statistics in nursing is described for areas like anatomy, physiology, pharmacology, and public health. Finally, the scope of statistics is discussed in other fields such as social sciences, planning, mathematics, economics, and business management.
Information and Communication Technology in EducationMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 2)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐈𝐂𝐓 𝐢𝐧 𝐞𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧:
Students will be able to explain the role and impact of Information and Communication Technology (ICT) in education. They will understand how ICT tools, such as computers, the internet, and educational software, enhance learning and teaching processes. By exploring various ICT applications, students will recognize how these technologies facilitate access to information, improve communication, support collaboration, and enable personalized learning experiences.
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐬𝐨𝐮𝐫𝐜𝐞𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐢𝐧𝐭𝐞𝐫𝐧𝐞𝐭:
-Students will be able to discuss what constitutes reliable sources on the internet. They will learn to identify key characteristics of trustworthy information, such as credibility, accuracy, and authority. By examining different types of online sources, students will develop skills to evaluate the reliability of websites and content, ensuring they can distinguish between reputable information and misinformation.
Brand Guideline of Bashundhara A4 Paper - 2024khabri85
It outlines the basic identity elements such as symbol, logotype, colors, and typefaces. It provides examples of applying the identity to materials like letterhead, business cards, reports, folders, and websites.
How to Download & Install Module From the Odoo App Store in Odoo 17Celine George
Custom modules offer the flexibility to extend Odoo's capabilities, address unique requirements, and optimize workflows to align seamlessly with your organization's processes. By leveraging custom modules, businesses can unlock greater efficiency, productivity, and innovation, empowering them to stay competitive in today's dynamic market landscape. In this tutorial, we'll guide you step by step on how to easily download and install modules from the Odoo App Store.
3. Introduction –
The word statistics conveys a variety of meanings to people in different walks of life. To some, it could be
an imposing form of mathematics containing tables, charts and figures, which one can commonly find
in newspapers, journals, books, reports, speeches, classroom lectures, etc.
To others, statistics can be the means to gather information about any group, activity, characteristic or a
process whether it is production, population, national income, etc., that is expressed in numbers.
The root of the word statistics comes from the Italian word statista (meaning 'statesman') and the German
word statistik (meaning 'political state').
It was for the first time used by Gottfried Achenwall.
It has been used to indicate facts and figures of any kind - health statistics, trade statistics, business statistics,
and so on. It is also used to refer to a body of knowledge known as statistical methods, developed for
handling data in general, particularly in the field of experimentation and research.
Every day we are exposed to a wide array of numerical information, which often has a pro found impact on
our lives.
Example - There are 933 females per 1000 males.
4. Definitions -
Statistics can be defined as numerical data involving variability and treatment of such data.
"Statistics is defined as collection, presentation, analysis, and interpretation of numerical data'.
'Statistics means aggregate of facts affected to a marked extent by multiplicity of causes,
numerically expressed, enumerated or estimated according to reasonable standards of
accuracy, collected in systematic manner for a predetermined purpose and placed in
relation to each other'.
Statistics is the study of techniques and procedures for data collection, classification,
summarization, analyzing, and interpretation of the numerical data.
Biostatistics is the method used in dealing with statistics in the field of health sciences, such as
biology, medicine, nursing, public health, dentistry, pharmacy, and physical therapy.
5. Uses –
It presents facts in a definite form.
It facilitates comparisons.
It simplifies the masses of figures.
It helps in formulating and Testing hypothesis.
It helps in prediction.
6. Applications -
Applications of statistics in health sciences can be conceptualized into one of the
following categories -
Defining normal and not normal in context of various aspects related to health and
illness.
Establishing the accuracy of the diagnostic procedures.
Planning of experiments and analysis of results.
Observations on the natural history of a disease, namely its signs, symptoms, course,
variation, etc.
Assessment of treatment protocol and different interventions used for care and
treatment of the patients.
Collection, analysis, and dissemination of various population health statistics.
7. जीवन में असली उड़ान अभी बाकी है,
हमारे इराद ों का इम्तिहान अभी बाकी है,
अभी त नापी है बस मुट्ठी भर जमीन,
अभी त सारा आसमान बाकी है।