continuous data. need to solve 1023, Quantum Schrdingers Equation ?? Much more useful than correlation Allows prediction of values of Y rather than just whether there is a relationship between two variable. ? Remember there is variability among samples- they might seem to come from different populations but they may not. The probability of stepping to, to the left is q 1 p. In general, q ? Standard error measures the precision of the estimate of a population parameter provided by the sample mean or proportion. 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) ? By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Sample size for proportions Stata input: Mean 1 = .2, mean 2 = .3, = .05, power (1-) =.8. Activate your 30 day free trialto unlock unlimited reading. Applications of Statistics in Research Bandit Thinkhamrop, Ph.D. (Statistics) Department of Biostatistics and Demography Faculty of Public Health Khon Kaen University. By accepting, you agree to the updated privacy policy. august 12, 2009. The sample is chosen by selecting a random starting point and then picking every i th element in succession from the sampling frame. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. diana trandabat 2013-2014. the sentence as a string of words e.g i saw the lady with. When the sample size is small, the estimation and testing procedures of Chapter 8 are not appropriate. P Values and Confidence Intervals P values provide less information than confidence intervals. 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.. For the, Again note that ltn1gt Np. We've updated our privacy policy. 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. Whatever your area of interest, here youll be able to find and view presentations youll love and possibly download. In it's simplest, idealized form, the random walk problem can be viewed as in the figure . Very helpful- In analysis of height and weight, for a known height, one can predict weight. Clipping is a handy way to collect important slides you want to go back to later. Do not sell or share my personal information. 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. - 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. 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. ! " Dr. Shamanthakamani Narendran M.D. Descriptive Statistics Descriptive statistics are methods for organizing and summarizing data. Test to Compare Two Population Variances. +KRs8@f Pdk )px!` mC#07jd}c^ ! @ n ? " CrystalGraphics 3D Character Slides for PowerPoint, - CrystalGraphics 3D Character Slides for PowerPoint, - Beautifully designed chart and diagram s for PowerPoint with visually stunning graphics and animation effects. Slide 1. This course The Physics of systems containing, Classical Newtons Laws ?? ~ :q;M }ARv=vc[NHev]UB E1Gn ?zE. 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. Common Statistical Methods for Clinical Research with SAS Examples, Third Edition. 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 Usually used for 3 or more samples. descriptive statistics inferential statistics. ziad taib biostatistics astrazeneca march 7, 2012. types. Spies M.D., MPH Professor of Radiology Georgetown University School of Medicine Washington, DC. Free access to premium services like Tuneln, Mubi and more. 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 (!) types of data. Now customize the name of a clipboard to store your clips. Forget the drunk, lets get back to Physics! Would need to do pair-wise tests. 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. The SlideShare family just got bigger. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. PowerShow.com is a leading presentation sharing website. For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data. The goal of statistics is to help researchers organize and interpret the data. Research Scholar at Indian Institute of Technology, Madras. James B. Non-parametric Tests Testing proportions (Pearsons) Chi-Squared (2) Test Fishers Exact Test Testing ordinal variables Mann Whiney U Test Kruskal-Wallis One-way ANOVA Testing Ordinal Paired Variables Sign Test Wilcoxon Rank Sum Test. 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. ` / 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 @ . or the 2nd Moment of P(u) about the mean. roger l. bertholf, ph.d., dabcc associate, Statistical Methods - . This analysis doesnt take into. Many of them are also animated. christopher s. coffey. 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. You can read the details below. Statistical research is the rigorous development of improved or new statistical methods grounded in probability and statistical theory. Explanatory & Response Variable in Statistics A quick guide for early career researchers! large data, Statistical Methods - . - 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. The SlideShare family just got bigger. Introduction to Statistical Computing in Clinical 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. collection, statistical analysis, and making appropriate inferences from the data. 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. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Test of Strength & Direction of Linear Relationship of 2 Quantitative Variables. 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. If so, just upload it to PowerShow.com. need to solve. Chapter 1: Introduction to Statistical Methods Description: . We had, m n1 n2 2n1 N. So, ltmgt 2ltn1gt, ?m m - ltmgt (2n1 N) (2ltn1gt - N) 2(n1, (?m)2 4(?n1)2. Activate your 30 day free trialto unlock unlimited reading. We've encountered a problem, please try again. Statistical Methods in Clinical Trials - . # $ % & ' ( ) * You can read the details below. RESEARCH (PART 1 )pn1qn2 ? Do not sell or share my personal information, 1. The independent variable usually occurs earlier in time than the dependent variables. 3. By accepting, you agree to the updated privacy policy. We focus on methods in eight areas of statistical research and maintain expertise in each. (n1 0?N) N!/(n1! Looks like youve clipped this slide to already. Talk about Probabilities Average Properties, We are NOT concerned with the detailed behavior, An Isolated System is in Equilibrium when its, But, note! Activate your 30 day free trialto continue reading. In inferential statistics, we are generally using a sample. 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. Statistical methods in medical research. Mid-value in interquartile range. 3rd edition. Chapter 1 Introduction. 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). We've updated our privacy policy. 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. (n1 0?N) N!/(n1!n2! Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. u " Sample size calculation yields the number of study subjects needed, given a certain desired power to detect a difference and a certain level of P value that will be considered significant. I can advise you this service - www.HelpWriting.net Bought essay here. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: gnhall@darkwing.uoregon.edu. If a confidence interval range is very wide, then plausible value might range from very low to very high. Click here to review the details. We've updated our privacy policy. Rex Book Store ; Assessment of Learning I and II by Dr. Rosita De Guzman-Santos, LORIMAR Publishing, 2007 Ed. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. DESCRIPTIVE). H H JFIF H H Adobe_CM Adobe d - Chapter 9. diana trandabat 2013-2014. cky parsing. Sz_]WMi4}S:4c_KC%. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. When comparing two samples, we usually cannot be sure which is going to be be better. Also called the error. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Not applicable in categorical data Definition: Sum of all the values in a sample, divided by the number of values. - An Introduction to Statistical Problem Solving in Geography - 2nd Edition . Data presentation can also help you determine the best way to present the data based on its arrangement. 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. More than one method is . - 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. 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. Research & Expertise - Missing Data & Observational Data Modeling Methods - Record Linkage & Machine Learning 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, ? Well convert it to an HTML5 slideshow that includes all the media types youve already added: audio, video, music, pictures, animations and transition effects. 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. Now customize the name of a clipboard to store your clips. You can read the details below. Click here to review the details. biostatistics 212 lecture 1. today. > @=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 And theyre ready for you to use in your PowerPoint presentations the moment you need them. Tap here to review the details. 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. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Clipping is a handy way to collect important slides you want to go back to later. PowerShow.com is brought to you byCrystalGraphics, the award-winning developer and market-leading publisher of rich-media enhancement products for presentations. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. 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. Many studies are completed without proper estimate of appropriate study size. 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. - PowerPoint PPT presentation Number of Views: 637 Avg rating:3.0/5.0 Slides: 67 Provided by: Charles7 Do not sell or share my personal information, 1. Ratio of two interval data points has no meaning Temperature in celsius, day of the year).

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