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By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. The application of statistical methods extracts information from . Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Statistics by Statistical Research and Training Center Philippine Statistical Association , Inc. (Power point presentation on the different concepts of Statistics) Elementary Statistics by Yonardo A. Gabuyo et. T value = difference between means standard error of difference T value then looked up in Table to determine significance, Paired T Tests Uses the change before and after intervention in a single individual Reduces the degree of variability between the groups Given the same number of patients, has greater power to detect a difference between groups. TI%)$IJB'mVl~~ {kc$N/^\p% I]zDdA h7+L$"H.1KaP Zs.emeni"^]WON/~whm{+?4sZ@2 !X(5Ze `gookv mp9@TX_Ku~K%goECcx:n;?(7 Overview. Activate your 30 day free trialto unlock unlimited reading. By accepting, you agree to the updated privacy policy. InternImage: Exploring Large-Scale Vision Foundation Models with Deformable C caissonsdisease-141212190240-conversion-gate01.pdf, GED260 Colorado Christian University Definition of Drug Addiction Paper.pdf, WTSFest 2023 - Data Storytelling, Lazarina Stoy. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Do not sell or share my personal information, 1. Medical Statistics Part-II:Inferential statistics, Parametric test - t Test, ANOVA, ANCOVA, MANOVA, Research method ch07 statistical methods 1, Inferential statistics quantitative data - anova, univariate and bivariate analysis in spss, Nursing care of patients having conduction disorders, Planning process, 5 year plan and commitee reports, Coronary circulation and fetal circulation, Biochemistry of blood in relation to cardio pulmonary function, Privileges, community programmes of aged people, General health assessment and history taking, Uses knowledge of text structure to glean the information he/she needs, College Achievement Certificates _ by Slidesgo.pptx, CONTEMPORARY ARTS IN THE REGION week 4-5.pptx, Class 9 Chapter 5 Euclid's geometry (Theorems and Problems)_Lecture 2.pdf, Class 9_Chapter 4_Linear equations in two variables, No public clipboards found for this slide, Enjoy access to millions of presentations, documents, ebooks, audiobooks, magazines, and more. One-sided vs. Two-sided Most tests should be framed as a two-sided test. types of data. We've updated our privacy policy. 12.1 - Summary of Statistical Techniques | STAT 500 Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Now customize the name of a clipboard to store your clips. }>@X'- (W? vORv[K? The independent variable is often seen as influencing, directly or indirectly, the dependent variable. By accepting, you agree to the updated privacy policy. By accepting, you agree to the updated privacy policy. (n1, Question 1 What is the mean number of steps to, We can do this sum by looking it up in a table OR. You can read the details below. Talk about Probabilities Average Properties, We are NOT concerned with the detailed behavior, An Isolated System is in Equilibrium when its, But, note! 7 Types of Statistical Analysis Techniques (And Process Steps) B^uuhm?}{].~}v_J;xogJY]@.)oqC? Sample Median Used to indicate the average in a skewed population Often reported with the mean If the mean and the median are the same, sample is normally distributed. - CHAPTER 3 Review of Statistics INTRODUCTION The creation of histograms and probability distributions from empirical data. You never know which directions study results will go. the spread of the u values about the mean u. al. Research Methods and Statistics - PowerPoint PPT Presentation - PowerShow Large data sets (Corpora) of natural languages allow using statistical methods that were not possible before Brown Corpus includes about 1000000 words with POS Uploaded on Jan 02, 2020 Kimberly A Buchanan + Follow probabilities 5 chance estimating probabilities lexical categories large data sets flies 21 44 0 Activate your 30 day free trialto continue reading. 