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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. But m 2n1 N, so n1 ()(N, n2 N - n1 ()(N - m). Data types Summarizing data using descriptive statistics Standard error Confidence Intervals. Ratios: if CI includes 1, then is not significant The interval contains the true population value 95% of the time. strongly agree, agree, neither agree or disagree, etc. 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. Similarly, we can, Of course, ltn1gt ltn2gt N(p q) N as it. Sample Size Calculation Also called power analysis. P values, Statistical Methods in Clinical Research James B. - CHAPTER 3 Review of Statistics INTRODUCTION The creation of histograms and probability distributions from empirical data. ? 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. If so, share your PPT presentation slides online with PowerShow.com. We've updated our privacy policy. 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 (!) Activate your 30 day free trialto unlock unlimited reading. Walker, Glenn A., and Jack Shostak. Introduction to Statistical Computing in Clinical Research - . You never know which directions study results will go. 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 ? 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. 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 - Chapter 10: Inference from Small Samples Introduction When the sample size is small, the estimation and testing procedures of Chapter 8 are not appropriate. ! " It appears that you have an ad-blocker running. Hidden error because cant be detected without a proper power analysis. 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. or the 2nd Moment of P(u) about the mean. {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 [A}?-wm}. christopher s. coffey. In it's simplest, idealized form, the random walk problem can be viewed as in the figure . Overview. No problem. Click here to review the details. PowerShow.com is brought to you byCrystalGraphics, the award-winning developer and market-leading publisher of rich-media enhancement products for presentations. 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) ? 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. course overview course. The probability of stepping to, to the left is q 1 p. In general, q ? Cathy Walker. Winner of the Standing Ovation Award for Best PowerPoint Templates from Presentations Magazine. 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 I am looking for Editing/ Proofreading services for my manuscript BIOS:6610 STATISTICAL METHODS IN CLINICAL TRIALS - . Data presentation. In fact, statistical methods dominate the scientific research as they include planning, designing, collecting data, analyzing, drawing meaningful interpretation and reporting of research findings. Typically 0.05 is used, Errors Type II error Claiming there is no difference between two samples when in fact there is. 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. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Confidence Intervals May be used to assess a single point estimate such as mean or proportion. - 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. Tap here to review the details. UCLA STAT 13. Create stunning presentation online in just 3 steps. ! " 10. You can read the details below. Statistical Methods in Clinical Trials - . Looks like youve clipped this slide to already. We've encountered a problem, please try again. Well convert it to an HTML5 slideshow that includes all the media types youve already added: audio, video, music, pictures, animations and transition effects. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: Clinical Research Methods - . 8p" O . R $ i4N5y } R $ `N%L B RX R $ M>3O'2 X R $ And theyre ready for you to use in your PowerPoint presentations the moment you need them. allen s chapter 7 j&m s chapters 8 and 12. statistical methods. 4. Princy Francis M 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. You can unsubscribe at any time by clicking on the unsubscribe link in the newsletter. ? 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). (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. P Values and Confidence Intervals P values provide less information than confidence intervals. 1994. page 99 There were statistically significant different Activate your 30 day free trialto unlock unlimited reading. Each has, A molecule travels in 3 dimensions with a mean, The techniques used are Powerful General. Then you can share it with your target audience as well as PowerShow.coms millions of monthly visitors. Example: A company advertises the net weight of its cereal is 24 ounces. Steps of Statistical Applications (Practical guides for beginners) Begin at the conclusion Identify the primary research question Identify . 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. Blackwell Scientific Publications, Oxford. Qualitative Vs. Quantitative Research A step-wise guide to conduct research. - 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. 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. 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 ? 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. They'll give your presentations a professional, memorable appearance - the kind of sophisticated look that today's audiences expect. The SlideShare family just got bigger. James B. Remember there is variability among samples- they might seem to come from different populations but they may not. Click here to review the details. Statistics presents a rigorous scientific method for gaining insight into data. H H JFIF H H Adobe_CM Adobe d 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. Rex Book Store ; Assessment of Learning I and II by Dr. Rosita De Guzman-Santos, LORIMAR Publishing, 2007 Ed. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Confidence Intervals Commonly reported in studies to provide an estimate of the precision of the mean. Many of them are also animated. diana trandabat 2013-2014. the sentence as a string of words e.g i saw the lady with. august 12, 2009. Whatever your area of interest, here youll be able to find and view presentations youll love and possibly download. Sample Size for Continuous Data Stata input: Mean 1 = 20, mean 2 = 30, = .05, power (1-) =.8, std. - An Introduction to Statistical Problem Solving in Geography - 2nd Edition . Do not sell or share my personal information. Do you have PowerPoint slides to share? Now customize the name of a clipboard to store your clips. 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. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Here, you can use descriptive statistics tools to summarize the data. Much more useful than correlation Allows prediction of values of Y rather than just whether there is a relationship between two variable. Schedule Introduction Data Analysis--Introduction Data Collection Instruments Issues in Research Design Sample Size Sources of Error Is the most common value More frequently used to describe the distribution of data Uni-modal, bi-modal, etc. 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. diana trandabat 2013-2014. cky parsing. - Chapter 9. )pn1qn2 ? marcia a. testa, mph. 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. Four hundred and twenty nine participants were selected randomly using stratified sampling followed by lottery method. When designing a study, one needs to determine how large a study is needed. descriptive statistics inferential statistics. Tap here to review the details. Most research studies result in a extensive. Chapter 1: Introduction to Statistical Methods Description: . # $ % & ' ( ) * + , - . 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 goal of statistics is to help researchers organize and interpret the data. The application of statistical methods extracts information from . - 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. Test of Strength & Direction of Linear Relationship of 2 Quantitative Variables. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Zhi Chen Civil Engineering PhD with great quantitative analysis skills actively seeking for a data scientist/analyst position 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. Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. data analysis techniques and statistical softwares. Explanatory & Response Variable in Statistics A quick guide for early career researchers! So, the relative, ? the spread of the u values about the mean u. 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 Ist Yr MSc(N) Tentative date of next journal submission: For what are you most likely to depend on AI-assistance? Research Scholar at Indian Institute of Technology, Madras. When the sample size is small, the estimation and testing procedures of Chapter 8 are not appropriate. This may lead to a negative study outcome in error. As N increases, the mean value increases ? (Pead), Ph.D. (Yoga Science) R E S E A R C H M E T H O D S. 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. The SlideShare family just got bigger. Statistical methods in medical research. And, best of all, it is completely free and easy to use. Click here to review the details. Very helpful- In analysis of height and weight, for a known height, one can predict weight. ? Now customize the name of a clipboard to store your clips. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Would need to do pair-wise tests. They, So, its very important to spend some time on. You can read the details below. We focus on methods in eight areas of statistical research and maintain expertise in each. Get powerful tools for managing your contents. 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. 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. cocke-kasami-younger parsing algorithm: Statistical methods in NLP - . The aim of this study was to compare PPT and traditional lecture method in material understandability, effectiveness and attitude among university students. Table of contents Methods for collecting data Examples of data collection methods Methods for analyzing data STATISTICS IN 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. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Tap here to review the details. In doing so, the statistician seeks to limit bias, maximize objectivity, and obtain results that are scientifically valid. 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. ziad taib biostatistics astrazeneca february 22, 2012. types of data. Statistical Methods. Can be ratio Ratio of the measures has meaning Weight, height, Types of Data Why important? Use of emergent design utilizing constant comparison and revision. For example, suppose we measure the weight of 100 patients in a study. Spies M.D., MPH Professor of Radiology Georgetown University School of Medicine Washington, DC. 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. We've updated our privacy policy. - Enago.tw | Reviso de Texto- Enago.com.br | Ingilizce Dzenleme- Enago.com.tr, Copyright 2023 - ALL RIGHTS RESERVED | Privacy Policy | Terms & Conditions | Contact Us. 1994. page 99 63 Tips 6 (b) P-value vs. 95CI (4) Adapted from Armitage, P. and Berry, G. Statistical methods in medical research. - STAT 13, UCLA, Ivo Dinov. ziad taib biostatistics astrazeneca march 7, 2012. types. Clarification Standard Deviation measures the variability or spread of the data in an individual sample. Click here to review the details. - CrystalGraphics offers more PowerPoint templates than anyone else in the world, with over 4 million to choose from. For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data. We've updated our privacy policy. Practical Statistics for Medical Research, Correlation Correlation Coefficient .3 Correlation Coefficient 0 Source: Altman. Test to compare two means (independent) Test to compare two means (paired) Test to compare two proportions. 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. Activate your 30 day free trialto continue reading. biostatistics 212 lecture 1. today. Do not sell or share my personal information, 1. 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. For example, tables or graphs are used to organize data, and descriptive values such as the average score are used to summarize data. Not applicable in categorical data Definition: Sum of all the values in a sample, divided by the number of values. 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. (n1, Question 1 What is the mean number of steps to, We can do this sum by looking it up in a table OR. 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 Slide 1. The SlideShare family just got bigger. 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. Brief description about Descriptive statistics for dummies with solved examples. - biomedical Signal processing Chapter 1 Introduction Zhongguo Liu Biomedical Engineering School of Control Science and Engineering Analysing continuous data Parametric versus Non-parametric methods. 2022 in a Nutshell Reminiscing the year when opportunities were seized and feats were achieved! - Chapter 8: Introduction to Find the lower and upper confidence limits. Chapter 1 Introduction. > @=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 Test about a slope.  4 R $ KT XAYM( "n R $ SJqO& U "n R $ 2N[q