By accepting, you agree to the updated privacy policy. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Clipping is a handy way to collect important slides you want to go back to later. 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. continuous data. strongly agree, agree, neither agree or disagree, etc. 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. collecting and describing data. Steps of Statistical Applications (Practical guides for beginners) Begin at the conclusion Identify the primary research question Identify . Activate your 30 day free trialto unlock unlimited reading. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. You can read the details below. p. The, the lamp post is at x 0. Tap here to review the details. - 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. lt(?n1)2gt (in general). Methods of Collecting Data biomedical Signal processing ???????? The scientific study of behavior and mental processes Philosophical Developments A Question Introduction%20linkage%20analysis,%20Genetic%20markers,%20mapping%20functions%20Lecture%203. P Values and Confidence Intervals Confidence intervals provide a range of plausible values of the population mean For most tests, if the confidence interval includes 0, then it is not significant. We've updated our privacy policy. Free access to premium services like Tuneln, Mubi and more. 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. STATISTICAL ANALYSIS Is the most common value More frequently used to describe the distribution of data Uni-modal, bi-modal, etc. Most commonly used in assessing the estimate of the difference between two groups. uji hipotesis. If two samples, is the same as the T test. Free access to premium services like Tuneln, Mubi and more. Clipping is a handy way to collect important slides you want to go back to later. Very helpful- In analysis of height and weight, for a known height, one can predict weight. Blackwell Scientific Publications, Oxford. sumber: Statistical Methods in Clinical Trials II Categorical Data - . need to solve. - STAT 13, UCLA, Ivo Dinov. Also called the error. Also called a error. Statistical Methods in Clinical Trials - . ziad taib biostatistics astrazeneca february 22, 2012. types of data. Blackwell Scientific Publications, Oxford. Then you can share it with your target audience as well as PowerShow.coms millions of monthly visitors. ! " Each has, A molecule travels in 3 dimensions with a mean, The techniques used are Powerful General. We've updated our privacy policy. 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 Confidence Intervals May be used to assess a single point estimate such as mean or proportion. Practical Statistics for Medical Research. The unit staff provide advice about what to do and how to do it as well as . marcia a. testa, mph. Use of emergent design utilizing constant comparison and revision. STATISTICS IN Do not sell or share my personal information, 1. It's FREE! {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 Each step is of length, axis must be x ml where m a positive or a, Question After N steps, what is the probability. The application of statistical methods extracts information from . Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. Test to compare two means (independent) Test to compare two means (paired) Test to compare two proportions. 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. More than one method is . The aim of this study was to compare PPT and traditional lecture method in material understandability, effectiveness and attitude among university students. She is currently a Learning / Research Analyst, working in the Centre for Learning Environment and Assessment Development (CoLEAD) at Singapore Institute of Technology (SIT). And, best of all, it is completely free and easy to use. We've encountered a problem, please try again. Statistical Methods. Example: A company advertises the net weight of its cereal is 24 ounces. Applications of Statistics in Research Bandit Thinkhamrop, Ph.D. (Statistics) Department of Biostatistics and Demography Faculty of Public Health Khon Kaen University. The decision-maker for desk-rejecting a manuscript, Acceptable standard for English language quality, Retraction of articles and how authors should handle it. 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 (!) Explanatory & Response Variable in Statistics A quick guide for early career researchers! Overview. So, we need to divide the result by n1!n2! Introduction to Statistical Computing in Clinical Research - . (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. Click here to review the details. - 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. 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.. dev. Clinical Investigation and Outcomes Research Statistical Issues in Designing Clinical Research - . 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). 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. James B. Clipping is a handy way to collect important slides you want to go back to later. 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, ? 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 Usually used for 3 or more samples. large data, Statistical Methods - . 