1994. page 99 63 Tips 6 (b) P-value vs. 95CI (4) Adapted from Armitage, P. and Berry, G. Statistical methods in medical research. It is the middle value from an ordered listing of the values If an odd number of values, it is the middle value If even number of values, it is the average of the two middle values. A very large study might find that a difference of .1 on a VAS Scale of 0 to 10 is statistically significant but it may be of no clinical significance A large study might find many significant findings during multivariable analyses. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Introduction We are focusing on "quantitative analysis" The general idea is to summarize and analyze data so that it is useful for decision-making We do this by calculating "measures of central tendency" and by looking for relationships (We will NOT cover formal tests of hypotheses) Primary vs. secondary data sources Data on uses For example, tables or graphs are used to organize data, and descriptive values such as the average score are used to summarize data. Use a Statistical description of such a system. Methods of Collecting Data biomedical Signal processing ???????? Analysis of Variance Used to determine if two or more samples are from the same population- the null hypothesis. We had, m n1 n2 2n1 N. So, ltmgt 2ltn1gt, ?m m - ltmgt (2n1 N) (2ltn1gt - N) 2(n1, (?m)2 4(?n1)2. Would need to do pair-wise tests. We've encountered a problem, please try again. Statistical Methods. need to solve 1023, Quantum Schrdingers Equation ?? large data, Statistical Methods - . Statistical methods assist in classification in four ways: in devising probability models for data and classes so that probable classifications for a given set of data can be identified; in developing tests of validity of particular classes produced by a classification scheme; in comparing different classification schemes for effectiveness; and biostatistics 212 lecture 1. today. ADVANCED STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . Steps of Statistical Applications (Practical guides for beginners) Begin at the conclusion Identify the primary research question Identify . ` / 0 D A r i a l G r a n d e 0 P P \, O0 D L u c i d a G r a n d e 0 P P \, O0 @ . - PowerPoint PPT presentation Number of Views: 637 Avg rating:3.0/5.0 Slides: 67 Provided by: Charles7 Teaching Assistants: Katie Tranbarger & Scott Spicer, Y or unravel reasons/causes of - MAS1401 Statistical Methods An Introduction to Statistical Methods used in the Agricultural and Biological Sciences Lecturer: Dr David Walshaw School of Mathematics Statistics 202: Statistical Aspects of Data Mining, - Statistics 202: Statistical Aspects of Data Mining Professor David Mease Tuesday, Thursday 9:00-10:15 AM Terman 156 Lecture 13 = Finish Chapter 5 and Chapter 8, - Title: CHAPTER 6: LINEAR PROGRAMMING Author: chen_zhimin Last modified by: user Created Date: 10/20/2004 1:00:08 PM Document presentation format. This may lead to a negative study outcome in error. Statistical analysis - SlideShare chapter 7(7.1 &7.2): theory and application of the, An Intensive Course in Clinical Research Methods - . data sharing / standardization. In inferential statistics, we are generally using a sample. In her current role, she is involved with the collection and analysis of big data for institutional and pedagogical research, and presentation of findings to internal . With respect to use of research methodology, quantitative approach (78%) is popular in user studies followed by mixed methods (10%), qualitative (8%), and multimethod (4%). diana trandabat 2013-2014. cky parsing. Zhi Chen Civil Engineering PhD with great quantitative analysis skills actively seeking for a data scientist/analyst position Statistical Methods - SlideShare Measures of Central Tendency - Biostatstics, GCSE Geography: How And Why To Use Spearmans Rank, ppt on data collection , processing , analysis of data & report writing, CABT Math 8 measures of central tendency and dispersion, MEASURES OF CENTRAL TENDENCY AND MEASURES OF DISPERSION, Measures of central tendency and dispersion, STATISTICAL PROCEDURES (Discriptive Statistics).pptx, SHAYA'A OTHMAN MANAGEMENT & RESEARCH METHODOLOGY, Measures of central tendency ict integration, Continuing Our Look At Primary And Secondary Data, No public clipboards found for this slide, Enjoy access to millions of presentations, documents, ebooks, audiobooks, magazines, and more. The mean value of the deviation from the mean, Now, lets look at (?u)2 (u - ltugt)2 (square of, Its mean value is lt(?u)2gt lt(u - ltugt)2gt, ltu2gt - 2ltugtltugt (ltugt)2 ltu2gt - (ltugt)2, This is called the Mean Square Deviation (from. - biomedical Signal processing Chapter 1 Introduction Zhongguo Liu Biomedical Engineering School of Control Science and Engineering Analysing continuous data Parametric versus Non-parametric methods. And, again, its all free. If so, share your PPT presentation slides online with PowerShow.com. The SlideShare family just got bigger. If so, just upload it to PowerShow.com. data analysis techniques and statistical softwares. Zhi Chen - Milwaukee, Wisconsin, United States - LinkedIn Schedule Introduction Data Analysis--Introduction Data Collection Instruments Issues in Research Design Sample Size Sources of Error lt(?n1)2gt (in general). Activate your 30 day free trialto continue reading. Used with nominal data (better/ worse; dead/alive) If there is a substantial difference between observed and expected, then it is likely that the null hypothesis is rejected. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. collecting and describing data. After N steps, the particle is at position, Let n1 of steps to the right (of N), n2, Thus, if N is odd, so is m and if N is even, so, successive steps are statistically independent, Let p the probability of stepping to the right, Since each step is statistically independent, the, But, also, clearly, there are MANY different, The of distinct possibilities is the SAME as, 1st place Can be occupied any one of N ways, 2nd place Can be occupied any one of N - 1, 3rd place Can be occupied any one of N - 2, (N 1)th place Can be occupied only 2 ways, ? N. lt(?m)2gt lt(m - ltmgt)2gt in the net displacement? Quantitative vs. Qualitative: Methods and Process The scientific method, also known as a priori or pre-established design. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: Clinical Research Methods - . Well convert it to an HTML5 slideshow that includes all the media types youve already added: audio, video, music, pictures, animations and transition effects. P Values The probability that any observation is due to chance alone assuming that the null hypothesis is true Typically, an estimate that has a p value of 0.05 or less is considered to be statistically significant or unlikely to occur due to chance alone. Statistical Issues Designing Clinical Research - . STATISTICAL ANALYSIS It's FREE! Sample Mean Most commonly used measure of central tendency Best applied in normally distributed continuous data. PDF Introduction & Basics cocke-kasami-younger parsing algorithm: Statistical methods in NLP - . Statistical Methods in Clinical Research. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Arriving at the Junction of Statistics and Biology: My Journey {k68vX o F?5z[gfA)aU[x[~z ^SK&Kamis~ [] 5okev{\-p5}a0Ly O/;]/nEQ)Rllp.k$n-w87[W n)f3}u=[`9cf UhsH-"A Regression Based on fitting a line to data Provides a regression coefficient, which is the slope of the line Y = ax + b Use to predict a dependent variables value based on the value of an independent variable. Very helpful- In analysis of height and weight, for a known height, one can predict weight. If O(u) is any function of u, the mean value of, Some simple mean values that are useful for, This is a measure of the central value of u, Consider the quantity ?u u - u (deviation from, ? Role of Statistics in Research - Methods & Tools for Data Analysis For example, suppose we measure the weight of 100 patients in a study. Many of them are also animated. Create stunning presentation online in just 3 steps. making, Statistical Methods - Prognostic factors of survival in a randomized phase iii trial (mpact) of weekly nab -paclitaxel. GEOG: 3000- Advanced Geographic Chapter I:Introduction MIS 542 2014/2015 Fall, - Chapter I:Introduction MIS 542 2014/2015 Fall, Statistics: A Gentle Introduction By Frederick L. Coolidge, Ph.D. Sage Publications, - Statistics: A Gentle Introduction By Frederick L. Coolidge, Ph.D. Sage Publications Chapter 1 A Gentle Introduction Chapter 1*, UCLA STAT 13 Introduction to Statistical Methods. Qualitative Vs. Quantitative Research A step-wise guide to conduct research. Princy Francis M @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f h i j k l m n o p q r s t u v w x y z { | } ~ Fn KT XAYM( JFIF f f Exif MM * b j( 1 r2 i f f Adobe Photoshop CS Macintosh 2008:11:28 11:45:55 &( . Sometimes, u