Interpretation of Data.pptx
•Download as PPTX, PDF•
0 likes•850 views
This presentation is about methods of data interpretation. it includes techniques usually used in the analysis of statistical data which may be qualitative or quantitative.
Report
Share
Report
Share
Recommended
Statistical analysis and its applications
Statistical analysis and its applications can be used in many fields including pharmaceutical research, clinical trials, public health, epidemiology, genetics, and demographics. Some key uses of statistics include evaluating drug effects, comparing drug treatments, exploring associations between diseases and risk factors, and analyzing clinical trial and genomics data. Measures of central tendency, dispersion, and other statistical methodologies help researchers draw conclusions from collected data.
Steps in nursing research_vipin
steps in nursing research include several points
1) terminologies related to nursing research
2) phases of nursing research
3) conceptual phase
4) planning phase
5) analytic phase
6) communication phase
Tabulation of data
This document discusses tabulation, which is the process of organizing and presenting statistical data in a table with rows and columns. It describes the key parts of a table including the title, stubs, column headings, body, source and footnotes. The document outlines different types of tables such as simple, double and complex tables. It also explains the differences between classification and tabulation, and highlights the importance of tabulation for summarizing, comparing and analyzing data in a clear format.
Data analysis & interpretation
The data, collected for research, has to be processed, analyzed and interpreted to develop a solution to the research question.
Data analysis is a practice in which unorganized or unfinished data is ordered and organized so that useful information can be extracted from it.
It is the most enjoyable part of carrying out the research since after all of the hard works and waiting the researcher gets the chance to find out the answers. So analyzing the data and interpreting the results are the “reward” for the work of collecting the data.
Hisrorical evelotion and trends in nursing research
AS AN NURSE THIS IS MY CONTRIBUTION TO ALL MY FELLOW NURSES SO THAT THEY GET AN OPPORTUNITY TO UNDERSTAND AND LEARN ABOUT THE HISTORICAL DEVELOPMENT OF NURSING AND FUTURE TRENDS IN NURSING.
Research process quantitative and qualitative
The document outlines the steps in conducting qualitative research, including: 1) identifying a broad research problem area and objectives; 2) reviewing literature to gain preliminary information; 3) entering the research setting and contacting key informants; 4) selecting a small, qualitative sample and semi-structured data collection tools; 5) collecting data through interviews and observations while building rapport; 6) organizing and analyzing data through techniques like coding and thematic analysis; and 7) disseminating findings in publications or presentations.
Unit 1 nursing research MSc Nursing
The document discusses various topics related to nursing research including the definition, purposes, types, and process of research. It examines key concepts like basic and applied research, quantitative and qualitative approaches, and evidence-based practice. The document also explores trends, challenges, and priorities in nursing research.
Statistical software packages
Statistics is the discipline dealing with the collection, manipulation, analysis, and interpretation of data to draw conclusions and make decisions. Statistical software packages are essential tools that allow statisticians to efficiently analyze large datasets using computers for simulation, data storage, calculations, analysis, and presentation of results. Some common statistical software packages include Excel, which supports basic statistical functions, and more specialized packages like Costat, Minitab, SAS, SPSS, and R, which provide advanced statistical analysis capabilities.
Recommended
Statistical analysis and its applications
Statistical analysis and its applications can be used in many fields including pharmaceutical research, clinical trials, public health, epidemiology, genetics, and demographics. Some key uses of statistics include evaluating drug effects, comparing drug treatments, exploring associations between diseases and risk factors, and analyzing clinical trial and genomics data. Measures of central tendency, dispersion, and other statistical methodologies help researchers draw conclusions from collected data.
Steps in nursing research_vipin
steps in nursing research include several points
1) terminologies related to nursing research
2) phases of nursing research
3) conceptual phase
4) planning phase
5) analytic phase
6) communication phase
Tabulation of data
This document discusses tabulation, which is the process of organizing and presenting statistical data in a table with rows and columns. It describes the key parts of a table including the title, stubs, column headings, body, source and footnotes. The document outlines different types of tables such as simple, double and complex tables. It also explains the differences between classification and tabulation, and highlights the importance of tabulation for summarizing, comparing and analyzing data in a clear format.
Data analysis & interpretation
The data, collected for research, has to be processed, analyzed and interpreted to develop a solution to the research question.
Data analysis is a practice in which unorganized or unfinished data is ordered and organized so that useful information can be extracted from it.
It is the most enjoyable part of carrying out the research since after all of the hard works and waiting the researcher gets the chance to find out the answers. So analyzing the data and interpreting the results are the “reward” for the work of collecting the data.
Hisrorical evelotion and trends in nursing research
AS AN NURSE THIS IS MY CONTRIBUTION TO ALL MY FELLOW NURSES SO THAT THEY GET AN OPPORTUNITY TO UNDERSTAND AND LEARN ABOUT THE HISTORICAL DEVELOPMENT OF NURSING AND FUTURE TRENDS IN NURSING.
Research process quantitative and qualitative
The document outlines the steps in conducting qualitative research, including: 1) identifying a broad research problem area and objectives; 2) reviewing literature to gain preliminary information; 3) entering the research setting and contacting key informants; 4) selecting a small, qualitative sample and semi-structured data collection tools; 5) collecting data through interviews and observations while building rapport; 6) organizing and analyzing data through techniques like coding and thematic analysis; and 7) disseminating findings in publications or presentations.
