statistical methods in research ppt statistical methods in research ppt

Introduction to Statistical Computing in Clinical Research - . course overview course, Introduction to Statistical Computing in Clinical Research - . Also called a error. (n1 0?N) N!/(n1! Data presentation can also help you determine the best way to present the data based on its arrangement. Standard Error Significance: Is the basis of confidence intervals A 95% confidence interval is defined by Sample mean (or proportion) 1.96 X standard error Since standard error is inversely related to the sample size: The larger the study (sample size), the smaller the confidence intervals and the greater the precision of the estimate. Statistical Methods - SlideShare ! " The SlideShare family just got bigger. PPT Quantitative Methods - LSU Chapter 2 - Summary. 3. Clipping is a handy way to collect important slides you want to go back to later. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. (Pearsons) Chi-Squared (2) Test Used to compare observed proportions of an event compared to expected. types of data. Research & Expertise - Missing Data & Observational Data Modeling Methods - Record Linkage & Machine Learning Methods You might even have a presentation youd like to share with others. qlrFFQ~]$M\I%?TI%)345 NKaa#>:Gc (Ensemble the French word for assembly). We've updated our privacy policy. Analysis of Variance Used to determine if two or more samples are from the same population- the null hypothesis. 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, ? Two main statistical methods are used in data analysis: descriptive statistics, which summarizes data using indexes such as mean and median and another is inferential statistics, which draw conclusions from data using statistical tests such as student's t-test. Free access to premium services like Tuneln, Mubi and more. Whatever your area of interest, here youll be able to find and view presentations youll love and possibly download. For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data. We've encountered a problem, please try again. 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. The Statistics and Methods Core supports CCPR research and training by providing expertise in the choice, development, and implementation of statistical methodology. Statistical analysis - SlideShare Most research studies result in a extensive. Statistical Research - Census.gov PPT - Research Methods PowerPoint Presentation, free download - SlideServe While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. ADVANCED STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . P Values and Confidence Intervals P values provide less information than confidence intervals. Standard Error A fundamental goal of statistical analysis is to estimate a parameter of a population based on a sample The values of a specific variable from a sample are an estimate of the entire population of individuals who might have been eligible for the study. Many studies are completed without proper estimate of appropriate study size. So, we need to divide the result by n1!n2! It appears that you have an ad-blocker running. Statistical Tests Parametric tests Continuous data normally distributed Non-parametric tests Continuous data not normally distributed Categorical or Ordinal data, Comparison of 2 Sample Means Students T test Assumes normally distributed continuous data. 1994. page 99 There were statistically significant different Now customize the name of a clipboard to store your clips. a large study dooms you to statistical significance Anonymous Statistician. Example: A relative risk of 4 might have a confidence interval of 1.05 to 9, suggesting that although the estimate is for a 400% increased risk, an increased risk of 5% to 900% is plausible. Statistics and Methods - California Center for Population Research So, lt(?m)2gt 4lt(?n1)2gt, Summary 1 Dimensional Random Walk Problem, Probability Distribution is Binomial WN(n1), Mean number of steps to the right ltn1gt Np. [A}?-wm}. Activate your 30 day free trialto continue reading. need to solve 1023, Quantum Schrdingers Equation ?? Test to compare several means. 2. Zhi Chen - Milwaukee, Wisconsin, United States - LinkedIn 3rd edition. In inferential statistics, we are generally using a sample. PPT - Chapter 1: Introduction to Statistical Methods PowerPoint marcia a. testa, mph. The application of statistical methods extracts information from . Table of contents Methods for collecting data Examples of data collection methods Methods for analyzing data supported by the institute for clinical and translational, Practical Applications of Statistical Methods in the Clinical Laboratory - . 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. PPT - Applications of Statistics in Research PowerPoint Presentation Quantitative vs. Qualitative: Methods and Process The scientific method, also known as a priori or pre-established design. James B. 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 Winner of the Standing Ovation Award for Best PowerPoint Templates from Presentations Magazine. - Chapter 8: Introduction to Find the lower and upper confidence limits. JMCON. 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. 2022 in a Nutshell Reminiscing the year when opportunities were seized and feats were achieved! PPT Describing and Presenting Data - shsu.edu Sample Size Calculation Also called power analysis. 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). STATISTICAL TOOLS NEEDED - PowerPoint PPT Presentation 8p" O . R $ i4N5y } R $ `N%L B RX R $ M>3O'2 X R $ - Introduction to Statistics 1.1 An Overview of Statistics 1.2 Data Classification 1.3 Experimental Design * Larson/Farber 4th ed. N. lt(?m)2gt lt(m - ltmgt)2gt in the net displacement? For routine medical research, use only two-sided tests. REACH Resources | Informing more effective humanitarian action gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: gnhall@darkwing.uoregon.edu. Arriving at the Junction of Statistics and Biology: My Journey roger l. bertholf, ph.d., dabcc associate, Statistical Methods - . Then you can share it with your target audience as well as PowerShow.coms millions of monthly visitors. You can read the details below. ziad taib biostatistics astrazeneca february 22, 2012. types of data. 