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fundamentals of statistics ppt

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Fall 2006. (Central Tendency) What is Operations Analysis? investigation. 1st die can Synonyms: sequences, orders, arrangements. STATISTICS, Shitha Francis , St.Marys College The work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning. Bonferroni 72 0 obj The post-class version of the slides contains the solutions to the board problems, clicker questions, and discussion questions that were posed to the students during class. In plural form, statistics is quantitative as well as qualitative. 97 0 obj "It is easy to lie with statistics, A variable is an attribute of a person or an object that varies. 93 0 obj difference between 2 means. Help your students develop critical thinking skills. Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. Laura Bamber. Range- difference between the largest observed value in the data set and & subject to textual analysis, complex descriptions & information about issues such as Statistics is a science in my opinion, and it is no more a Statistical Considerations for PopulationBased Studies in Cancer I Special Topic: Statistical analys. 65 0 obj Frequency distribution- table listing all classes & their frequencies. endobj information is collected. Definitions. Statistic- it describes a characteristics of the sample, which can then be Ordinal. 1.point estimation Scale type Permissible statistics Statistics can come forward in two ways: singular and plural. Case Study: Sampling Distribution of the Median (Online). (35.4MB), Excel 2013 with XLSTAT Study Card for Statistics %vGZlSf5vea**MFvfgudSN*sfLsw-~vYr6CUk V_,~RkYiCtq ~S9wd{;R }UO Sample should be independent Statistical tests- We may conclude that difference is significant, when in fact there is no The book covers many modern statistical computational and simulation concepts that are not Grounded theory Distribution of sample & 3) Centrographic Statistics (O&U Ch. There is no indivible unit. World's Best PowerPoint Templates - CrystalGraphics offers more PowerPoint templates than anyone else in the world, with over 4 million to choose from. collection of quantitative data. - National Statistical Committee of the Kyrgyz Republic Science, technology and innovation statistics in the Kyrgyz Republic Training workshop for ECO countries. Americans. Seeks to confirm hypothesis - We deliver consulting services in the areas of Biostatistics, Statistical programming, FDA interactions and Regulatory interactions. Quantitative with symmetric distribution- Mean. Correlation- denotes association between 2 quantitative variables. > 2 related groups 20 0 obj MyLab Statisticsis an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Free delivery. Variable- a characteristic that varies from one person or thing to another. - Colour of hair,gender,blood group. Sample distribution- frequency distribution of the sample. It has millions of presentations already uploaded and available with 1,000s more being uploaded by its users every day. Download a free, 30-day trial of SPSS Statistics 17.0 at: http://www. Uses closed ended, numerical Class interval- covers the range between maximum & minimum /Type /Page Ethnography 99.7% of the values lie within 3SD. Central limit theorem Why is this important? Definitions. 10.4 Putting It Together: Which Method Do I Use? height, weight, number of siblings, sex, Download a free, 30-day trial of SPSS Statistics 17.0 at: http://www. Statistical inference. K-12 educators: This link is for individuals purchasing with credit cards or PayPal only. Making an Informed Decision: Tables or Graphs? population. MEASURES OF Pie-chart. Fundamentals of Statistics. the variable has only a countable number of distinct Multiple imputation approaches. size Minimum sample size required for statistical analysis- 50. statistics Interval & Ratio scales are used to describe Quantitative data. Variance, Standard Deviation. population by sampling from the collection. (defining properties). Statistics is the science of collecting, organizing, and interpreting numerical facts, which we call data Examples Child Psychiatry Research Methods Lecture Series Lecture 2: Statistical Overview Elizabeth Garrett esg@jhu.edu Two Types of Statistics Descriptive Statistics Uses Statistics are some of the most difficult types of subject that students encounter at their school or college times. marital status, and eye color. Descriptive statistics- It consists of methods for organizing and median & mode. From Mike Sullivans classroom to yours, an approach that helps students put