is called the 1st moment of P(u). gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: gnhall@darkwing.uoregon.edu. Explanatory & Response Variable in Statistics A quick guide for early career researchers! Is the most common value More frequently used to describe the distribution of data Uni-modal, bi-modal, etc. Standard Error Standard error of the mean Standard deviation / square root of (sample size) (if sample greater than 60) Standard error of the proportion Square root of (proportion X 1 - proportion) / n) Important: dependent on sample size Larger the sample, the smaller the standard error. Applications of Statistics in Research Bandit Thinkhamrop, Ph.D. (Statistics) Department of Biostatistics and Demography Faculty of Public Health Khon Kaen University. [A}?-wm}. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Statistics presents a rigorous scientific method for gaining insight into data. Sample Size Calculation Depends on: Level of Type I error: 0.05 typical Level of Type II error: 0.20 typical One sided vs two sided: nearly always two Inherent variability of population Usually estimated from preliminary data The difference that would be meaningful between the two assessment arms. The SlideShare family just got bigger. Table of contents Methods for collecting data Examples of data collection methods Methods for analyzing data Slide 1. ziad taib biostatistics astrazeneca march 7, 2012. types. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. collection, statistical analysis, and making appropriate inferences from the data. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Tap here to review the details. 3rd edition. - Chapter 15: Likelihood, Bayesian, and Decision Theory AMS 572 Group Members Yen-hsiu Chen, Valencia Joseph, Lola Ojo, Andrea Roberson, Dave Roelfs, - Chapter 1 Section 1 Introduction to the Practice of Statistics. Types of data Continuous data Theoretically infinite possible values (within physiologic limits) , including fractional values Height, age, weight Can be interval Interval between measures has meaning. Sample Mode Infrequently reported as a value in studies. - Chapter 9. Now customize the name of a clipboard to store your clips. Tentative date of next journal submission: For what are you most likely to depend on AI-assistance? So, the of distinct ways in which N objects, This is the same as the of distinct ways of, The probability WN(n1) of taking N steps, with, This probability distribution is called the, This is because the Binomial Expansion has the, We really want the probability PN(m) that x ml, PN(m) WN(n1). Clinical Research Methods - . Spies M.D., MPH Professor of Radiology Georgetown University School of Medicine Washington, DC, Overview Data types Summarizing data using descriptive statistics Standard error Confidence Intervals, Overview P values One vs two tailed tests Alpha and Beta errors Sample size considerations and power analysis Statistics for comparing 2 or more groups with continuous data Non-parametric tests, Overview Regression and Correlation Risk Ratios and Odds Ratios Survival Analysis Cox Regression, Further Study Medical Statistics Made Easy M. Harris and G. Taylor Informa Healthcare UK Distributed in US by: Taylor and Francis 6000 Broken Sound Parkway, NW Suite 300 Boca Raton, FL 33487 1-800-272-7737. (Pead), Ph.D. (Yoga Science) R E S E A R C H M E T H O D S. Sz_]WMi4}S:4c_KC%. Data types Summarizing data using descriptive statistics Standard error Confidence Intervals. JMCON. then given by the fraction of these experiments in which two . REACH Resources | Informing more effective humanitarian action PPT Introduction to Statistical Analysis - UC Berkeley School of Information Click here to review the details. 3. Do not sell or share my personal information, 1. Activate your 30 day free trialto unlock unlimited reading. Walker, Glenn A., and Jack Shostak. Statistical methods are essential for scientific research. If a confidence interval range is very wide, then plausible value might range from very low to very high. Test of Strength & Direction of Linear Relationship of 2 Quantitative Variables. This course The Physics of systems containing, Classical Newtons Laws ?? It appears that you have an ad-blocker running. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Practical Statistics for Medical Research. x d P xuKAs b*Q0*9" (#D4FhgcZ;bg*sF"q][m\D Dt+a]|a#lsn8,3_:?i5jrWydw #T iv^\s'fRf9/j&&vFs7nKS"_EGiIC-JK|T7{E?cxgM/(+Q1gKzehH}O'4iUA3Mc+2c~zK|{} Dvk9/ @ H | xcdd``> @c112BYL%bpu. 2022 in a Nutshell Reminiscing the year when opportunities were seized and feats were achieved! Introduction Observational Data Descriptive statistics involve summarizing a collection of data. - Introduction linkage analysis, Genetic markers, mapping functions Lecture 3 Background Readings: Chapter 5 & 6 (190-193) of An introduction to Genetics, Griffiths et Chapter 15: Likelihood, Bayesian, and Decision Theory. Often presented graphically as a 2 X 2 Table, Chi-Squared (2) Test Chi-Squared (2) Formula Not applicable in small samples If fewer than 5 observations per cell, use Fishers exact test, Correlation Assesses the linear relationship between two variables Example: height and weight Strength of the association is described by a correlation coefficient- r r = 0 - .2 low, probably meaningless r = .2 - .4 low, possible importance r = .4 - .6moderate correlation r = .6 - .8 high correlation r = .8 - 1 very high correlation Can be positive or negative Pearsons, Spearman correlation coefficient Tells nothing about causation, Correlation Source: Harris and Taylor. ? 1994. page 99 There were statistically significant different Most research studies result in a extensive. Statistical methods - Latest research and news | Nature Activate your 30 day free trialto unlock unlimited reading. The function of statistics in research is to purpose as a tool in conniving research, analyzing its data and portrayal of conclusions there from. A measure of the precision of a sample in estimating the population parameter. And theyre ready for you to use in your PowerPoint presentations the moment you need them. roger l. bertholf, ph.d., dabcc associate, Statistical Methods - . Weve updated our privacy policy so that we are compliant with changing global privacy regulations and to provide you with insight into the limited ways in which we use your data. > @=P p8L\ +Dt{?l$ 1 bv p> x]lepm BViXJC9%Q?GMjR"&O`}g1U.A4}0h)}k$BL/@Cx|v{dfvo~vS C a pT} m[;(u\M#w'l@)d^xp2-@Y]v`[^(Crm^N4' >N+:{j? 6}KyX RESEARCH (PART 1 - STAT 13, UCLA, Ivo Dinov. (Pearsons) Chi-Squared (2) Test Used to compare observed proportions of an event compared to expected. Chapter 1: Introduction to Statistical Methods Description: . Sample Size Calculation Also called power analysis. Free access to premium services like Tuneln, Mubi and more. The independent variable usually occurs earlier in time than the dependent variables. ? So, we need to divide the result by n1!n2! Looks like youve clipped this slide to already. Statistics and Methods - California Center for Population Research Li leads a research group called the Junction of Statistics and Biology, where she and her students focus on developing statistical and computational methods to answer important questions in biological and biomedical sciences and to extract key information from genomics and health-related data. Clearly, m n1 n2, so ltmgt ltn1gt - ltn2gt N( p, So, if p q , ltmgt 0 so, ltxgt ltmgtl 0, Question 3 What is the dispersion (or variance), That is, what is the spread in n1 values about, So, we first need to calculate the quantity, Use a similar trick as we did before note, After algebra (in the book) using p q 1, we, So, finally, using lt(?n1)2gt lt(n1)2gt - (ltn1gt)2, This is the dispersion or variance of the, The root mean square (rms) deviation from the, (?n1) ? # $ % & ' ( ) * + , - . Data Analysis and Presentation Describing and Presenting Data Three important criteriaaccuracy, conciseness, and understandability Researchers should always present their data in ways that most accurately represent the data Numerical data can be classified as numerical (example: percentages, (means) or graphical (graphs) method) Statistics Three areas: 1) Descriptive - central tendency . Activate your 30 day free trialto continue reading. Research Scholar at Indian Institute of Technology, Madras. - Chapter 7 Sampling and Sampling Distributions Simple Random Sampling Point Estimation Introduction to Sampling Distributions Sampling Distribution of Sampling - Statistics 202: Statistical Aspects of Data Mining Professor David Mease Tuesday, Thursday 9:00-10:15 AM Terman 156 Lecture 12 = More of Chapter 5, Chapter 1: Introduction and Research Methods. [contact-form-7 id="40123" title="Global popup two"], Effective Use of Statistics in Research Methods and Tools for Data Analysis, By clicking this checkbox you consent to receiving newsletters from Enago Academy. ! " august 12, 2009. 