3rd edition. course overview course. The independent variable usually occurs earlier in time than the dependent variables. }>@X'- (W? vORv[K? Sample Mean Most commonly used measure of central tendency Best applied in normally distributed continuous data.  4 R $ KT XAYM( "n R $ SJqO& U "n R $ 2N[q 3rd edition. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. 3. +KRs8@f Pdk )px!` mC#07jd}c^ ! 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. Now customize the name of a clipboard to store your clips. 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. 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. Confidence Intervals Commonly reported in studies to provide an estimate of the precision of the mean. Practical Statistics for Medical Research, Correlation Correlation Coefficient .7 Correlation Coefficient -.5 Source: Altman. 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. Research Scholar at Indian Institute of Technology, Madras. 8p" O . R $ i4N5y } R $ `N%L B RX R $ M>3O'2 X R $ ADVANCED STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . What is the mean displacement, ltxgt ltmgtl? Looks like youve clipped this slide to already. (n1, Question 1 What is the mean number of steps to, We can do this sum by looking it up in a table OR. Tap here to review the details. When comparing two samples, we usually cannot be sure which is going to be be better. By accepting, you agree to the updated privacy policy. Statistical Methods in Clinical Research. This may lead to a negative study outcome in error. N atoms, each with magnetic moment . You can read the details below. So, the relative, ? Hidden error because cant be detected without a proper power analysis. roger l. bertholf, ph.d., dabcc associate, Statistical Methods - . 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. Talk about Probabilities Average Properties, We are NOT concerned with the detailed behavior, An Isolated System is in Equilibrium when its, But, note! This course The Physics of systems containing, Classical Newtons Laws ?? Research Scholar - HNB Garhwal Central University, Srinagar, Uttarakhand. 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 Data presentation can also help you determine the best way to present the data based on its arrangement. Chapter 2 - Summary. The probability of not making a Type II error is 1 - , which is called the power of the test. Not applicable in categorical data Definition: Sum of all the values in a sample, divided by the number of values. Clinical Research Methods - . Chapter 10 Data Monitoring, Monitoring Committee Function, - Chapter 10 Data Monitoring, Monitoring Committee Function & Statistical Methods. The goal of statistics is to help researchers organize and interpret the data. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Sample Size Calculation Also called power analysis. Sample size for proportions Stata input: Mean 1 = .2, mean 2 = .3, = .05, power (1-) =.8. Would need to do pair-wise tests. Overview. d d @ @@ `` H ( c 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. B^uuhm?}{].~}v_J;xogJY]@.)oqC? Clinical Research Methods - . 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? While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. u " Activate your 30 day free trialto continue reading. Statistics presents a rigorous scientific method for gaining insight into data. JMCON. - Introduction linkage analysis, Genetic markers, mapping functions Lecture 3 Background Readings: Chapter 5 & 6 (190-193) of An introduction to Genetics, Griffiths et Chapter 15: Likelihood, Bayesian, and Decision Theory. - Chapter 9. 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. We had, m n1 n2 2n1 N. So, ltmgt 2ltn1gt, ?m m - ltmgt (2n1 N) (2ltn1gt - N) 2(n1, (?m)2 4(?n1)2. allen s chapter 7 j&m s chapters 8 and 12. statistical methods. (Pearsons) Chi-Squared (2) Test Used to compare observed proportions of an event compared to expected. then given by the fraction of these experiments in which two . [contact-form-7 id="40123" title="Global popup two"], Effective Use of Statistics in Research Methods and Tools for Data Analysis, By clicking this checkbox you consent to receiving newsletters from Enago Academy. diana trandabat 2013-2014. the sentence as a string of words e.g i saw the lady with. Click here to review the details. 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. 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. ? 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. We've updated our privacy policy. PowerShow.com is a leading presentation sharing website. But m 2n1 N, so n1 ()(N, n2 N - n1 ()(N - m). - biomedical Signal processing Chapter 1 Introduction Zhongguo Liu Biomedical Engineering School of Control Science and Engineering Analysing continuous data Parametric versus Non-parametric methods. It appears that you have an ad-blocker running. Data presentation. We've encountered a problem, please try again. It has millions of presentations already uploaded and available with 1,000s more being uploaded by its users every day. 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 . > g A measure of the precision of a sample in estimating the population parameter. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: Clinical Research Methods - . 