Unit 1 nursing research MSc Nursing
The document discusses various topics related to nursing research including the definition, purposes, types, and process of research. It examines key concepts like basic and applied research, quantitative and qualitative approaches, and evidence-based practice. The document also explores trends, challenges, and priorities in nursing research.
Statistical software packages
Statistics is the discipline dealing with the collection, manipulation, analysis, and interpretation of data to draw conclusions and make decisions. Statistical software packages are essential tools that allow statisticians to efficiently analyze large datasets using computers for simulation, data storage, calculations, analysis, and presentation of results. Some common statistical software packages include Excel, which supports basic statistical functions, and more specialized packages like Costat, Minitab, SAS, SPSS, and R, which provide advanced statistical analysis capabilities.
Tabulation
This document discusses tabulation, which is the logical presentation of numerical data in rows and columns to simplify presentation and facilitate comparisons. It defines tabulation and lists its advantages. It also describes the different types of tabulation (simple, complex), parts of a table (number, title, captions, stubs, body, footnotes, sources), and types of tables (simple/one-way, two-way, manifold). Merits include presenting complex data clearly and compactly while facilitating comparisons, and demerits are limitations on qualitative data and description.
CINAHL
This document provides an overview of how to search and use key features of the Cumulative Index of Nursing and Allied Health Literature database. It describes how to perform keyword and subject heading searches, place articles in folders, email citations, and set up a MyEBSCOhost personal account to save searches and set up alerts. Key features covered include searching by keyword, choosing subject headings, viewing and narrowing search results, adding items to folders, output and sharing options, and creating a personal account to save searches and set up automated alerts.
statistical analysis
This document provides an overview of statistical analysis for nursing research. It defines key terms like statistics, data analysis, and population. It outlines the specific objectives of understanding statistical analysis and applying it to nursing research skillfully. It also describes the various types of statistical analysis including descriptive statistics, inferential statistics, parametric and nonparametric tests. Finally, it discusses the steps in statistical analysis, available computer programs, uses of statistical analysis in different fields including nursing, and advantages and disadvantages of statistical analysis.
Sampling and Data Collection
This presentation explains samping and data collection that you need when you conduct a research. The presentation prepared based on Ary et al.
Data analysis
Its about data analysis and report writing....Presented at St Andrew's College at Bandra on 22nd Jan 2014
Classification of data
This document discusses different types of data classification. It defines classification as systematically grouping data based on common characteristics. There are several ways to classify data, including by the nature of the variable (e.g. quantitative, qualitative), source of collection (e.g. primary, secondary), presentation (e.g. grouped, ungrouped), and content (e.g. simple, manifold). Examples are provided for each type of classification.
Sample and sampling techniques
The document provides information on various sampling techniques used in research. It defines key terms like population, sample, sampling, and element. It describes different probability sampling techniques like simple random sampling, stratified random sampling, systematic random sampling, and cluster sampling. It also covers non-probability sampling techniques such as purposive sampling and convenience sampling. The document discusses the purposes, processes, merits, and limitations of different sampling methods.
presentation on Sampling
This document discusses sampling in research. It defines sampling as selecting a subset of a population to study and generalize findings to the larger group. Key terms are defined, like population, target population, sample, and sampling frame. The purposes of sampling are described as making research more economical, improving data quality, allowing for quicker study results, and increasing precision and accuracy. Characteristics of a good sample and factors influencing the sampling process are also outlined. In conclusion, sampling is an important part of research that aims to select a representative portion of a population to study.
Data Collection Methods - Nursing Research
This document discusses various data collection methods and tools used in nursing research. It describes primary and secondary data collection methods. Primary methods involve directly collecting data from subjects through surveys, interviews, observations or physiological measurements. Secondary methods use existing data collected for other purposes. Some advantages of primary methods are they can be tailored to research needs and ensure completeness of data, while disadvantages include being time-consuming. Common data collection tools discussed include questionnaires, interviews and physiological measurements. Different types of interviews like unstructured, semi-structured and structured are also described.
Tabulation
This document discusses different types of tabulation methods for presenting data. It defines tabulation as the systematic organization of data in rows and columns. The document outlines several types of tables including simple or one-way tables, complex/two-way tables, three-way tables, and manifold tables. It provides examples to illustrate tables organized by one, two, three or more characteristics. The purpose of tabulation is to simplify complex data and make it easier to understand, analyze and compare.
Analysis of data
The document discusses data analysis and provides details about:
- The steps involved in quantitative data analysis including data preparation, description, inference drawing, and interpretation.
- The different scales of measurement - nominal, ordinal, interval, and ratio - and their properties.
- Descriptive statistics used to organize and summarize data such as measures of central tendency, dispersion, and relationship.
- Methods for condensing data including frequency distribution tables, contingency tables, and graphs.
