statistical methods in research ppt statistical methods in research ppt

By accepting, you agree to the updated privacy policy. 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, ? - CHAPTER 2 Research Methods in Industrial/Organizational Psychology Introduction to Industrial/Organizational Psychology by Ronald Riggio Social Scientific Research Chapter%207%20Sampling%20and%20Sampling%20Distributions. They, So, its very important to spend some time on. A measure of the precision of a sample in estimating the population parameter. You never know which directions study results will go. continuous data. She is currently a Learning / Research Analyst, working in the Centre for Learning Environment and Assessment Development (CoLEAD) at Singapore Institute of Technology (SIT). Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Tap here to review the details. (3).pdf, Advanced Python Skills for Data Scientists, No public clipboards found for this slide, Enjoy access to millions of presentations, documents, ebooks, audiobooks, magazines, and more. 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. @ 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 &( . ! " We've updated our privacy policy. Data presentation is an extension of data cleaning, as it involves arranging the data for easy analysis. 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 . Research, Types and objectives of research. 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 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. (Ensemble the French word for assembly). For example, tables or graphs are used to organize data, and descriptive values such as the average score are used to summarize data. Ratio of two interval data points has no meaning Temperature in celsius, day of the year). The unit staff provide advice about what to do and how to do it as well as . p. The, the lamp post is at x 0. STATISTICAL ANALYSIS Statistical methods are essential for scientific research. Tentative date of next journal submission: For what are you most likely to depend on AI-assistance? ` / 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 @ . Chapter 1: Introduction to Statistical Methods Description: . # $ % & ' ( ) * 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. Clinical Research Methods - . Qualitative Vs. Quantitative Research A step-wise guide to conduct research. With so many measurements, simply looking at the data fails to provide an informative account. Also called a error. Most commonly used in assessing the estimate of the difference between two groups. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. When the sample size is small, the estimation and testing procedures of Chapter 8 are not appropriate. RESEARCH (PART 1 If so, just upload it to PowerShow.com. 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. types of data. Remember there is variability among samples- they might seem to come from different populations but they may not. Statistical methods in medical research. (Pead), Ph.D. (Yoga Science) R E S E A R C H M E T H O D S. For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data. They'll give your presentations a professional, memorable appearance - the kind of sophisticated look that today's audiences expect. large data, Statistical Methods - . Practical Statistics for Medical Research, Correlation Correlation Coefficient .7 Correlation Coefficient -.5 Source: Altman. Free access to premium services like Tuneln, Mubi and more. The SlideShare family just got bigger. Statistical Issues Designing Clinical Research - . Activate your 30 day free trialto continue reading. I can advise you this service - www.HelpWriting.net Bought essay here. Introduction to Statistical Computing in Clinical Research - Today. course overviewcourse objectivescourse details: AAEC 4302 STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . 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. It appears that you have an ad-blocker running. ? You can unsubscribe at any time by clicking on the unsubscribe link in the newsletter. Use of non-parametric tests Use for categorical, ordinal or non-normally distributed continuous data May check both parametric and non-parametric tests to check for congruity Most non-parametric tests are based on ranks or other non- value related methods Interpretation: Is the P value significant? You might even have a presentation youd like to share with others. Create stunning presentation online in just 3 steps. ziad taib biostatistics astrazeneca march 7, 2012. types. 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. 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. It appears that you have an ad-blocker running. Tap here to review the details. }>@X'- (W? vORv[K? The probability of stepping to, to the left is q 1 p. In general, q ? 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. biostatistics 212. today. P Values and Confidence Intervals P values provide less information than confidence intervals. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. 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, ? Well convert it to an HTML5 slideshow that includes all the media types youve already added: audio, video, music, pictures, animations and transition effects. Data types Summarizing data using descriptive statistics Standard error Confidence Intervals. course overview course. Looks like youve clipped this slide to already. Clinical Investigation and Outcomes Research Statistical Issues in Designing Clinical Research - . 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. Not applicable in categorical data Definition: Sum of all the values in a sample, divided by the number of values. 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. 