- 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.
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
This document provides an introduction to statistics, including definitions, reasons for studying statistics, and the scope and importance of statistics. It discusses how statistics is used in fields like insurance, medicine, administration, banking, agriculture, business, and sciences. It also outlines the main functions of statistics and its branches, including theoretical, descriptive, inferential, and applied statistics. Finally, it covers topics related to data representation, including methods of presenting data through tables, graphs, and diagrams.
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.
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 provides an overview of statistics as a field of study. It defines statistics as both the plural and singular form, describing aggregates of numerical data and the science dealing with collecting, organizing, and interpreting numerical data. The two main branches of statistics are described as descriptive statistics, which describes what is occurring in a data set, and inferential statistics, which allows making generalizations about a larger population based on a sample. Key terms like data, variables, population, sample, and parameter are also defined. The stages of a statistical investigation and applications, uses, and limitations of statistics are summarized.
1. Statistics is the science of collecting, analyzing, and interpreting quantitative data. It helps to summarize large data sets and make inferences about entire populations based on samples.
2. There are different types of statistical data including descriptive statistics, which summarize data, and inferential statistics, which are used to test hypotheses.
3. Statistics has many applications including use in research design, data analysis, and interpreting results in fields like biology, medicine, and public health. Proper collection and analysis of data is important for drawing accurate statistical conclusions.
Statistics Introduction class - Ist PPT For Nursing Student By - Mr. Ramkishor chopra For more classes join you YouTube channel - https://youtube.com/@NURSESTHERISINGSTAR
This document provides an introduction to biostatistics. It defines biostatistics as the application of statistical tools and concepts to data from biological sciences and medicine. The two main branches of statistics are described as descriptive statistics, which involves organizing and summarizing sample data, and inferential statistics, which involves generalizing from samples to populations. Several key statistical concepts are also defined, including populations, samples, variables, data types, levels of measurement, and common sampling methods. The objectives are to demonstrate knowledge of these fundamental statistical terms and concepts.
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.
The document discusses key concepts in biostatistics including probability distributions, random variables, and common distributions. It covers the binomial and Bernoullli distributions which describe variables that can take a limited number of outcomes. The binomial models the number of successes in a fixed number of trials while the Bernoullli models outcomes of a single trial. It also discusses variables that can be measured as continuous versus discrete and how distributions like the normal distribution describe populations of continuous variables. The document provides examples and definitions of important statistical terminology for understanding probability and variability in biological data.
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.
This document provides an overview of biostatistics. It defines biostatistics and discusses topics like data collection, presentation through tables and charts, measures of central tendency and dispersion, sampling, tests of significance, and applications of biostatistics in various medical fields. The document aims to introduce students to important biostatistical concepts and their use in research, clinical trials, epidemiology and other areas of medicine.
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.
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.
This document provides an overview of biostatistics. It defines biostatistics and discusses topics like data collection, presentation through tables and charts, measures of central tendency and dispersion, sampling, tests of significance, and applications in various medical fields. The key areas covered include defining variables and parameters, common statistical terms, sources of data collection, methods of presenting data through tabulation and diagrams, analyzing data through measures like mean, median, mode, range and standard deviation, sampling and related errors, significance tests, and uses of biostatistics in areas like epidemiology and clinical trials.
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 objectives and details about a biostatistics course. The general objective is to present numerical data in a way that allows for valid interpretations. Specific objectives include designing, organizing, and summarizing data, as well as understanding probabilities, statistical analyses, and how to make inferences about populations based on sample data. The course will cover topics like data collection and presentation, probability distributions, statistical inference through estimation and hypothesis testing, and determining sample sizes. Students will be evaluated based on exercises and a final exam. Computer software will be used to analyze data.
This document provides an introduction to statistics and biostatistics in healthcare. It defines statistics and biostatistics, outlines the basic steps of statistical work, and describes different types of variables and methods for collecting data. The document also discusses different types of descriptive and inferential statistics, including measures of central tendency, dispersion, frequency, t-tests, ANOVA, regression, and different types of plots/graphs. It explains how statistics is used in healthcare for areas like disease burden assessment, intervention effectiveness, cost considerations, evaluation frameworks, health care utilization, resource allocation, needs assessment, quality improvement, and product development.
This document provides an overview of biostatistics and its applications. It discusses the following key points:
- Biostatistics is used in public health, medicine, and population studies. It involves the collection, organization, analysis and interpretation of numerical health and medical data.
- Common statistical terms include variables, constants, observations, data, samples, parameters and tests. Biostatistics tools are used to analyze characteristics of populations and samples.