Methods of data collection
Data are numerical facts collected systematically for research purposes. Economists study phenomena and draw conclusions from collected data. There are two main sources of information: primary and secondary data. Primary data involves collecting original data directly from sources for a specific research purpose, such as through observation, interviews, questionnaires, or schedules. Secondary data refers to data that was originally collected by someone else for another purpose and has been published, such as government publications, journals, or reports.
True experimental research design
True experimental research designs aim to establish causal relationships. They have four key elements: manipulation of the independent variable, use of control groups, random assignment of subjects to conditions, and random selection of subjects. Randomized controlled trials are a type of true experiment that are considered the gold standard for determining cause and effect. Common true experimental designs include pre-test post-test control group designs, post-test only control group designs, and Solomon four-group designs.
Sampling
This document discusses sampling and different sampling techniques. It begins by defining key terminology like population, sample, sampling frame, etc. It then describes different types of populations and the purposes of sampling, which include being economical, improving data quality, and allowing for quicker study results.
The document outlines the steps in the sampling process, which include identifying the target population, establishing a sampling frame, specifying the sampling unit and size, and selecting the sample. It also discusses factors that can influence the sampling process.
Finally, it describes different sampling techniques, distinguishing between probability and non-probability sampling. It provides details on specific probability techniques like simple random sampling, stratified random sampling, and cluster sampling.
Overview research process
Quantitative and qualitative research are two formal approaches to research. Quantitative research involves collecting and analyzing numerical data to establish relationships between variables, while qualitative research uses subjective interpretation to understand human experiences. Both approaches involve identifying a research problem, reviewing literature, collecting and analyzing data, and disseminating findings, but they differ in how variables are defined, what type of data is collected, and how that data is analyzed.
Data analysis and Interpretation
Data analysis involves working with datasets to uncover patterns and trends, while data interpretation explains those patterns and trends. Data collection is the systematic recording of information.
Statstics in nursing
The document provides an overview of statistics as used in nursing research. It defines statistics as the science of making effective use of numerical data through collection, analysis, and interpretation. There are two main types of statistics: descriptive statistics which organize and summarize sample data, and inferential statistics which help determine if study outcomes are due to planned factors or chance. Key concepts covered include frequency distributions, measures of central tendency, variability, correlation, hypothesis testing, estimation, t-tests, chi-square tests, and analysis of variance procedures.
Types of Variables
This document defines and provides examples of different types of variables:
- Dependent variables are affected by independent variables. Independent variables are presumed to influence other variables.
- Intervening/mediating variables are caused by the independent variable and themselves cause the dependent variable.
- Organismic variables are personal characteristics used for classification.
- Control/constant variables are not allowed to change during experiments.
- Variables can also be interval, ratio, nominal/categorical, ordinal, dummy, preference, multiple response, or extraneous.
Pilot study
A pilot study as on experimental exploratory, test , preliminary , trial or try out investigation.
A trial study carried out before a research design is finalized to assist in defining the research questions or to test the feasibility, reliability and validity of proposed study design.
A small scale study conducted to test the plan and method of a research study.
Nursing research
This document provides an overview of nursing research. It begins by outlining the objectives of the lecture, which are to define nursing research, discuss the role of nurses in research participation, and review the different types of research methods. It then discusses the importance of nursing research, highlighting that evidence-based practice relies on research evidence. It also outlines the different roles nurses can play in research, from critiquing studies as BSNs to leading independent research as doctorally-prepared nurses. Finally, it reviews the major types of research methods, including quantitative, qualitative, and outcomes research, providing examples of each.
Data analysis aug-11
The document discusses various methods for analyzing and interpreting data. It describes descriptive analysis which helps summarize data patterns. Statistical analysis techniques like clustering, regression, and cohorts are explained. Inferential analysis makes judgments about differences between groups. Qualitative and quantitative methods are outlined for interpreting data through coding and establishing relationships. The purpose of data analysis and interpretation is to answer research questions and determine trends to support decision making.
Data Presentation & Analysis.pptx
Data Presentation & Analysis Meaning, Stages of data analysis, Quantitative & Qualitative data analysis methods, Descriptive & inferential methods of data analysis
More Related Content
What's hot
Tabulation
This document discusses tabulation, which is the logical presentation of numerical data in rows and columns to simplify presentation and facilitate comparisons. It defines tabulation and lists its advantages. It also describes the different types of tabulation (simple, complex), parts of a table (number, title, captions, stubs, body, footnotes, sources), and types of tables (simple/one-way, two-way, manifold). Merits include presenting complex data clearly and compactly while facilitating comparisons, and demerits are limitations on qualitative data and description.
CINAHL
This document provides an overview of how to search and use key features of the Cumulative Index of Nursing and Allied Health Literature database. It describes how to perform keyword and subject heading searches, place articles in folders, email citations, and set up a MyEBSCOhost personal account to save searches and set up alerts. Key features covered include searching by keyword, choosing subject headings, viewing and narrowing search results, adding items to folders, output and sharing options, and creating a personal account to save searches and set up automated alerts.
statistical analysis
This document provides an overview of statistical analysis for nursing research. It defines key terms like statistics, data analysis, and population. It outlines the specific objectives of understanding statistical analysis and applying it to nursing research skillfully. It also describes the various types of statistical analysis including descriptive statistics, inferential statistics, parametric and nonparametric tests. Finally, it discusses the steps in statistical analysis, available computer programs, uses of statistical analysis in different fields including nursing, and advantages and disadvantages of statistical analysis.
