statistical methods in research pptstatistical methods in research ppt

chapter 7(7.1 &7.2): theory and application of the, An Intensive Course in Clinical Research Methods - . 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, ? By accepting, you agree to the updated privacy policy. diana trandabat 2013-2014. the sentence as a string of words e.g i saw the lady with. Role of Statistics in Research - Methods & Tools for Data Analysis 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. Cathy Walker. In inferential statistics, we are generally using a sample. d d @ @@ `` H ( c In fact, statistical methods dominate the scientific research as they include planning, designing, collecting data, analyzing, drawing meaningful interpretation and reporting of research findings. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. It appears that you have an ad-blocker running. 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. The SlideShare family just got bigger. u " Errors Type I error Claiming a difference between two samples when in fact there is none. 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. February 13, 2010. (Pead), Ph.D. (Yoga Science) R E S E A R C H M E T H O D S. Statistical Methods. - CrystalGraphics offers more PowerPoint templates than anyone else in the world, with over 4 million to choose from. types of data. 3rd edition. Sampling.ppt - Google Slides Quantitative vs. Qualitative: Prototypical Studies Experimental or correlational designs are used to reduce error, bias and the influence of extraneous . Our product offerings include millions of PowerPoint templates, diagrams, animated 3D characters and more. So, the relative, ? Comparative descriptive survey research design was employed to answer the research questions raised. Research & Expertise - Missing Data & Observational Data Modeling Methods - Record Linkage & Machine Learning Methods For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data. 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. continuous blood pressure time to event. Sample Mode Infrequently reported as a value in studies. If two samples, is the same as the T test. Ratio of two interval data points has no meaning Temperature in celsius, day of the year). )pn1qn2 ? Research Scholar - HNB Garhwal Central University, Srinagar, Uttarakhand. Power is the ability of a study to avoid a Type II error. They'll give your presentations a professional, memorable appearance - the kind of sophisticated look that today's audiences expect. For routine medical research, use only two-sided tests. biostatistics 212. today. Free access to premium services like Tuneln, Mubi and more. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. STATISTICAL ANALYSIS Can be ratio Ratio of the measures has meaning Weight, height, Types of Data Why important? Chapter 1: Introduction to Statistical Methods Description: . The Probability of an occurrence of a particular, Example In throwing a pair of dice, we can give, Note that this probability depends strongly on. allen s chapter 7 j&m s chapters 8 and 12. statistical methods. Interquartile range Is the range of data from the 25th percentile to the 75th percentile Common component of a box and whiskers plot It is the box, and the line across the box is the median or middle value Rarely, mean will also be displayed. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Practical Statistics for Medical Research. For the, Again note that ltn1gt Np. # $ % & ' ( ) * 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. 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 presentation is an extension of data cleaning, as it involves arranging the data for easy analysis. Click here to review the details. Research Method.ppt 1 of 70 Research Method.ppt Feb. 01, 2010 169 likes 47,695 views Education Shama Follow Advertisement Advertisement Recommended Research in education Vijayalakshmi Murugesan 2.3k views 65 slides Research methodology Md Saifullah Khalid 7.1k views 32 slides Rm chapter 2 report cheppumol 535 views 10 slides lt(?n1)2gt (in general). We've updated our privacy policy. (PDF) Use of Statistics in Research PDF Introduction & Basics 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 The P value used is an arbitrary value P value of 0.05 equals 1 in 20 chance P value of 0.01 equals 1 in 100 chance P value of 0.001 equals 1 in 1000 chance. Statistical Issues Designing Clinical Research - . Statistical Methods - SlideShare 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..  4 R $ KT XAYM( "n R $ SJqO& U "n R $ 2N[q 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 . - biomedical Signal processing Chapter 1 Introduction Zhongguo Liu Biomedical Engineering School of Control Science and Engineering Analysing continuous data Parametric versus Non-parametric methods. You can read the details below. Four hundred and twenty nine participants were selected randomly using stratified sampling followed by lottery method. P values, Statistical Methods in Clinical Research James B. Basics stat ppt-types of data Farhana Shaheen 23.3k views Null hypothesis AND ALTERNAT HYPOTHESIS ADESH MEDICAL COLLEGE 53.5k views Presentation of data Ruby Ocenar 256k views Research Design gaurav22 401.8k views Standard deviation P. G. Department of Botany, Berhampur University 82.6k views Chi squared test Dhruv Patel 6.4k views 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 Values and Confidence Intervals P values provide less information than confidence intervals. For quantitative data, you can use statistical analysis methods to test relationships between variables. 