- Data can be collected from primary sources like experiments or surveys, and secondary sources like medical records. It is presented using tables, charts, diagrams and other visualizations to make it concise and meaningful.
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.
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.
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.
Happy May and Taurus Season.
♥☽✷♥We have a large viewing audience for Presentations. So far my Free Workshop Presentations are doing excellent on views. I just started weeks ago within May. I am also sponsoring Alison within my blog and courses upcoming. See our Temple office for ongoing weekly updates.
https://ldmchapels.weebly.com
♥☽About: I am Adult EDU Vocational, Ordained, Certified and Experienced. Course genres are personal development for holistic health, healing, and self care/self serve.
Statistics Introduction class - Ist PPT For Nursing Student By - Mr. Ramkishor chopra For more classes join you YouTube channel - https://youtube.com/@NURSESTHERISINGSTAR
This document provides an introduction to biostatistics. It defines biostatistics as the application of statistical tools and concepts to data from biological sciences and medicine. The two main branches of statistics are described as descriptive statistics, which involves organizing and summarizing sample data, and inferential statistics, which involves generalizing from samples to populations. Several key statistical concepts are also defined, including populations, samples, variables, data types, levels of measurement, and common sampling methods. The objectives are to demonstrate knowledge of these fundamental statistical terms and concepts.
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.
The document discusses key concepts in biostatistics including probability distributions, random variables, and common distributions. It covers the binomial and Bernoullli distributions which describe variables that can take a limited number of outcomes. The binomial models the number of successes in a fixed number of trials while the Bernoullli models outcomes of a single trial. It also discusses variables that can be measured as continuous versus discrete and how distributions like the normal distribution describe populations of continuous variables. The document provides examples and definitions of important statistical terminology for understanding probability and variability in biological data.
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.
This document provides an overview of biostatistics. It defines biostatistics and discusses topics like data collection, presentation through tables and charts, measures of central tendency and dispersion, sampling, tests of significance, and applications of biostatistics in various medical fields. The document aims to introduce students to important biostatistical concepts and their use in research, clinical trials, epidemiology and other areas of medicine.
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.
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.
This document provides an overview of biostatistics. It defines biostatistics and discusses topics like data collection, presentation through tables and charts, measures of central tendency and dispersion, sampling, tests of significance, and applications in various medical fields. The key areas covered include defining variables and parameters, common statistical terms, sources of data collection, methods of presenting data through tabulation and diagrams, analyzing data through measures like mean, median, mode, range and standard deviation, sampling and related errors, significance tests, and uses of biostatistics in areas like epidemiology and clinical trials.
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 objectives and details about a biostatistics course. The general objective is to present numerical data in a way that allows for valid interpretations. Specific objectives include designing, organizing, and summarizing data, as well as understanding probabilities, statistical analyses, and how to make inferences about populations based on sample data. The course will cover topics like data collection and presentation, probability distributions, statistical inference through estimation and hypothesis testing, and determining sample sizes. Students will be evaluated based on exercises and a final exam. Computer software will be used to analyze data.
This document provides an introduction to statistics and biostatistics in healthcare. It defines statistics and biostatistics, outlines the basic steps of statistical work, and describes different types of variables and methods for collecting data. The document also discusses different types of descriptive and inferential statistics, including measures of central tendency, dispersion, frequency, t-tests, ANOVA, regression, and different types of plots/graphs. It explains how statistics is used in healthcare for areas like disease burden assessment, intervention effectiveness, cost considerations, evaluation frameworks, health care utilization, resource allocation, needs assessment, quality improvement, and product development.
This document provides an overview of biostatistics and its applications. It discusses the following key points:
- Biostatistics is used in public health, medicine, and population studies. It involves the collection, organization, analysis and interpretation of numerical health and medical data.
- Common statistical terms include variables, constants, observations, data, samples, parameters and tests. Biostatistics tools are used to analyze characteristics of populations and samples.
- Data can be collected from primary sources like experiments or surveys, and secondary sources like medical records. It is presented using tables, charts, diagrams and other visualizations to make it concise and meaningful.
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.
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.
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.
Happy May and Taurus Season.
♥☽✷♥We have a large viewing audience for Presentations. So far my Free Workshop Presentations are doing excellent on views. I just started weeks ago within May. I am also sponsoring Alison within my blog and courses upcoming. See our Temple office for ongoing weekly updates.
https://ldmchapels.weebly.com
♥☽About: I am Adult EDU Vocational, Ordained, Certified and Experienced. Course genres are personal development for holistic health, healing, and self care/self serve.