Sampling and Data Collection
This presentation explains samping and data collection that you need when you conduct a research. The presentation prepared based on Ary et al.
Data analysis
Its about data analysis and report writing....Presented at St Andrew's College at Bandra on 22nd Jan 2014
Classification of data
This document discusses different types of data classification. It defines classification as systematically grouping data based on common characteristics. There are several ways to classify data, including by the nature of the variable (e.g. quantitative, qualitative), source of collection (e.g. primary, secondary), presentation (e.g. grouped, ungrouped), and content (e.g. simple, manifold). Examples are provided for each type of classification.
Sample and sampling techniques
The document provides information on various sampling techniques used in research. It defines key terms like population, sample, sampling, and element. It describes different probability sampling techniques like simple random sampling, stratified random sampling, systematic random sampling, and cluster sampling. It also covers non-probability sampling techniques such as purposive sampling and convenience sampling. The document discusses the purposes, processes, merits, and limitations of different sampling methods.
presentation on Sampling
This document discusses sampling in research. It defines sampling as selecting a subset of a population to study and generalize findings to the larger group. Key terms are defined, like population, target population, sample, and sampling frame. The purposes of sampling are described as making research more economical, improving data quality, allowing for quicker study results, and increasing precision and accuracy. Characteristics of a good sample and factors influencing the sampling process are also outlined. In conclusion, sampling is an important part of research that aims to select a representative portion of a population to study.
Data Collection Methods - Nursing Research
This document discusses various data collection methods and tools used in nursing research. It describes primary and secondary data collection methods. Primary methods involve directly collecting data from subjects through surveys, interviews, observations or physiological measurements. Secondary methods use existing data collected for other purposes. Some advantages of primary methods are they can be tailored to research needs and ensure completeness of data, while disadvantages include being time-consuming. Common data collection tools discussed include questionnaires, interviews and physiological measurements. Different types of interviews like unstructured, semi-structured and structured are also described.
Tabulation
This document discusses different types of tabulation methods for presenting data. It defines tabulation as the systematic organization of data in rows and columns. The document outlines several types of tables including simple or one-way tables, complex/two-way tables, three-way tables, and manifold tables. It provides examples to illustrate tables organized by one, two, three or more characteristics. The purpose of tabulation is to simplify complex data and make it easier to understand, analyze and compare.
Analysis of data
The document discusses data analysis and provides details about:
- The steps involved in quantitative data analysis including data preparation, description, inference drawing, and interpretation.
- The different scales of measurement - nominal, ordinal, interval, and ratio - and their properties.
- Descriptive statistics used to organize and summarize data such as measures of central tendency, dispersion, and relationship.
- Methods for condensing data including frequency distribution tables, contingency tables, and graphs.
Methods of data collection
Data are numerical facts collected systematically for research purposes. Economists study phenomena and draw conclusions from collected data. There are two main sources of information: primary and secondary data. Primary data involves collecting original data directly from sources for a specific research purpose, such as through observation, interviews, questionnaires, or schedules. Secondary data refers to data that was originally collected by someone else for another purpose and has been published, such as government publications, journals, or reports.
True experimental research design
True experimental research designs aim to establish causal relationships. They have four key elements: manipulation of the independent variable, use of control groups, random assignment of subjects to conditions, and random selection of subjects. Randomized controlled trials are a type of true experiment that are considered the gold standard for determining cause and effect. Common true experimental designs include pre-test post-test control group designs, post-test only control group designs, and Solomon four-group designs.
Sampling
This document discusses sampling and different sampling techniques. It begins by defining key terminology like population, sample, sampling frame, etc. It then describes different types of populations and the purposes of sampling, which include being economical, improving data quality, and allowing for quicker study results.
The document outlines the steps in the sampling process, which include identifying the target population, establishing a sampling frame, specifying the sampling unit and size, and selecting the sample. It also discusses factors that can influence the sampling process.
Finally, it describes different sampling techniques, distinguishing between probability and non-probability sampling. It provides details on specific probability techniques like simple random sampling, stratified random sampling, and cluster sampling.
Overview research process
Quantitative and qualitative research are two formal approaches to research. Quantitative research involves collecting and analyzing numerical data to establish relationships between variables, while qualitative research uses subjective interpretation to understand human experiences. Both approaches involve identifying a research problem, reviewing literature, collecting and analyzing data, and disseminating findings, but they differ in how variables are defined, what type of data is collected, and how that data is analyzed.
Data analysis and Interpretation
Data analysis involves working with datasets to uncover patterns and trends, while data interpretation explains those patterns and trends. Data collection is the systematic recording of information.
Statstics in nursing
The document provides an overview of statistics as used in nursing research. It defines statistics as the science of making effective use of numerical data through collection, analysis, and interpretation. There are two main types of statistics: descriptive statistics which organize and summarize sample data, and inferential statistics which help determine if study outcomes are due to planned factors or chance. Key concepts covered include frequency distributions, measures of central tendency, variability, correlation, hypothesis testing, estimation, t-tests, chi-square tests, and analysis of variance procedures.