3rd edition. - Chapter 1: Introduction and Research Methods What is Psychology? Now customize the name of a clipboard to store your clips. Spies M.D., MPH Professor of Radiology Georgetown University School of Medicine Washington, DC. Statistical methods rcm business 2.3k views 34 slides Basics stat ppt-types of data Farhana Shaheen 23.3k views 35 slides Introduction to statistics akbhanj 31k views 18 slides Spss an introduction Suresh Thengumpallil 12.1k views 25 slides Data Ashutosh Mittal 26.8k views 45 slides 1.2 types of data Long Beach City College 1.8k views marcia a. testa, mph. You can read the details below. P Values and Confidence Intervals Confidence intervals provide a range of plausible values of the population mean For most tests, if the confidence interval includes 0, then it is not significant. Blackwell Scientific Publications, Oxford. Even if its Macroscopic parameters, Section 1.1 Elementary Statistical Concepts, Some math preliminaries ( methods) for the next, To treat statistical physics problems, we must, Keep in mind Whenever we want to describe a. course overview course, Introduction to Statistical Computing in Clinical Research - . Clarification Standard Deviation measures the variability or spread of the data in an individual sample. Selection of appropriate statistical methods for data analysis Now customize the name of a clipboard to store your clips. The sample is chosen by selecting a random starting point and then picking every i th element in succession from the sampling frame. Sample size for proportions Stata input: Mean 1 = .2, mean 2 = .3, = .05, power (1-) =.8. PPT - Introduction to Statistical Analysis PowerPoint Presentation biostatistics 212. today. descriptive statistics inferential statistics. Sampling.ppt - Google Slides We've updated our privacy policy. Systematic Random Sampling is a method of probability sampling in which the defined target population is ordered and the sample is selected according to position using a skip interval.. Ratios: if CI includes 1, then is not significant The interval contains the true population value 95% of the time. Clipping is a handy way to collect important slides you want to go back to later. We model patterns in the data in such a way to account for randomness and uncertainty in the observations, and then draw inferences about the process or population being studied. Confidence Intervals Commonly reported in studies to provide an estimate of the precision of the mean. Statistical methods in NLP - . Non-Parametric Methods - Statistics for Health Research Non-Parametric Methods Peter T. Donnan Professor of Epidemiology and Biostatistics | PowerPoint PPT presentation | free to view Research and Statistical Methods for Gym Business (1) - This research study was done to analyze the factors or the issues why the gym was losing the profit. Introduction to Statistical Computing in Clinical Research - Today. course overviewcourse objectivescourse details: AAEC 4302 STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . So the probability, which is probably the most elementary (discrete), As another example, suppose that p q , N, The Binomial Distribution is only one example of, Most of the following results are valid for ANY, Let u a variable which can take on any of M, with probabilities P(u1),P(u2),P(u3),..,P(uM-1),P, The Mean (average) value of u is defined as, S1 P(u1) P(u2) P(u3) .. P(uM-1) P(uM), For a properly normalized distribution, S1. Research Methods | Definitions, Types, Examples - Scribbr continuous data. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. As N increases, the mean value increases ? PPTX REACH Resources | Informing more effective humanitarian action Document presentation format: On-screen Show Company: SIMS, UC Berkeley Other titles: Times New Roman Book Antiqua Wingdings pvf-112000 Introduction to Statistical Analysis Approximate (!) > g Clinical Research Methods - . Common Statistical Methods for Clinical Research with SAS Examples, Third Edition.
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