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statistical methods in research ppt


uji hipotesis. All available places can be occupied in, Note However! 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 continuous blood pressure time to event. ? 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. Tap here to review the details. Free access to premium services like Tuneln, Mubi and more. [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. They'll give your presentations a professional, memorable appearance - the kind of sophisticated look that today's audiences expect. It appears that you have an ad-blocker running. The SlideShare family just got bigger. Clipping is a handy way to collect important slides you want to go back to later. When comparing two samples, we usually cannot be sure which is going to be be better. 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) ? - 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. 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. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. During her talk, Li will share personal and . Looks like youve clipped this slide to already. Research & Expertise - Missing Data & Observational Data Modeling Methods - Record Linkage & Machine Learning Methods RESEARCH (PART 1 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. Confidence Intervals Commonly reported in studies to provide an estimate of the precision of the mean. 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. Test about a slope. Would need to do pair-wise tests. Schedule Introduction Data Analysis--Introduction Data Collection Instruments Issues in Research Design Sample Size Sources of Error 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 . lt(?n1)2gt (in general). 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. Activate your 30 day free trialto unlock unlimited reading. 1994. page 99 63 Tips 6 (b) P-value vs. 95CI (4) Adapted from Armitage, P. and Berry, G. Statistical methods in medical research. Typically 0.05 is used, Errors Type II error Claiming there is no difference between two samples when in fact there is. Medical Statistics Part-II:Inferential statistics, Parametric test - t Test, ANOVA, ANCOVA, MANOVA, Research method ch07 statistical methods 1, Inferential statistics quantitative data - anova, univariate and bivariate analysis in spss, Nursing care of patients having conduction disorders, Planning process, 5 year plan and commitee reports, Coronary circulation and fetal circulation, Biochemistry of blood in relation to cardio pulmonary function, Privileges, community programmes of aged people, General health assessment and history taking, 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, Class 9 Chapter 5 Euclid's geometry (Theorems and Problems)_Lecture 2.pdf, Class 9_Chapter 4_Linear equations in two variables, 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. collection, statistical analysis, and making appropriate inferences from the data. I am looking for Editing/ Proofreading services for my manuscript We've encountered a problem, please try again. 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. The independent variable is often seen as influencing, directly or indirectly, the dependent variable. But m 2n1 N, so n1 ()(N, n2 N - n1 ()(N - m). Blackwell Scientific Publications, Oxford. 2. Statistical Issues Designing Clinical Research - . Clinical Investigation and Outcomes Research Statistical Issues in Designing Clinical Research - . Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Chapter 2 - Summary. or the 2nd Moment of P(u) about the mean. Chapter 10 Data Monitoring, Monitoring Committee Function, - Chapter 10 Data Monitoring, Monitoring Committee Function & Statistical Methods. Do not sell or share my personal information. Walker, Glenn A., and Jack Shostak. For the, Again note that ltn1gt Np. Free access to premium services like Tuneln, Mubi and more. roger l. bertholf, ph.d., dabcc associate, Statistical Methods - . And, again, its all free. data sharing / standardization. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. 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. ` / 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 @ . 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. 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 ? Common Statistical Methods for Clinical Research with SAS Examples, Third Edition. cocke-kasami-younger parsing algorithm: Statistical methods in NLP - . ? Now customize the name of a clipboard to store your clips. 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. 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 two samples, is the same as the T test. Zhi Chen Civil Engineering PhD with great quantitative analysis skills actively seeking for a data scientist/analyst position REACH Resources | Informing more effective humanitarian action marcia a. testa, mph. You can read the details below. Clarification Standard Deviation measures the variability or spread of the data in an individual sample. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. The Statistics and Methods Core supports CCPR research and training by providing expertise in the choice, development, and implementation of statistical methodology. By accepting, you agree to the updated privacy policy. The probability of stepping to, to the left is q 1 p. In general, q ? collecting and describing data. Clinical Research Methods - . Analysis of Variance Used to determine if two or more samples are from the same population- the null hypothesis. With so many measurements, simply looking at the data fails to provide an informative account. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. 