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. / 0 1 2 3 4 5 6 7 8 9 : ; = > ? If so, share your PPT presentation slides online with PowerShow.com. 5. Analysis of Variance Used to determine if two or more samples are from the same population- the null hypothesis. The sample is chosen by selecting a random starting point and then picking every i th element in succession from the sampling frame. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. - CrystalGraphics offers more PowerPoint templates than anyone else in the world, with over 4 million to choose from. the spread of the u values about the mean u. Introduction Observational Data Descriptive statistics involve summarizing a collection of data. [A}?-wm}. Activate your 30 day free trialto continue reading. Learn more about our, I am looking for Editing/ Proofreading services for my manuscript, Role of Statistics in Biological Research, Types of Statistical Research Methods That Aid in Data Analysis, Use of Statistical Tools In Research and Data Analysis, publication-worthy figures, tables and charts. 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 ? For the, Again note that ltn1gt Np. Statistical research is the rigorous development of improved or new statistical methods grounded in probability and statistical theory. 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. 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. 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. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. 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. 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. 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 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. Brief description about Descriptive statistics for dummies with solved examples. Many of them are also animated. Winner of the Standing Ovation Award for Best PowerPoint Templates from Presentations Magazine. Looks like youve clipped this slide to already. Sample Mode Infrequently reported as a value in studies. (Ensemble the French word for assembly). Quantitative vs. Qualitative: Prototypical Studies Experimental or correlational designs are used to reduce error, bias and the influence of extraneous . qlrFFQ~]$M\I%?TI%)345 NKaa#>:Gc 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. For example, suppose we measure the weight of 100 patients in a study. The SlideShare family just got bigger. Rex Book Store ; Assessment of Learning I and II by Dr. Rosita De Guzman-Santos, LORIMAR Publishing, 2007 Ed. You never know which directions study results will go. The Statistics and Methods Core supports CCPR research and training by providing expertise in the choice, development, and implementation of statistical methodology. ; The sampling interval, i, is determined by dividing the population size N by . 2022 in a Nutshell Reminiscing the year when opportunities were seized and feats were achieved! 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. For routine medical research, use only two-sided tests. Spies M.D., MPH Professor of Radiology Georgetown University School of Medicine Washington, DC. Do not sell or share my personal information. chapter 7(7.1 &7.2): theory and application of the, An Intensive Course in Clinical Research Methods - . When designing a study, one needs to determine how large a study is needed. 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. descriptive statistics inferential statistics. Presentation Transcript. 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. 3. - 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. With so many measurements, simply looking at the data fails to provide an informative account. RESEARCH (PART 1 By accepting, you agree to the updated privacy policy. @ 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 &( . Introduction to Research Methods in Education, Research an overview: A Tutorial PowerPoint Presentation by Ramesh Adhikari, Lecture 7 research methodology in counselling, Newham College University Centre Stratford Newham, Research Process in Social Science Research, 01 tajuk, masalah & objektif kajian penyelidikan tindakan, Research presentation on tools and methods of data collection, Research data collection methods and tools, Qualitative and quantitative methods of research, NurseReview.Org - Study Skills and Test Strategies for the New Nursing Student, On Being A Successful Graduate Student In The Sciences, Dev Sanskriti Vishwavidyalaya (University), Role of yoga in tension outlets of children, Sravana shakthi hearing disorders in children, Cell phone use on child development and behavior, GERD (gastroesophageal reflux disease) in children, Congratulation and Compliment-SlidesCarnival_02.ppt, ANATOMY EMBRYOLOGY AND IMAGING OF SVC.pptx, first language, second and additional language.pptx, Uses knowledge of text structure to glean the information he/she needs, College Achievement Certificates _ by Slidesgo.pptx, CONTEMPORARY ARTS IN THE REGION week 4-5.pptx, fitnesstestingingeriatics-161020102751.pdf, Class 9_Chapter 7_Triangles (Basic definitions ) Lecture 1, No public clipboards found for this slide, Enjoy access to millions of presentations, documents, ebooks, audiobooks, magazines, and more. REACH Resources | Informing more effective humanitarian action Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. 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.

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