statistical methods in research ppt

- Chapter 9. The Statistics and Methods Core supports CCPR research and training by providing expertise in the choice, development, and implementation of statistical methodology. Test to compare several means. 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, ? 3 !1AQa"q2B#$Rb34rC%Scs5&DTdEt6UeuF'Vfv7GWgw 5 !1AQaq"2B#R3$brCScs4%&5DTdEU6teuFVfv'7GWgw ? or the 2nd Moment of P(u) about the mean. Research Scholar at Indian Institute of Technology, Madras. The independent variable usually occurs earlier in time than the dependent variables. Dr. Shamanthakamani Narendran M.D. 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) ? Qualitative Vs. Quantitative Research A step-wise guide to conduct research. Rex Book Store ; Assessment of Learning I and II by Dr. Rosita De Guzman-Santos, LORIMAR Publishing, 2007 Ed. Four hundred and twenty nine participants were selected randomly using stratified sampling followed by lottery method. 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. 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. Sample Mode Infrequently reported as a value in studies. Statistical methods in medical research. 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. @ n ? " - Enago.tw | Reviso de Texto- Enago.com.br | Ingilizce Dzenleme- Enago.com.tr, Copyright 2023 - ALL RIGHTS RESERVED | Privacy Policy | Terms & Conditions | Contact Us. B^uuhm?}{].~}v_J;xogJY]@.)oqC? Activate your 30 day free trialto continue reading. 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 3rd edition. So, we need to divide the result by n1!n2! Here, you can use descriptive statistics tools to summarize the data. In fact, statistical methods dominate the scientific research as they include planning, designing, collecting data, analyzing, drawing meaningful interpretation and reporting of research findings. - 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. sumber: Statistical Methods in Clinical Trials II Categorical Data - . ~ :q;M }ARv=vc[NHev]UB E1Gn ?zE. 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. 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. # $ % & ' ( ) * + , - . Typically 0.05 is used, Errors Type II error Claiming there is no difference between two samples when in fact there is. February 13, 2010. ! " The SlideShare family just got bigger. N. lt(?m)2gt lt(m - ltmgt)2gt in the net displacement? Schedule Introduction Data Analysis--Introduction Data Collection Instruments Issues in Research Design Sample Size Sources of Error [A}?-wm}. - Introduction to Hypothesis Testing Chapter 8 - Chapter Outcomes After studying the material in this chapter, you should be able to: Formulate null and alternative An Introduction to Statistical Problem Solving in Geography - 2nd Edition. Ist Yr MSc(N) Remember there is variability among samples- they might seem to come from different populations but they may not. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. We've updated our privacy policy. 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. I am looking for Editing/ Proofreading services for my manuscript It has millions of presentations already uploaded and available with 1,000s more being uploaded by its users every day. Temporarily, lets treat p q as arbitrary, NOTE that, if p is a continuous variable, then we, Now, use this in (1) (interchanging the sum the, ltn1gt ? 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. We focus on methods in eight areas of statistical research and maintain expertise in each. All available places can be occupied in, Note However! strongly agree, agree, neither agree or disagree, etc. Spies M.D., MPH Professor of Radiology Georgetown University School of Medicine Washington, DC. Talk about Probabilities Average Properties, We are NOT concerned with the detailed behavior, An Isolated System is in Equilibrium when its, But, note! Comparative descriptive survey research design was employed to answer the research questions raised. 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 Example: A company advertises the net weight of its cereal is 24 ounces. They, So, its very important to spend some time on. 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. 2022 in a Nutshell Reminiscing the year when opportunities were seized and feats were achieved! UCLA STAT 13. One-sided vs. Two-sided Most tests should be framed as a two-sided test. descriptive statistics inferential statistics. 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 . This course The Physics of systems containing, Classical Newtons Laws ?? - Chapter 10: Inference from Small Samples Introduction When the sample size is small, the estimation and testing procedures of Chapter 8 are not appropriate. Practical Statistics for Medical Research, Correlation Correlation Coefficient .3 Correlation Coefficient 0 Source: Altman. charles e. mcculloch division of biostatistics. Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. Test of Strength & Direction of Linear Relationship of 2 Quantitative Variables. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. RESEARCH (PART 1 Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Tap here to review the details. Blackwell Scientific Publications, Oxford. - CHAPTER 3 Review of Statistics INTRODUCTION The creation of histograms and probability distributions from empirical data. Looks like youve clipped this slide to already. Introduction to Statistical Computing in Clinical Research - . BIOS:6610 STATISTICAL METHODS IN CLINICAL TRIALS - . 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. Slide 1. Not applicable in categorical data Definition: Sum of all the values in a sample, divided by the number of values. We had, m n1 n2 2n1 N. So, ltmgt 2ltn1gt, ?m m - ltmgt (2n1 N) (2ltn1gt - N) 2(n1, (?m)2 4(?n1)2. And, again, its all free. 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. You can read the details below. Also called a error. 63^*6oFhdBXP6mkw P_(axEknr_F.VpH^oEB~,xF.Yxl8goKNst=vq~A($rVqg$rQ/$K7v-yG_I/G?WyOKTk3QyIYzp-V^XtwR>sgZa~'C]A|#Ho52;ndYF{Z'#*h 0t`s?gai4 VUsB9. And, best of all, it is completely free and easy to use. Almost never, NOTE A knowledge of the probability distribution, In order to uniquely determine a distribution, Also well discuss a few math tricks for doing, The probability in N steps of making n1 to the, p the probability of a step to the right, q 1, (p q)N ? Hidden error because cant be detected without a proper power analysis. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: gnhall@darkwing.uoregon.edu. Presentation Transcript. 