Types of Variables
This document defines and provides examples of different types of variables:
- Dependent variables are affected by independent variables. Independent variables are presumed to influence other variables.
- Intervening/mediating variables are caused by the independent variable and themselves cause the dependent variable.
- Organismic variables are personal characteristics used for classification.
- Control/constant variables are not allowed to change during experiments.
- Variables can also be interval, ratio, nominal/categorical, ordinal, dummy, preference, multiple response, or extraneous.
Pilot study
A pilot study as on experimental exploratory, test , preliminary , trial or try out investigation.
A trial study carried out before a research design is finalized to assist in defining the research questions or to test the feasibility, reliability and validity of proposed study design.
A small scale study conducted to test the plan and method of a research study.
Nursing research
This document provides an overview of nursing research. It begins by outlining the objectives of the lecture, which are to define nursing research, discuss the role of nurses in research participation, and review the different types of research methods. It then discusses the importance of nursing research, highlighting that evidence-based practice relies on research evidence. It also outlines the different roles nurses can play in research, from critiquing studies as BSNs to leading independent research as doctorally-prepared nurses. Finally, it reviews the major types of research methods, including quantitative, qualitative, and outcomes research, providing examples of each.
What's hot (20)
Similar to Interpretation of Data.pptx
Data analysis aug-11
The document discusses various methods for analyzing and interpreting data. It describes descriptive analysis which helps summarize data patterns. Statistical analysis techniques like clustering, regression, and cohorts are explained. Inferential analysis makes judgments about differences between groups. Qualitative and quantitative methods are outlined for interpreting data through coding and establishing relationships. The purpose of data analysis and interpretation is to answer research questions and determine trends to support decision making.
Data Presentation & Analysis.pptx
Data Presentation & Analysis Meaning, Stages of data analysis, Quantitative & Qualitative data analysis methods, Descriptive & inferential methods of data analysis
Data Analysis
The document provides an overview of data analysis concepts and methods for qualitative and quantitative data. It discusses topics such as descriptive statistics, measures of central tendency and spread. It also covers inferential statistics concepts like ANOVA, ANCOVA, regression, and correlation. Both the advantages and disadvantages of qualitative data analysis are presented. The document is a presentation on research methodology focusing on data analysis.
Brm unit iv - cheet sheet
This document discusses various topics related to data preparation and analysis, including editing, coding, data entry, validity of data, qualitative vs quantitative analysis, bivariate and multivariate statistical techniques like multiple regression, factor analysis, discriminant analysis, cluster analysis, multidimensional scaling, and the application of statistical software like SAS, SPSS, and R. It provides an overview of key concepts and steps involved in preparing data for analysis and using different statistical methods to analyze the relationships between variables.
Topic interpretation of data and its analysis
This document discusses interpretation and analysis of data in research. It defines interpretation as drawing inferences from collected facts after analysis to find broader meaning. Interpretation considers relationships within data and relates findings to other research. Effective interpretation requires considering all relevant factors and avoiding false generalizations. Data analysis organizes and models data to discover useful information for decision making. It distinguishes between quantitative data analyzed statistically and qualitative data analyzed through interviews, documents, and observation. Both interpretation and analysis are important for extracting meaningful insights from data.
Seminario
This document discusses different methods for analyzing data from various types of research. It describes analyzing qualitative research data by identifying and sorting text segments into categories. Descriptive research data is analyzed using descriptive statistics like frequencies, averages and variability. Correlational research examines relationships between quantifiable variables using techniques like correlation. Multivariate research analyzes multiple independent variables simultaneously through methods such as multiple regression, discriminant analysis, and factor analysis. Experimental research data can be analyzed using t-tests to compare means between groups and one-way analysis of variance to examine differences between multiple groups.
.Analyzing data
This document discusses techniques for qualitative and quantitative data analysis. Qualitative data analysis deals with non-numerical data like words or text, while quantitative data uses numerical data. Some qualitative techniques include analyzing unstructured observations, interviews, records and documents to identify and sort relevant text segments. Quantitative techniques include descriptive statistics like frequencies, measures of central tendency, and variability for descriptive research, and correlational techniques, multiple regression, discriminant analysis and factor analysis for multivariate research. Different research designs require different analysis methods such as t-tests, analysis of variance, and factorial analysis of variance.
Data Analysis & Interpretation and Report Writing
Statistical Methods for Data Analysis (Only Theory), Meaning of Interpretation, Technique of Interpretation, Significance of Report Writing, Steps, Layout of Research Report, Types of Research Reports, Precautions while writing research reports
Media research
The document discusses various aspects of media research methodology. It outlines the steps involved including defining the research problem, developing objectives and hypotheses, reviewing literature, deciding the research design, collecting and analyzing data, and developing conclusions. It also discusses different research approaches and methods that can be used including experimental, exploratory, descriptive, case studies, surveys, and content analysis. The key aspects of ensuring rigorous media research are emphasized.
STATISTICS.pptx
Please acknowledge my work and I hope you like it. This is not boring like other ppts you see, I have tried my best to make it extremely informative with lots of pictures and images, I am sure if you choose this as your presentation for statistics topic in your office or school, you are surely going to appreciated by all including your teachers, friends, your interviewer or your manager.