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. Each step is of length, axis must be x ml where m a positive or a, Question After N steps, what is the probability. Selection of appropriate statistical methods for data analysis By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Tap here to review the details. - 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. cocke-kasami-younger parsing algorithm: Statistical methods in NLP - . PPTX REACH Resources | Informing more effective humanitarian action Introduction to Statistical Computing in Clinical Research - . Research, Types and objectives of research. 10. We've encountered a problem, please try again. Presentation Transcript. You can unsubscribe at any time by clicking on the unsubscribe link in the newsletter. Confidence Intervals Commonly reported in studies to provide an estimate of the precision of the mean. - 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. PPT A Brief Introduction to Research - University of Virginia School of (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. Statistical Methods in Clinical Research. 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 Explanatory & Response Variable in Statistics A quick guide for early career researchers! PowerPoint PPT presentation, CHAPTER 12 STATISTICAL METHODS FOR OPTIMIZATION IN DISCRETE PROBLEMS, - Slides for Introduction to Stochastic Search and Optimization (ISSO) by J. C. Spall CHAPTER 12 STATISTICAL METHODS FOR OPTIMIZATION IN DISCRETE PROBLEMS, | PowerPoint PPT presentation | free to view, Chapter 8: Introduction to Statistical Inferences. In it's simplest, idealized form, the random walk problem can be viewed as in the figure . We've encountered a problem, please try again. And, again, its all free. PPT - Research Methods PowerPoint Presentation, free download - SlideServe Activate your 30 day free trialto continue reading. 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. Research Methods | Definitions, Types, Examples - Scribbr Research Method.ppt - SlideShare CCPR offers "drop-in" statistical consulting services to meet short-term needs of CCPR affiliates. 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 ? Mid-value in interquartile range. - Chapter 1: Introduction and Research Methods What is Psychology? Test to Compare Two Population Variances. You might even have a presentation youd like to share with others. Sample size for proportions Stata input: Mean 1 = .2, mean 2 = .3, = .05, power (1-) =.8. BIOS:6610 STATISTICAL METHODS IN CLINICAL TRIALS - . 5. RESEARCH (PART 1 3. 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. Forget the drunk, lets get back to Physics! 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. Many studies are completed without proper estimate of appropriate study size. Introduction Observational Data Descriptive statistics involve summarizing a collection of data. Blackwell Scientific Publications, Oxford. Hidden error because cant be detected without a proper power analysis. STATISTICS IN Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Statistics in research - SlideShare I can advise you this service - www.HelpWriting.net Bought essay here. - Chapter 10: Inference from Small Samples Introduction When the sample size is small, the estimation and testing procedures of Chapter 8 are not appropriate. sumber: Statistical Methods in Clinical Trials II Categorical Data - . Statistical research is the rigorous development of improved or new statistical methods grounded in probability and statistical theory. 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). Clarification Standard Deviation measures the variability or spread of the data in an individual sample. The application of statistical methods extracts information from . 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. - Chapter 8: Introduction to Find the lower and upper confidence limits. Activate your 30 day free trialto continue reading. 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. strongly agree, agree, neither agree or disagree, etc. 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, ? No problem. - Chapter 9. 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. The SlideShare family just got bigger. When the sample size is small, the estimation and testing procedures of Chapter 8 are not appropriate. 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) ? One-sided vs. Two-sided Most tests should be framed as a two-sided test. (n1 0?N) N!/(n1! She is currently a Learning / Research Analyst, working in the Centre for Learning Environment and Assessment Development (CoLEAD) at Singapore Institute of Technology (SIT). Statistical methods are essential for scientific 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. 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. - CHAPTER 3 Review of Statistics INTRODUCTION The creation of histograms and probability distributions from empirical data. They are all artistically enhanced with visually stunning color, shadow and lighting effects. 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 . 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.
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