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 Blackwell Scientific Publications, Oxford. diana trandabat 2013-2014. the sentence as a string of words e.g i saw the lady with. Standard error measures the precision of the estimate of a population parameter provided by the sample mean or proportion. making, Statistical Methods - Prognostic factors of survival in a randomized phase iii trial (mpact) of weekly nab -paclitaxel. NOTE that lt(?u)2gt 0 if only if ui u for, It can easily be shown that, lt(?u)2gt 0, or, We could also define the nth moment of P(u) about, This is rarely used beyond n 2. A P value provides only a probability that estimate is due to chance A P value could be statistically significant but of limited clinical significance. DESCRIPTIVE). Princy Francis M A measure of the precision of a sample in estimating the population parameter. Power is the ability of a study to avoid a Type II error. biostatistics 212 lecture 1. today. For quantitative data, you can use statistical analysis methods to test relationships between variables. The SlideShare family just got bigger. 3. 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 Do not sell or share my personal information. In doing so, the statistician seeks to limit bias, maximize objectivity, and obtain results that are scientifically valid. uji hipotesis. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. @ 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 &( . Our new CrystalGraphics Chart and Diagram Slides for PowerPoint is a collection of over 1000 impressively designed data-driven chart and editable diagram s guaranteed to impress any audience. Introduction to Statistical Computing in Clinical Research - Today. course overviewcourse objectivescourse details: AAEC 4302 STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . For routine medical research, use only two-sided tests. STATISTICAL ANALYSIS cocke-kasami-younger parsing algorithm: Statistical methods in NLP - . biostatistics 212. today. Chapter 10 Data Monitoring, Monitoring Committee Function, - Chapter 10 Data Monitoring, Monitoring Committee Function & Statistical Methods. Create stunning presentation online in just 3 steps. Test to compare two means (independent) Test to compare two means (paired) Test to compare two proportions. This analysis doesnt take into. We've updated our privacy policy. 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. christopher s. coffey. 5. She is currently a Learning / Research Analyst, working in the Centre for Learning Environment and Assessment Development (CoLEAD) at Singapore Institute of Technology (SIT). By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. a large study dooms you to statistical significance Anonymous Statistician. {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 1994. page 99 63 Tips 6 (b) P-value vs. 95CI (4) Adapted from Armitage, P. and Berry, G. Statistical methods in medical research. Now customize the name of a clipboard to store your clips. The goal of statistics is to help researchers organize and interpret the data. Statistical Methods in Clinical Trials - . 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 Types of Data Discrete Data-limited number of choices Binary: two choices (yes/no) Dead or alive Disease-free or not Categorical: more than two choices, not ordered Race Age group Ordinal: more than two choices, ordered Stages of a cancer Likert scale for response E.G. 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. 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Clinical Research Methods - . ? - Introduction to Statistics 1.1 An Overview of Statistics 1.2 Data Classification 1.3 Experimental Design * Larson/Farber 4th ed. Research, Types and objectives of research. For the, Again note that ltn1gt Np. 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. But m 2n1 N, so n1 ()(N, n2 N - n1 ()(N - m). ; The sampling interval, i, is determined by dividing the population size N by . Sz_]WMi4}S:4c_KC%. 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. If so, just upload it to PowerShow.com. Sometimes, u is called the 1st moment of P(u). No problem. Free access to premium services like Tuneln, Mubi and more. Analysis of Time Series Data 9.1 Basic concepts 9.2 General model formulations 9.3 Smoothing methods 9.4 OLS regression models 9.5 Stochastic time series CHAPTER 2 Research Methods in Industrial/Organizational Psychology. The scientific study of behavior and mental processes Philosophical Developments A Question Introduction%20linkage%20analysis,%20Genetic%20markers,%20mapping%20functions%20Lecture%203. course overview course, Introduction to Statistical Computing in Clinical Research - . Many of them are also animated. methods research methods quantitative methods qualitative methods mathematical statistical methods interviews structured semi structured Download Presentation Research Methods An Image/Link below is provided (as is) to download presentation need to solve. (n1 0?N) N!/(n1!n2! Quantitative vs. Qualitative: Prototypical Studies Experimental or correlational designs are used to reduce error, bias and the influence of extraneous . Clipping is a handy way to collect important slides you want to go back to later. The application of statistical methods extracts information from . The PowerPoint PPT presentation: "Chapter 1: Introduction to Statistical Methods" is the property of its rightful owner. collection, statistical analysis, and making appropriate inferences from the data. Each step is of length, axis must be x ml where m a positive or a, Question After N steps, what is the probability. - 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. Sample Size Calculation Also called power analysis. diana trandabat 2013-2014. cky parsing. Brief description about Descriptive statistics for dummies with solved examples. Click here to review the details. During her talk, Li will share personal and . - CrystalGraphics offers more PowerPoint templates than anyone else in the world, with over 4 million to choose from. By accepting, you agree to the updated privacy policy. Most research studies result in a extensive. By accepting, you agree to the updated privacy policy. Tentative date of next journal submission: For what are you most likely to depend on AI-assistance? Now customize the name of a clipboard to store your clips. ? ADVANCED STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . Looks like youve clipped this slide to already. If it appears they are not from same population, cant tell which sample is different. It appears that you have an ad-blocker running. 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. The SlideShare family just got bigger. collecting and describing data. Medical Statistics Made Easy, Correlation Perfect Correlation Source: Altman. Statistical research is the rigorous development of improved or new statistical methods grounded in probability and statistical theory. More than one method is . Sample size for proportions Stata input: Mean 1 = .2, mean 2 = .3, = .05, power (1-) =.8. The function of statistics in research is to purpose as a tool in conniving research, analyzing its data and portrayal of conclusions there from. Get powerful tools for managing your contents. )pn1qn2 ? Tap here to review the details. 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.

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