Research design decisions and be competent in the process of reliable data co...
Research Design may be described as the researchers scheme of outlining the flow of his project. It is based on research design, that the researcher goes about gathering data to answer his research question. It enables the researcher to prioritize his work, create better questionnaires and arrive at conclusions with greater clarity. Statswork offers statistical services as per the requirements of the customers. When you Order statistical Services at Statswork, we promise you the following – Always on Time, outstanding customer support, and High-quality Subject Matter Experts.
Learn More: http://bit.ly/2S312hb
Why Statswork?
Plagiarism Free | Unlimited Support | Prompt Turnaround Times | Subject Matter Expertise | Experienced Bio-statisticians & Statisticians | Statistics Across Methodologies | Wide Range Of Tools & Technologies Supports | Tutoring Services | 24/7 Email Support | Recommended by Universities
Contact Us:
Website: www.statswork.com/
Email: info@statswork.com
UnitedKingdom: +44-1143520021
India: +91-4448137070
WhatsApp: +91-8754446690
·Quantitative Data Analysis StatisticsIntroductionUnd.docx
·
Quantitative Data Analysis: Statistics
Introduction
Understanding the use of basic statistical strategies is part of being a critical consumer of published research literature. Unless they plan to conduct research themselves, it is not as important for counselors to understand the mathematical calculations of the statistical techniques as it is to be able to recognize the names of the common ones and what kind of information they provide. There are several commercially-available software packages for analyzing quantitative data, one of which is described in detail in Chapter 14 of
Counseling Research: Quantitative, Qualitative, and Mixed Methods
.
Descriptive and Inferential Statistics
In quantitative studies, statistical techniques are used for data analysis. The two main categories of statistics are descriptive and inferential. Descriptive statistics are used to summarize the data. Some common descriptive statistics are the measures of central tendency: the mean, median, and mode. They provide information about where the middle is in distribution of scores. On the normal distribution, the mean, median, and mode are the same. Distributions are said to be skewed when extreme scores draw the mean away from the middle of the distribution. Measures of variability, such as the range, variance, and standard deviation, provide information about how widely a distribution of scores is dispersed (Erford, 2015, p. 250). The standard deviation is a measure of how the scores cluster around the mean. The greater the standard deviation, the greater the spread of scores.
Toggle DrawerHide Full Introduction
Inferential statistics are used to make inferences from the sample to the population. All inferential statistical procedures are based on probability theory. They are used to test hypotheses. Three commonly used inferential statistics are chi square, t-test, and analysis of variance (ANOVA). Chi square is used with nominal data to determine if the observed expected frequency differs significantly from the expected frequency. A t-test is used to determine whether there is a statistically significant difference between the means of two groups. ANOVA is used to determine whether there is a statistically significant difference between the means of three or more groups.
Statistical Significance
When a quantitative study tests a hypothesis, it is technically the null hypothesis being tested. The null hypothesis says there is no difference between the groups, or relationship between the variables (depending on the research design). If the statistical procedure indicates there is statistical significance, the null hypothesis is rejected, meaning that the probability is high that there really is a group difference or strong relationship between the variables.
Rejecting the null hypothesis is not equivalent to proving the research or alternative hypothesis. Researchers can embrace the research hypothesis as one plausible explanation, but because only .
Analyzing data
The document discusses various techniques for analyzing qualitative and quantitative data in research. It describes different types of statistical analysis that can be used for organizing, summarizing, and drawing conclusions from data, including descriptive statistics, correlation analysis, multivariate analysis techniques like multi regression analysis, discriminant analysis and factor analysis. It also discusses using t-tests to analyze experimental research data by comparing experimental and control groups.
Analyzing data
The document discusses various techniques for analyzing qualitative and quantitative data in research. It describes different types of statistical analysis that can be used for organizing, summarizing, and drawing conclusions from data, including descriptive statistics, correlation analysis, and multivariate techniques like multi regression analysis, discriminant analysis, and factor analysis. It also addresses analyzing data from experimental research using statistical tests like the T-test to compare experimental and control groups.
Action research data analysis
The document discusses key steps in data analysis and interpretation for action research:
1) Data analysis involves summarizing collected data in an accurate manner depending on the type of data collected, such as using qualitative analysis for narrative data or quantitative analysis for numerical data.
2) Data interpretation finds meaning in the data by answering "So what?" and explaining trends, patterns, and relationships that emerge from the analysis.
3) Critical steps in analysis and interpretation include making data summaries, developing categories and coding, writing theoretical notes, quantification, and shaping metaphors to understand the data from different perspectives.
Presentation of BRM.pptx
This document provides an overview of data analysis and graphical representation. It discusses data analytics, statistics, quantitative and qualitative data, different types of graphical representations including line graphs, bar graphs and histograms. It also covers sampling design, types of sampling including probability and non-probability sampling, and measures of central tendency such as mean, median and mode.
RACFIntroduction to Evaluation
Evaluation aims to determine the value of a thing using both subjective, qualitative methods and objective, quantitative methods. There are several approaches to evaluation including accountability models which examine if original goals were met, due diligence models which focus on maintaining follow-up reporting, and participatory action models which make the evaluation process collaborative. Both quantitative methods like surveys and questionnaires, and qualitative methods like inductive coding, abstracting, and ethnography can be used in evaluation research.