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. Statistical methods in medical research. It's FREE! d d @ @@ `` H ( c Tap here to review the details. @ 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 &( . Presentation Transcript. Sometimes, u is called the 1st moment of P(u). Activate your 30 day free trialto unlock unlimited reading. 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 ? 3rd edition. With respect to use of research methodology, quantitative approach (78%) is popular in user studies followed by mixed methods (10%), qualitative (8%), and multimethod (4%). 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. More than one method is . Overview. ziad taib biostatistics astrazeneca february 22, 2012. types of data. Chapter 1 Introduction. Activate your 30 day free trialto unlock unlimited reading. 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. You can read the details below. Chapter 1: Introduction to Statistical Methods Description: . Now customize the name of a clipboard to store your clips. 10. Most commonly used in assessing the estimate of the difference between two groups. Not applicable in categorical data Definition: Sum of all the values in a sample, divided by the number of values. 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). The dependent variable is always the property you are trying to explain; it is always the object of the research. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. 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. Do not sell or share my personal information, 1. 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. - STAT 13, UCLA, Ivo Dinov. Ist Yr MSc(N) Looks like youve clipped this slide to already. Spies M.D., MPH Professor of Radiology Georgetown University School of Medicine Washington, DC. Create stunning presentation online in just 3 steps. Statistical Methods. B^uuhm?}{].~}v_J;xogJY]@.)oqC? / 0 1 2 3 4 5 6 7 8 9 : ; = > ? 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. 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. 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. Sample size for proportions Stata input: Mean 1 = .2, mean 2 = .3, = .05, power (1-) =.8. - CHAPTER 3 Review of Statistics INTRODUCTION The creation of histograms and probability distributions from empirical 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. Research Scholar at Indian Institute of Technology, Madras. a large study dooms you to statistical significance Anonymous Statistician. - Chapter 1: Introduction and Research Methods What is Psychology? Introduction to Statistical Computing in Clinical Research - . Is the most common value More frequently used to describe the distribution of data Uni-modal, bi-modal, etc. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: gnhall@darkwing.uoregon.edu. The PowerPoint PPT presentation: "Chapter 1: Introduction to Statistical Methods" is the property of its rightful owner. 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. 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. qlrFFQ~]$M\I%?TI%)345 NKaa#>:Gc 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. Qualitative Vs. Quantitative Research A step-wise guide to conduct research. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: gnhall@darkwing.uoregon.edu. Statistical research is the rigorous development of improved or new statistical methods grounded in probability and statistical theory. One-sided vs. Two-sided Most tests should be framed as a two-sided test. 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, ? Descriptive Statistics Descriptive statistics are methods for organizing and summarizing data. [A}?-wm}. 3. al. No problem. Use a Statistical description of such a system. Explanatory & Response Variable in Statistics A quick guide for early career researchers! You can read the details below. 8p" O . R $ i4N5y } R $ `N%L B RX R $ M>3O'2 X R $ We focus on methods in eight areas of statistical research and maintain expertise in each. ADVANCED STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . Princy Francis M In it's simplest, idealized form, the random walk problem can be viewed as in the figure . - Chapter 9. ? Statistical methods are essential for scientific research. This may lead to a negative study outcome in error. Do not sell or share my personal information, 1. Much more useful than correlation Allows prediction of values of Y rather than just whether there is a relationship between two variable. Test of Strength & Direction of Linear Relationship of 2 Quantitative Variables. Data presentation is an extension of data cleaning, as it involves arranging the data for easy analysis. Do you have PowerPoint slides to share? 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, ? The independent variable usually occurs earlier in time than the dependent variables. ? - PowerPoint PPT presentation Number of Views: 637 Avg rating:3.0/5.0 Slides: 67 Provided by: Charles7 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 Table of contents Methods for collecting data Examples of data collection methods Methods for analyzing data We've encountered a problem, please try again. 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. data analysis techniques and statistical softwares. Our product offerings include millions of PowerPoint templates, diagrams, animated 3D characters and more. When designing a study, one needs to determine how large a study is needed. (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. 2022 in a Nutshell Reminiscing the year when opportunities were seized and feats were achieved! 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 Usually used for 3 or more samples. Forget the drunk, lets get back to Physics! UCLA STAT 13. Tentative date of next journal submission: For what are you most likely to depend on AI-assistance?

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statistical methods in research ppt