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. Here, you can use descriptive statistics tools to summarize the data. Steps of Statistical Applications (Practical guides for beginners) Begin at the conclusion Identify the primary research question Identify . al. ERIC - EJ1051853 - A Comparative Study on Power Point Presentation and 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. Activate your 30 day free trialto unlock unlimited reading. During her talk, Li will share personal and . PowerShow.com is a leading presentation sharing website. Free access to premium services like Tuneln, Mubi and more. Introduction to Statistical Computing in Clinical Research - Today. course overviewcourse objectivescourse details: AAEC 4302 STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . Do not sell or share my personal information. PPT - Statistical Methods in Clinical Research PowerPoint Presentation 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. - 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. need to solve. We've encountered a problem, please try again. We've updated our privacy policy. Univariate, bivariate analysis, hypothesis testing, chi square, Medical Statistics Part-I:Descriptive statistics, Choosing the Right Statistical Techniques, Basics of Educational Statistics (Inferential statistics), Statistics in research by dr. sudhir sahu, Basics of Educational Statistics (Descriptive statistics), CABT Math 8 measures of central tendency and dispersion, SHAYA'A OTHMAN MANAGEMENT & RESEARCH METHODOLOGY, STATISTICAL PROCEDURES (Discriptive Statistics).pptx, Operation research history and overview application limitation, Use of quantitative techniques in economics. lt(?n1)2gt (in general). 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 The dependent variable is always the property you are trying to explain; it is always the object of the research. Ratios: if CI includes 1, then is not significant The interval contains the true population value 95% of the time. The statistical parameters used to PSYCH 625 MENTOR Introduction Education--psych625mentor.com, - FOR MORE CLASSES VISIT www.psych625mentor.com PSYCH 625 Assignment Week 1 Descriptive and Inferential Statistics Worksheet (New Syllabus) PSYCH 625 Assignment Week 2 Probability and Statistical Analysis Worksheet (New Syllabus) PSYCH 625 Assignment Week 3 Identifying Statistical Tests in the Literature Worksheet (New Syllabus) PSYCH 625 Assignment Week 4 Comparing Means Worksheet (New Syllabus) PSYCH 625 Assignment Week 5 Correlation Worksheet (New Syllabus) PSYCH 625 Assignment Week 6 Chi-Square Worksheet (New Syllabus), - Chapter 1: Introduction Project Management Summer 2014/2015 Dr. Nouh Alhindawi Department of Software Engineering Jordan University of Science and Technology. 3. Sz_]WMi4}S:4c_KC%. - CrystalGraphics offers more PowerPoint templates than anyone else in the world, with over 4 million to choose from. The function of statistics in research is to purpose as a tool in conniving research, analyzing its data and portrayal of conclusions there from. Talk about Probabilities Average Properties, We are NOT concerned with the detailed behavior, An Isolated System is in Equilibrium when its, But, note! cocke-kasami-younger parsing algorithm: Statistical methods in NLP - . STATISTICAL PROCEDURES (Discriptive Statistics).pptx MuhammadNafees42 158 views Sampling design 6.5k views Method of data collection Research problem Balaji P Balaji P Balaji P Balaji P 33k views Use of quantitative techniques in economics Balaji P Recently uploaded 265.ppt sanjaykj6 Apple 2022-Q4 Income Statement chart.pdf BobKane13 Data presentation is an extension of data cleaning, as it involves arranging the data for easy analysis. charles e. mcculloch division of biostatistics. Errors Type I error Claiming a difference between two samples when in fact there is none. N atoms, each with magnetic moment . By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. 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. - Chapter 1: Introduction and Research Methods What is Psychology? PDF Introduction & Basics @ 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 &( . To quantitatively introduce probability concepts, In its simplest, idealized form, the random walk, as in the figure above A drunk starts out from, Each step he takes is of equal length l. The man, direction of each step (right or left) is, preceding step. B^uuhm?}{].~}v_J;xogJY]@.)oqC? 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. You can read the details below. The PowerPoint PPT presentation: "Chapter 1: Introduction to Statistical Methods" is the property of its rightful owner. You can read the details below. 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. Brief description about Descriptive statistics for dummies with solved examples. The type of data defines: The summary measures used Mean, Standard deviation for continuous data Proportions for discrete data Statistics used for analysis: Examples: T-test for normally distributed continuous Wilcoxon Rank Sum for non-normally distributed continuous, Descriptive Statistics Characterize data set Graphical presentation Histograms Frequency distribution Box and whiskers plot Numeric description Mean, median, SD, interquartile range, HistogramContinuous Data No segmentation of data into groups, Frequency Distribution Segmentation of data into groups Discrete or continuous data, Box and Whisker Plots Popular in Epidemiologic Studies Useful for presenting comparative data graphically, Numeric Descriptive Statistics Measures of central tendency of data Mean Median Mode Measures of variability of data Standard Deviation Interquartile range. Medical Statistics Made Easy, Correlation Perfect Correlation Source: Altman. diana trandabat 2013-2014. cky parsing. > @=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 christopher s. coffey. Research Scholar at Indian Institute of Technology, Madras. Activate your 30 day free trialto continue reading. biostatistics 212 lecture 1. today.