Unit 8 data analysis and interpretation
The document discusses data analysis and interpretation. It describes the different scales of measurement used in data analysis including nominal, ordinal, interval, and ratio scales. It also discusses various methods used for interpreting qualitative and quantitative data, such as using statistical techniques like mean and standard deviation for quantitative data. Finally, it covers different visualization techniques used in data interpretation like bar graphs, pie charts, tables, and line graphs.
Analyzing the data
The document discusses different techniques for analyzing qualitative and quantitative data. It outlines several types of descriptive statistics that can be used to analyze descriptive research data, including frequencies, central tendencies, and variabilities. Correlational research data can be analyzed using correlations, while experimental research data can be analyzed using t-tests, analysis of variance, chi square tests, and other statistical analyses. Multivariate research makes use of multiple regression, discriminant analysis, and factor analysis to examine relationships between multiple variables. The appropriate analysis depends on the type of research design used.
Lesson 6 chapter 4
Data analysis involves understanding known facts or assumptions to draw conclusions about research questions. There are two main types of data analysis: qualitative and quantitative. Qualitative analysis examines subjective data like thoughts, feelings, and attitudes expressed in words, collected through interviews and observations. Quantitative analysis deals with numerical data, using statistical techniques to summarize relationships between variables. Both types of analysis require coding, organizing, and interpreting large amounts of data to understand the relevant information.
Similar to Interpretation of Data.pptx (20)
Research design decisions and be competent in the process of reliable data co...
Research design decisions and be competent in the process of reliable data co...
·Quantitative Data Analysis StatisticsIntroductionUnd.docx
·Quantitative Data Analysis StatisticsIntroductionUnd.docx
Recently uploaded
一比一原版马来西亚博特拉大学毕业证（upm毕业证）如何办理
原版一模一样【微信：741003700 】【马来西亚博特拉大学毕业证（upm毕业证）成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理马来西亚博特拉大学毕业证（upm毕业证）【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理马来西亚博特拉大学毕业证（upm毕业证）【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理马来西亚博特拉大学毕业证（upm毕业证）【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理马来西亚博特拉大学毕业证（upm毕业证）【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版(uob毕业证书)伯明翰大学毕业证如何办理
原版一模一样【微信：6496090 】【(uob毕业证书)伯明翰大学毕业证成绩单】【微信：6496090 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微6496090
【主营项目】
一.毕业证【q微6496090】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微6496090】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(uob毕业证书)伯明翰大学毕业证【微信：6496090 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(uob毕业证书)伯明翰大学毕业证【微信：6496090 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(uob毕业证书)伯明翰大学毕业证【微信：6496090 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(uob毕业证书)伯明翰大学毕业证【微信：6496090 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Overview IFM June 2024 Consumer Confidence INDEX Report.pdf
Overview IFM June 2024 Consumer Confidence INDEX Report.pdf
一比一原版加拿大渥太华大学毕业证（uottawa毕业证书）如何办理
原版一模一样【微信：741003700 】【渥太华大学毕业证（uottawa毕业证书）成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理渥太华大学毕业证（uottawa毕业证书）【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理渥太华大学毕业证（uottawa毕业证书）【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理渥太华大学毕业证（uottawa毕业证书）【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理渥太华大学毕业证（uottawa毕业证书）【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版莱斯大学毕业证（rice毕业证）如何办理
原版一模一样【微信：741003700 】【莱斯大学毕业证（rice毕业证）成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理莱斯大学毕业证（rice毕业证）【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理莱斯大学毕业证（rice毕业证）【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理莱斯大学毕业证（rice毕业证）【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理莱斯大学毕业证（rice毕业证）【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
原版办【微信号:BYZS866】【兰加拉学院毕业证(Langara毕业证书)】【微信号:BYZS866】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号BYZS866】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号BYZS866】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(曼大毕业证书)曼尼托巴大学毕业证如何办理
原版一模一样【微信：741003700 】【(曼大毕业证书)曼尼托巴大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(曼大毕业证书)曼尼托巴大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(曼大毕业证书)曼尼托巴大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(曼大毕业证书)曼尼托巴大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(曼大毕业证书)曼尼托巴大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Drownings spike from May to August in children
Did you know that drowning is a leading cause of unintentional death among young children? According to recent data, children aged 1-4 years are at the highest risk. Let's raise awareness and take steps to prevent these tragic incidents. Supervision, barriers around pools, and learning CPR can make a difference. Stay safe this summer!
一比一原版(Sheffield毕业证书)谢菲尔德大学毕业证如何办理
原版制作【微信:41543339】【(Sheffield毕业证书)谢菲尔德大学毕业证】【微信:41543339】《成绩单、外壳、雅思、offer、留信学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器一制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Cell The Unit of Life for NEET Multiple Choice Questions.docx
celltheunitoflife
ribosomes
thegolgi
nuclearmembrane
cilia
phragmoplast
ML-PPT-UNIT-2 Generative Classifiers Discriminative Classifiers
Generative Classifiers: Classifying with Bayesian decision theory, Bayes’ rule, Naïve Bayes classifier.