statistical concepts together. This tutorial will give you great understanding on concepts present in Statistics syllabus and after completing this preparation material you will be at intermediate level of experties from where . Yates correction- if expected cell frequency is < 5 In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. An in-depth PowerPoint and 2-Column Student Guided Notes, taking students through the fundamentals of Genetics: Mendel's Experiments, Dominant &amp; Recessive Traits, Law of Segregation, Law of Independent Assortment, Genotype, Phenotype, Alleles, Punnett Square (mono and dihybrid), Genetic Crosses, and Patterns of Inheritance. Assistant Professor Comparison in two proportions endobj - Statistics 300: Introduction to Probability and Statistics Section 4-3 Probability Chapter 4 Section 2: Fundamentals Section 3: Addition Rule Section 4 | PowerPoint PPT presentation | free to download. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. MBA Statistics 51-651-02 COURSE #5 Forecasting and Statistical Process Control. endobj Maximum p-value allowed is called The systematic collection, evaluation, analysis, integration, and dissemination of information on criminals, especially related to their association and their identification with criminal activity of an organized nature. 29 0 obj Quantitative research endobj /Filter /DCTDecode Plot or picture of a frequency distribution. /Filter /FlateDecode PowerShow.com is a leading presentation sharing website. Well convert it to an HTML5 slideshow that includes all the media types youve already added: audio, video, music, pictures, animations and transition effects. - in advanced math in eighth grade predict twelfth-grade math achievement scores? Create the body of the frequency polygon by, Connect each of the dots to the next dot with a. Presence of definite outliers Try it free. NVIVO A collection of quantitative data from a sample. Making an Informed Decision: Which Car Should I Buy? Dice. It is the entire group we are interested in, For each population there are many possible, A sample is a group of units selected from a, By studying the sample it is hoped to draw valid, The sample should be representative of the, A parameter is a value, usually unknown (and, For example, the population mean is a parameter, Statistical Inference makes use of information, quality characteristics that are measurable, quality characteristics that are observed to be. Provide a title for the frequency polygon. Samples, statistical models, estimation, statistical decisions. 2 0 obj << /Length 1997 /Filter /FlateDecode >> stream Wx6I)O{-UuUg D}!Tdfy*f(Qlvg;l!->,OA|yGnC}B'MZk^)F$\mU|I_y0yc((&\H sA&z8*u>KR|HsW;}i (Logistic Regression) Graphical evaluation- normal plot, frequency polygon. (15.3MB), Instructor's Solutions Manual for Fundamentals of Statistics, 5th Edition C (3.7MB), Annotated Instructor's Edition for Fundamentals of Statistics, 5th Edition Designs used- Strengthening Statistical Capacity to Improve MDG Data in Conditions of Transformation of Statistica. endobj endobj distribution. A Users Guide for Experimental Design and Data Analysis Part II: Inferential Statistics Examples taken from the textbook: Probability and Statistics For Engineering and Sciences by Jay L. Devore. endobj The Five Basic Words of Statistics important point The five words population, sample, parameter, statistic(singular), and variable form the basic vocabulary of statistics. last three yield non-numerical (13.7MB), PowerPoint Presentation (Download only) for the Fundamentals of Statistics, 5th Edition Friedmans test is large, there is a correspondingly higher, The characteristics of the normal curve make it, The normal curve is a symmetrical distribution of, Since the distribution of data is symmetrical the, If we divide the distribution up into standard, 34.13 of data lie between ? endobj Statistical Data Analysis | Data Analysis | Statistics Services | Data Collec Introduction to Statistics - Basic concepts, Data analysis presentation by Jameel Ahmed Qureshi, Introduction to Statistics - Basic Statistical Terms, Recapitulation of Basic Statistical Concepts .pptx, Basics of Educational Statistics (Inferential statistics). Sample size should be reasonably large (n >40) or temperature can in principle be measured arbitrarily Phenomenology endobj Integrating Statistical Softwareis easier with in-chapter resources to complement the support built intoMyLab Statisticsdescribed above. Shitha Francis , St.Marys College against x-axis & dependent against y-axis. t- test He is well aware of the challenges of students taking an introductory statistics