How to Add Customer Note in Odoo 18 POS - Odoo SlidesCeline George
In this slide, we’ll discuss on how to add customer note in Odoo 18 POS module. Customer Notes in Odoo 18 POS allow you to add specific instructions or information related to individual order lines or the entire order.
All About the 990 Unlocking Its Mysteries and Its Power.pdfTechSoup
In this webinar, nonprofit CPA Gregg S. Bossen shares some of the mysteries of the 990, IRS requirements — which form to file (990N, 990EZ, 990PF, or 990), and what it says about your organization, and how to leverage it to make your organization shine.
The insect cuticle is a tough, external exoskeleton composed of chitin and proteins, providing protection and support. However, as insects grow, they need to shed this cuticle periodically through a process called moulting. During moulting, a new cuticle is prepared underneath, and the old one is shed, allowing the insect to grow, repair damaged cuticle, and change form. This process is crucial for insect development and growth, enabling them to transition from one stage to another, such as from larva to pupa or adult.
This slide is an exercise for the inquisitive students preparing for the competitive examinations of the undergraduate and postgraduate students. An attempt is being made to present the slide keeping in mind the New Education Policy (NEP). An attempt has been made to give the references of the facts at the end of the slide. If new facts are discovered in the near future, this slide will be revised.
This presentation is related to the brief History of Kashmir (Part-I) with special reference to Karkota Dynasty. In the seventh century a person named Durlabhvardhan founded the Karkot dynasty in Kashmir. He was a functionary of Baladitya, the last king of the Gonanda dynasty. This dynasty ruled Kashmir before the Karkot dynasty. He was a powerful king. Huansang tells us that in his time Taxila, Singhpur, Ursha, Punch and Rajputana were parts of the Kashmir state.
How to Configure Public Holidays & Mandatory Days in Odoo 18Celine George
In this slide, we’ll explore the steps to set up and manage Public Holidays and Mandatory Days in Odoo 18 effectively. Managing Public Holidays and Mandatory Days is essential for maintaining an organized and compliant work schedule in any organization.
Link your Lead Opportunities into Spreadsheet using odoo CRMCeline George
In Odoo 17 CRM, linking leads and opportunities to a spreadsheet can be done by exporting data or using Odoo’s built-in spreadsheet integration. To export, navigate to the CRM app, filter and select the relevant records, and then export the data in formats like CSV or XLSX, which can be opened in external spreadsheet tools such as Excel or Google Sheets.
How to Configure Scheduled Actions in odoo 18Celine George
Scheduled actions in Odoo 18 automate tasks by running specific operations at set intervals. These background processes help streamline workflows, such as updating data, sending reminders, or performing routine tasks, ensuring smooth and efficient system operations.
What makes space feel generous, and how architecture address this generosity in terms of atmosphere, metrics, and the implications of its scale? This edition of #Untagged explores these and other questions in its presentation of the 2024 edition of the Master in Collective Housing. The Master of Architecture in Collective Housing, MCH, is a postgraduate full-time international professional program of advanced architecture design in collective housing presented by Universidad Politécnica of Madrid (UPM) and Swiss Federal Institute of Technology (ETH).
Yearbook MCH 2024. Master in Advanced Studies in Collective Housing UPM - ETH
How to Create A Todo List In Todo of Odoo 18Celine George
In this slide, we’ll discuss on how to create a Todo List In Todo of Odoo 18. Odoo 18’s Todo module provides a simple yet powerful way to create and manage your to-do lists, ensuring that no task is overlooked.
This chapter provides an in-depth overview of the viscosity of macromolecules, an essential concept in biophysics and medical sciences, especially in understanding fluid behavior like blood flow in the human body.
Key concepts covered include:
✅ Definition and Types of Viscosity: Dynamic vs. Kinematic viscosity, cohesion, and adhesion.
⚙️ Methods of Measuring Viscosity:
Rotary Viscometer
Vibrational Viscometer
Falling Object Method
Capillary Viscometer
🌡️ Factors Affecting Viscosity: Temperature, composition, flow rate.
🩺 Clinical Relevance: Impact of blood viscosity in cardiovascular health.
🌊 Fluid Dynamics: Laminar vs. turbulent flow, Reynolds number.
🔬 Extension Techniques:
Chromatography (adsorption, partition, TLC, etc.)
Electrophoresis (protein/DNA separation)
Sedimentation and Centrifugation methods.
