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. (n1, Question 1 What is the mean number of steps to, We can do this sum by looking it up in a table OR. ziad taib biostatistics astrazeneca march 7, 2012. types.
Role of Statistics in Research - Methods & Tools for Data Analysis 3rd edition. 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. (n1 0?N) N!/(n1! 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. Princy Francis M We've encountered a problem, please try again. By accepting, you agree to the updated privacy policy.
PPT Chapter 1: Introduction to Statistics - UBalt So, the relative, ? Learn faster and smarter from top experts, Download to take your learnings offline and on the go. The SlideShare family just got bigger. You can read the details below. collection, statistical analysis, and making appropriate inferences from the data. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. 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. Looks like youve clipped this slide to already. UCLA STAT 13. Sample Size for Continuous Data Stata input: Mean 1 = 20, mean 2 = 30, = .05, power (1-) =.8, std. Confidence Intervals May be used to assess a single point estimate such as mean or proportion. PowerShow.com is brought to you byCrystalGraphics, the award-winning developer and market-leading publisher of rich-media enhancement products for presentations. 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).
PPT A Brief Introduction to Research - University of Virginia School of the spread of the u values about the mean u. 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. - An Introduction to Statistical Problem Solving in Geography - 2nd Edition . large data, Statistical 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. You never know which directions study results will go. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. 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 gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: Clinical Research Methods - . 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. Four hundred and twenty nine participants were selected randomly using stratified sampling followed by lottery method. For quantitative data, you can use statistical analysis methods to test relationships between variables. The application of statistical methods extracts information from . 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By accepting, you agree to the updated privacy policy. Applications of Statistics in Research Bandit Thinkhamrop, Ph.D. (Statistics) Department of Biostatistics and Demography Faculty of Public Health Khon Kaen University. Activate your 30 day free trialto continue reading. I am looking for Editing/ Proofreading services for my manuscript If so, share your PPT presentation slides online with PowerShow.com. - 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. 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STATISTICAL ANALYSIS Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. Also called a error. 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. You can read the details below.
u " The independent variable is often seen as influencing, directly or indirectly, the dependent variable. Qualitative Vs. Quantitative Research A step-wise guide to conduct research. Clipping is a handy way to collect important slides you want to go back to later. 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? @ n ? " +KRs8@f Pdk )px!` mC#07jd}c^ !
PPTX REACH Resources | Informing more effective humanitarian action ? A measure of the precision of a sample in estimating the population parameter. 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. 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. christopher s. coffey. Clinical Research Methods - .
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PPT - Introduction to Statistical Analysis PowerPoint Presentation And, again, its all free. 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.
Statistical Method - an overview | ScienceDirect Topics Test to compare several means. Blackwell Scientific Publications, Oxford. 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. 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) ? 2. dev. making, Statistical Methods - Prognostic factors of survival in a randomized phase iii trial (mpact) of weekly nab -paclitaxel. 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. 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%). Test to Compare Two Population Variances. Introduction to Statistical Computing in Clinical Research - Today. course overviewcourse objectivescourse details: AAEC 4302 STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . Statistics presents a rigorous scientific method for gaining insight into data. 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.. By accepting, you agree to the updated privacy policy. You can read the details below.
al. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Research Scholar - HNB Garhwal Central University, Srinagar, Uttarakhand. With so many measurements, simply looking at the data fails to provide an informative account. In doing so, the statistician seeks to limit bias, maximize objectivity, and obtain results that are scientifically valid. Use a Statistical description of such a system. 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, ? This can be easily generalized to 2 dimensions. 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 ziad taib biostatistics astrazeneca february 22, 2012. types of data. In inferential statistics, we are generally using a sample. The unit staff provide advice about what to do and how to do it as well as . Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. @ 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 &( . p. The, the lamp post is at x 0. They are all artistically enhanced with visually stunning color, shadow and lighting effects. 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. Schedule Introduction Data Analysis--Introduction Data Collection Instruments Issues in Research Design Sample Size Sources of Error Quantitative vs. Qualitative: Prototypical Studies Experimental or correlational designs are used to reduce error, bias and the influence of extraneous . Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Click here to review the details. Do not sell or share my personal information, 1. 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 - PowerPoint PPT presentation Number of Views: 637 Avg rating:3.0/5.0 Slides: 67 Provided by: Charles7 Ratios: if CI includes 1, then is not significant The interval contains the true population value 95% of the time. qlrFFQ~]$M\I%?TI%)345 NKaa#>:Gc 1994. page 99 There were statistically significant different The Statistics and Methods Core supports CCPR research and training by providing expertise in the choice, development, and implementation of statistical methodology. 63^*6oFhdBXP6mkw P_(axEknr_F.VpH^oEB~,xF.Yxl8goKNst=vq~A($rVqg$rQ/$K7v-yG_I/G?WyOKTk3QyIYzp-V^XtwR>sgZa~'C]A|#Ho52;ndYF{Z'#*h
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VUsB9. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Cathy Walker. 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.
course overview course. And, best of all, it is completely free and easy to use. Free access to premium services like Tuneln, Mubi and more. - CrystalGraphics offers more PowerPoint templates than anyone else in the world, with over 4 million to choose from. All available places can be occupied in, Note However! allen s chapter 7 j&m s chapters 8 and 12. statistical methods. The sample is chosen by selecting a random starting point and then picking every i th element in succession from the sampling frame. Now customize the name of a clipboard to store your clips.
Arriving at the Junction of Statistics and Biology: My Journey chapter 7(7.1 &7.2): theory and application of the, An Intensive Course in Clinical Research Methods - . We've updated our privacy policy. Activate your 30 day free trialto unlock unlimited reading. 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.
PPT - Statistical Methods in Clinical Research PowerPoint Presentation I can advise you this service - www.HelpWriting.net Bought essay here. When the sample size is small, the estimation and testing procedures of Chapter 8 are not appropriate. Sample Size Calculation Also called power analysis. continuous data. She is currently a Learning / Research Analyst, working in the Centre for Learning Environment and Assessment Development (CoLEAD) at Singapore Institute of Technology (SIT). roger l. bertholf, ph.d., dabcc associate, Statistical Methods - . Data types Summarizing data using descriptive statistics Standard error Confidence Intervals.
cocke-kasami-younger parsing algorithm: Statistical methods in NLP - . But m 2n1 N, so n1 ()(N, n2 N - n1 ()(N - m). Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. You might even have a presentation youd like to share with others. 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 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 Also called the error. You can read the details below. Research, Types and objectives of research. If a confidence interval range is very wide, then plausible value might range from very low to very high. Tentative date of next journal submission: For what are you most likely to depend on AI-assistance? Slide 1. Mid-value in interquartile range.
! " Analysis of Variance Used to determine if two or more samples are from the same population- the null hypothesis. 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. It appears that you have an ad-blocker running. Click here to review the details. 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. 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 ? Common Statistical Methods for Clinical Research with SAS Examples, Third Edition. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. 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 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. Brief description about Descriptive statistics for dummies with solved examples.
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