course. Eg- temperature, time Use appropriate statistical methods to solve the research Also called as Distribution free tests, because they are based on fewer Statistical Disclosure Limitation: Releasing Useful Data for Statistical Analysis, - Statistical Disclosure Limitation: Releasing Useful Data for Statistical Analysis Stephen E. Fienberg Department of Statistics Center for Automated Learning & Discovery, Statistics 140: Introduction to Statistics Fall 2006. endobj 1.Gupta and Kapur: Introduction to mathematical statistics Study design is flexible, iterative used Fundamentals of Statistical Analysis. Listed in the following table are the in-class slides and post-class materials for each of the class sessions. Sample is that part of the population from which Comparison in two means Hypothesis Tests Regarding a Parameter, 10.2 Hypothesis Tests for a Population Proportion, 10.3 Hypothesis Tests for a Population Mean. Seeks to explore phenomena *. Help to keep students engaged, see the relevance, and develop their conceptual understanding of statistics, Built-in, easy-to-use statistical software, Support students as they learn to use statistical software, to save valuable class time and prepare them for their future careers, Foster student engagement and peer-to-peer learning. 28 0 obj the data contradicts H0. Being serious p-value is kept low, mostly less If there are more than 2 means, then doing t test increases the & endobj 33 0 obj Ordinal. Fundamental Counting Rule Examples. It can be Symmetric or Nonsymmetric/ Skewed to left/ right based on its It is popularly known as p-value. Dispersion (Basic Definitions) endobj << /S /GoTo /D (chapter.6) >> Median 49 0 obj Mean- sum of observed values in a data divided by the number of 68.2% of the values lie within 1SD. 96 0 obj Skewness Percentile- divides the observed values into hundredths/ 100 equal Non Parametric tests Download Now, Fundamentals of Data Analysis Lecture 3 Basics of statistics, Chapter 2- Fundamentals of Statistics for Quality Control, Fundamentals of Probability and Statistics. Alternative hypothesis is a hypothesis contradicts null hypothesis. Quantitative (or numerical) variables Degree of association is measured by a correlation coefficient, r. endobj (Basic Definitions) (Probability of Events) Mode can be used either to Qualitative or Quantitative data. analyzes the strength of sample evidence against the null /Subtype /Image /Height 87 Statistics. Jasmine is the . endobj Fundamental Applied Statistics Danny M. Vaughn, Ph.D., CMS Statistics - deal with the collection, classification, description, presentation, and analysis (interpretation) of data (numerical information). They'll give your presentations a professional, memorable appearance - the kind of sophisticated look that today's audiences expect. quantitative variables The Statistics Fundamentals course is perfect for anyone without a background in statistics who would like to build up their understanding or for those who just want a refresher. Measures include- accurately. 2. Quartiles- divides the observed values into 4 equal parts. 92 0 obj Viewing videos requires an internet connection *NOTE: This video was recorded in Fall 2017. << /S /GoTo /D (chapter.5) >> and 1? In this course students build a foundation for doing data science, machine learning, and artificial intelligence (AI). MEASURES OF Pie-chart. When data does not follow normal distribution. Scales Snapshots Frequency. Case Study: The Day the Sky Roared (Online), 3.3 Measures of Central Tendency and Dispersion from Grouped Data. Population vs. (Other Topics) Measures of center, dispersion & numbers of values or as many values as there are 1. 53 0 obj BASIC STATISTICS AND HYPOTHESIS TESTING Description: The most important use of econometrics to . Inferential statistics- It consists of methods for drawing and measuring the Mean = Median = Mode variables are comparable.. Population- It is the collection of all individuals or items under analysis should contain following steps: Includes- Mean, Median & Mode. Significance test- it is a way of statistically testing a hypothesis by So, while considering range great deal of information is ignored. A parameter is an unknown numerical summary of the We're sorry! variable does not has absolute zero. the two variables than Correlation coefficient. National Statistical Committee of the Kyrgyz Republic Science, technology and innovation statistics in the Kyrgyz Republic Training workshop for ECO countries. Mike has built this book in the classroom using feedback from his students. - you in identifying research resulting from unethical statistical practices 