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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. Much more useful than correlation Allows prediction of values of Y rather than just whether there is a relationship between two variable. Click here to review the details. Free access to premium services like Tuneln, Mubi and more. ~ :q;M }ARv=vc[NHev]UB E1Gn ?zE. 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. More than one method is . 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. ; The sampling interval, i, is determined by dividing the population size N by . The function of statistics in research is to purpose as a tool in conniving research, analyzing its data and portrayal of conclusions there from. 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 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. Can be ratio Ratio of the measures has meaning Weight, height, Types of Data Why important? We've encountered a problem, please try again. Rex Book Store ; Assessment of Learning I and II by Dr. Rosita De Guzman-Santos, LORIMAR Publishing, 2007 Ed. In fact, statistical methods dominate the scientific research as they include planning, designing, collecting data, analyzing, drawing meaningful interpretation and reporting of research findings. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. We've encountered a problem, please try again. It appears that you have an ad-blocker running. Each step is of length, axis must be x ml where m a positive or a, Question After N steps, what is the probability. 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. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. Clipping is a handy way to collect important slides you want to go back to later. So, we need to divide the result by n1!n2! If it appears they are not from same population, cant tell which sample is different. Test to compare two means (independent) Test to compare two means (paired) Test to compare two proportions. I am looking for Editing/ Proofreading services for my manuscript Practical Statistics for Medical Research. Sometimes, u is called the 1st moment of P(u). 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 When comparing two samples, we usually cannot be sure which is going to be be better. Comparative descriptive survey research design was employed to answer the research questions raised. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Research Scholar - HNB Garhwal Central University, Srinagar, Uttarakhand. But m 2n1 N, so n1 ()(N, n2 N - n1 ()(N - m). All available places can be occupied in, Note However! Walker, Glenn A., and Jack Shostak. STATISTICS IN Spies M.D., MPH Professor of Radiology Georgetown University School of Medicine Washington, DC. And, again, its all free. - Enago.tw | Reviso de Texto- Enago.com.br | Ingilizce Dzenleme- Enago.com.tr, Copyright 2023 - ALL RIGHTS RESERVED | Privacy Policy | Terms & Conditions | Contact Us. 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. N atoms, each with magnetic moment . The aim of this study was to compare PPT and traditional lecture method in material understandability, effectiveness and attitude among university students. - CHAPTER 3 Review of Statistics INTRODUCTION The creation of histograms and probability distributions from empirical data. 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 ? roger l. bertholf, ph.d., dabcc associate, Statistical Methods - . In it's simplest, idealized form, the random walk problem can be viewed as in the figure . Descriptive Statistics Descriptive statistics are methods for organizing and summarizing data. Data presentation. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: Clinical Research Methods - . diana trandabat 2013-2014. cky parsing. - 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. # $ % & ' ( ) * + , - . Typically 0.05 is used, Errors Type II error Claiming there is no difference between two samples when in fact there is. Overview. Statistical methods in NLP - . 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. Test to Compare Two Population Variances. Clarification Standard Deviation measures the variability or spread of the data in an individual sample. Then you can share it with your target audience as well as PowerShow.coms millions of monthly visitors. 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. Boasting an impressive range of designs, they will support your presentations with inspiring background photos or videos that support your themes, set the right mood, enhance your credibility and inspire your audiences. Introduction to Statistical Computing in Clinical Research - . Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. allen s chapter 7 j&m s chapters 8 and 12. statistical methods. One-sided vs. Two-sided Most tests should be framed as a two-sided test. charles e. mcculloch division of biostatistics. 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. 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 ? During her talk, Li will share personal and . 3 !1AQa"q2B#$Rb34rC%Scs5&DTdEt6UeuF'Vfv7GWgw 5 !1AQaq"2B#R3$brCScs4%&5DTdEU6teuFVfv'7GWgw ? P values, Statistical Methods in Clinical Research James B. In inferential statistics, we are generally using a sample. Sample Size Calculation Also called power analysis. In doing so, the statistician seeks to limit bias, maximize objectivity, and obtain results that are scientifically valid. then given by the fraction of these experiments in which two . Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Winner of the Standing Ovation Award for Best PowerPoint Templates from Presentations Magazine. Statistical Methods. ? data analysis techniques and statistical softwares. 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. The PowerPoint PPT presentation: "Chapter 1: Introduction to Statistical Methods" is the property of its rightful owner. 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.