How to Manage Upselling in Odoo 18 SalesCeline George
In this slide, we’ll discuss on how to manage upselling in Odoo 18 Sales module. Upselling in Odoo is a powerful sales technique that allows you to increase the average order value by suggesting additional or more premium products or services to your customers.
pulse ppt.pptx Types of pulse , characteristics of pulse , Alteration of pulsesushreesangita003
what is pulse ?
Purpose
physiology and Regulation of pulse
Characteristics of pulse
factors affecting pulse
Sites of pulse
Alteration of pulse
for BSC Nursing 1st semester
for Gnm Nursing 1st year
Students .
vitalsign
1. Definitions related to statistics:-
Statistics:- is the collection of methods for planning experiments,
obtaining data, and then organizing, summarizing, presenting, analyzing,
interpreting, and drawing conclusions.
Or =Statistics is the study of the collection, analysis, interpretation, presentation, and
organization of data. Also Statistics is a branch of mathematics used to summarize,
analyze, and interpret a group of numbers or observations.
Variable:- is an element that can assume different values.
Population- is the inclusive group defined by researcher.
Sample:- is a subgroup of the population.
2. Types of Statistics:
Applied statistics can be divided into two areas: descriptive statistics and inferential statistics.
1-Descriptive statistics:
It consists of methods for organizing, displaying, and describing data by using
tables, graphs, and summary measures.
2-Inferential Statistics : consists of methods that use sample results to
help make decisions or predictions about a population.
Mathematical statistics:- Mathematical statistics is the application of
mathematics to statistics, which was originally conceived as the science
of the state.
Biostatistics :- is the application of the mathematical tools used in statistics to
the fields of biological sciences and medicine. Or
=Biostatistics is the application of statistics to a wide range of topics in biology.
=The science of biostatistics encompasses the design of biological
experiments, especially in medicine, pharmacy, and nursing; the
collection, summarization, and analysis of data from those experiments;
and the interpretation of, and inference from, the results. A major branch
of this is medical biostatistics, which is exclusively concerned with
medicine and health.
A biomedical scientist :
Biomedical scientist is a scientist trained in biology, particularly in the
context of medicine.
3. These scientists work to gain knowledge on the main principles of
how the human body works and to find new ways to cure or treat disease
by developing advanced diagnostic tools or new therapeutic strategies.
Biomedical scientists carry out a range of laboratory and scientific tests to
support the diagnosis and treatment of disease.
Many hospital departments could not function without them, including
operating theatres and accident and emergency departments.
Data: is the collection of information in the form of numerical figures,
regarding different aspects of life.
The data can be about population, birth, death, temperature of
place during a week, marks scored in the class, runs scored in different
matches, etc. We need to analyze this data.
For Example: The following table gives the data regarding the number
of students selecting for different activities.
Activities reading Music Art Sports
No. of
students
15 25 10 40
4. Or Data:- is a set of values of qualitative or quantitative variables;
restated, pieces of data are individual pieces of information. Data in
computing is represented in a structure that is often tabular (represented
by rows and columns), or a graph. Data is typically the result of
measurements and can be visualized using graphs or images.
Census: is a survey that includes all members of the population.
Concerns of biostatistics:-
Biostatistics is focused on:-
Collection, organization, summarization and analysis of data.
Drawing conclusions about a body of data.
WHY WE SHOULD STUDY STATISTICS ?
1. Knowledge in statistics provides the person with the necessary tools
to abstract information intelligently from this sea of data.
2. Statistics is investigating real problems in the practical world.
3. It used to analyze what is happening in the world around us.
4. It can be useful in predicting what may happen in the future such as
weather forecasts or predicting disease occurrence.
For example, studies have shown that 85 to 95 percent of lung cancers are
smoking related. The statistic should tell you that almost all lung cancers
are related to smoking and that if you want to have a good chance of
avoiding lung cancer, you shouldn't smoke.
5. 5. Statistics can be used in medical studies:- Scientists must show a
statistically valid rate of effectiveness before any drug can be prescribed.
6. The rate that an insurance company duties is based upon statistics from
all drivers in the person area.
7. Quality Testing:- Companies make thousands of products every day
and each company must make sure that a good quality item is sold. But a
company can't test each and every item that they ship to the consumer. So
the company uses statistics to test just a few, called a sample, of what
they make. If the sample passes quality tests, then the company assumes
that all the items made in the group are good.
8. Statistics used to forecast what is happening in the economy by
using the computer analytical programs.
6. Functions of statistics :
1. Presentation of data in a simple form
2. Comparison of health status of different localities and in
one locality at different times.
3. Diagnosis of a health problem in the community.
4. Evaluation of any health program eg vaccination