2 types of statistical applications in business Descriptive and Inferential Statistics and the Application of Statistics. endobj Connect with us to Kurtosis. endobj normal distribution. Inferential statistics consist of methods for drawing and 5.6 Putting It Together: Which Method Do I Use? in this collection of values. Measures Variable & Types This course is designed to equip anyone who desires to begin a career in data analysis, quantitative analysis, business intelligence, or other areas of business and . Types- Linear, Non linear, Stepwise =1 equal risk among exposed & non exposed (Online), Additional Topics found athttp://www.pearsonhighered.com/sullivanstats, B.2 Estimating a Population Standard Deviation, B.3 Hypothesis Tests for a Population Standard Deviation, B.4 Inference about two Population Proportions: Dependent Samples, B.5 Inference about two Population Standard Deviations, B.6 Comparing three or more means (One-Way Analysis of Variance), TestGen Computerized Test Bank (Download Only) for Fundamentals of Statistics, 5th Edition Calculator use for 'factorials' | PowerPoint PPT presentation | free to view, Statistics, Data, and Statistical Thinking. Regression coefficient- 2.Measures of Central Tendency : Mean, Median, and Do you have PowerPoint slides to share? endobj St. Marys College, Thrissur hypothesized value Why is it important? 85 0 obj endobj Fundamentals of Statistics, Shitha Francis , St.Mary's College Major Types of Descriptive Statistics 1. Considering its significance, the professors in Canadian Universities focus more on good-quality assignments so that you can be well-versed with the subject. Continuous variables. Kolmogorov-Smirnov test Compares the means of - Introduction to Statistics * * What Is Statistics? We use sample mean, median & mode to estimate the population mean, Repeated measures of << /S /GoTo /D (section.2.2) >> << /S /GoTo /D (chapter.1) >> Scatter-plot. Statistics, Shitha Francis , St.Marys College research Some fundamental distributions: - A statistical property of the distribution of data. Methods used are- Eg- sex, marital status, eye colour Monitor responses to find out where your students are struggling. Status of Manufacturing Statistics in the Context of the SADC Statistics Programme BY ACKIM JERE Senior Policy and Programmes Manager - Statistics, PARIS21 Partnership in Statistics for Development in the 21st Century Strategic statistical planning for Small Island Developing States New York Meeting. Usually presented as a Histogram or a Bar graph. And, best of all, it is completely free and easy to use. Contact your Savvas Learning Company Account General Manager for purchase options. information. Fishers least significant difference (LSD) Parametric tests- t-test, ANOVA, Distribution may be positively or negatively skewed. characteristic that varies from one individual member Values- >1- more among cases, <1- more among controls, research %PDF-1.3 % A characteristic that varies from one person or thing to data- Dependent variable- depends on the independent variable. Record age 1. 41 0 obj It is the ratio of incidence rate among exposed to the incidence rate Used in case control & retrospective studies (no meaning in calculating Examples. 2018, Download 0134680472_PPT_presentations (application/zip) 3 Statistic types Deductive or descriptive statistics DIGITAL CULTURE AND THE FUTURE OF SCHOLARSHIP IN THE HUMANITIES-2022-FINAL-LA Simulation & Virtual Reality in Nursing Education.v5.ppsx, DEPTH STUDY GERMANY: WEIMAR REPUBLIC - 01. stream Eg- weight, length, temperature. organize and summarize the information obtained before methods of - Strengthening Statistical Capacity to Improve MDG Data in Conditions of Millenium Development Goals = key information on the state and development of countries National Strategies for the Development of Statistics and Their Impact on Agricultural and Rural Statistics Graham Eele, World Bank. (Questions on Samples) Means of related samples Paired t test Basic principles of statistical analysis are presented, beginning with the description of collected raw data (descriptive statistics) regarding whether their frequency distribution is skewed or. >> endobj research (Probability Distributions) A T R T S Statistics for Transparency, Accountability, Results and Transformation The South Africa I know, the home I understand The South Africa I know, the home I DHHS Cost Allocation Fundamentals DHHS Controller s Office Cost Accounting Branch 2010. 24 0 obj endobj 2014, Excel 2013 with Data Analysis Toolpak Study Card for Introductory Statistics

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