Discriminative Classifiers: Logistic Regression, Decision Trees: Training and Visualizing a Decision Tree, Making Predictions, Estimating Class Probabilities, The CART Training Algorithm, Attribute selection measures- Gini impurity; Entropy, Regularization Hyperparameters, Regression Trees, Linear Support vector machines.
原版一比一爱尔兰都柏林大学毕业证(UCD毕业证书)如何办理
原版制作【微信:41543339】【爱尔兰都柏林大学毕业证(UCD毕业证书)】【微信:41543339】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
DSSML24_tspann_CodelessGenerativeAIPipelines
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
一比一原版爱尔兰都柏林大学毕业证(本硕）ucd学位证书如何办理
原版一模一样【微信：741003700 】【爱尔兰都柏林大学毕业证(本硕）ucd成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理爱尔兰都柏林大学毕业证(本硕）ucd学位证书【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理爱尔兰都柏林大学毕业证(本硕）ucd学位证书【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理爱尔兰都柏林大学毕业证(本硕）ucd学位证书【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理爱尔兰都柏林大学毕业证(本硕）ucd学位证书【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版斯威本理工大学毕业证（swinburne毕业证）如何办理
原版一模一样【微信：741003700 】【斯威本理工大学毕业证（swinburne毕业证）成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理斯威本理工大学毕业证（swinburne毕业证）【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理斯威本理工大学毕业证（swinburne毕业证）【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理斯威本理工大学毕业证（swinburne毕业证）【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理斯威本理工大学毕业证（swinburne毕业证）【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Discovering Digital Process Twins for What-if Analysis: a Process Mining Appr...
This webinar discusses the limitations of traditional approaches for business process simulation based on had-crafted model with restrictive assumptions. It shows how process mining techniques can be assembled together to discover high-fidelity digital twins of end-to-end processes from event data.
Recently uploaded (20)
Overview IFM June 2024 Consumer Confidence INDEX Report.pdf
Overview IFM June 2024 Consumer Confidence INDEX Report.pdf
Cell The Unit of Life for NEET Multiple Choice Questions.docx
Cell The Unit of Life for NEET Multiple Choice Questions.docx
ML-PPT-UNIT-2 Generative Classifiers Discriminative Classifiers
ML-PPT-UNIT-2 Generative Classifiers Discriminative Classifiers
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
Econ3060_Screen Time and Success_ final_GroupProject.pdf
Econ3060_Screen Time and Success_ final_GroupProject.pdf
Discovering Digital Process Twins for What-if Analysis: a Process Mining Appr...
Discovering Digital Process Twins for What-if Analysis: a Process Mining Appr...
Interpretation of Data.pptx
- 1. Interpretation of Data DATA REVIEW AND CONCLUSION MAKING Prepared By: Tahoor Qadeer Department of Chemical Engineering University of Karachi
- 2. What is data interpretation Data interpretation refers to the process of using diverse analytical methods to review data and arrive at relevant conclusions. The interpretation of data helps researchers to categorize, manipulate, and summarize the information in order to answer critical questions.
- 3. How To Interpret Data When interpreting data, an analyst must try to discern the differences between correlation, causation, and coincidences, as well as much other bias. There are two methods of data interpretation. 1. Qualitative Data Interpretation. 2. Quantitative Data Interpretation.
- 4. Qualitative Data Interpretation Qualitative data analysis can be summed up in one word – categorical. data is not described through numerical values or patterns, but through the use of descriptive context. data is gathered by employing a wide variety of person-to-person techniques. These techniques include:
- 5. Observations: detailing behavioral patterns that occur within an observation group. These patterns could be the amount of time spent in an activity, the type of activity, and the method of communication employed. Focus groups: Group people and ask them relevant questions to generate a collaborative discussion about a research topic.
- 6. Secondary Research: much like how patterns of behavior can be observed, different types of documentation resources can be coded and divided based on the type of material they contain. Interviews: one of the best collection methods for narrative data. Inquiry responses can be grouped by theme, topic, or category. The interview approach allows for highly-focused data segmentation.
- 7. Quantitative Data Interpretation If quantitative data interpretation could be summed up in one word that word would be “numerical.” Quantitative analysis refers to a set of processes by which numerical data is analyzed. it involves the use of statistical modeling such as standard deviation, mean and median.
- 8. Mean: A mean represents a numerical average for a set of responses. When dealing with a data set (or multiple data sets), a mean will represent a central value of a specific set of numbers. It is the sum of the values divided by the number of values within the data set. Standard deviation: This is another statistical term commonly appearing in quantitative analysis. Standard deviation reveals the distribution of the responses around the mean. It describes the degree of consistency within the responses; together with the mean, it provides insight into data sets.
- 9. Frequency distribution: This is a measurement gauging the rate of a response appearance within a data set. When using a survey, for example, frequency distribution has the capability of determining the number of times a specific ordinal scale response appears (i.e., agree, strongly agree, disagree, etc.).
- 10. “ ” Our problems are not with the data, itself, but arise from our interpretation of the data. BRUCE H. LIPTON Thanks