Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. PPT Describing and Presenting Data - shsu.edu 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. Medical Statistics Made Easy, Correlation Perfect Correlation Source: Altman. diana trandabat 2013-2014. the sentence as a string of words e.g i saw the lady with. Presentation Transcript. (n1 0?N) N!/(n1! PPT - Statistical Methods PowerPoint Presentation, free download - ID chapter 7(7.1 &7.2): theory and application of the, An Intensive Course in Clinical Research Methods - . 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 . Statistical Methods in Clinical Trials - . ERIC - EJ1051853 - A Comparative Study on Power Point Presentation and 1994. page 99 63 Tips 6 (b) P-value vs. 95CI (4) Adapted from Armitage, P. and Berry, G. Statistical methods in medical research. 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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. 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. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. 1994. page 99 There were statistically significant different Standard error measures the precision of the estimate of a population parameter provided by the sample mean or proportion. 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. And, again, its all free. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: gnhall@darkwing.uoregon.edu. 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. 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 Blackwell Scientific Publications, Oxford. - 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. P Values and Confidence Intervals P values provide less information than confidence intervals. 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. (Pearsons) Chi-Squared (2) Test Used to compare observed proportions of an event compared to expected. 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CCPR offers "drop-in" statistical consulting services to meet short-term needs of CCPR affiliates. This may lead to a negative study outcome in error. christopher s. coffey. Analysis of Variance Used to determine if two or more samples are from the same population- the null hypothesis. It's FREE! collection, statistical analysis, and making appropriate inferences from the data. With so many measurements, simply looking at the data fails to provide an informative account. Winner of the Standing Ovation Award for Best PowerPoint Templates from Presentations Magazine. For routine medical research, use only two-sided tests. Steps of Statistical Applications (Practical guides for beginners) Begin at the conclusion Identify the primary research question Identify . 4. We've encountered a problem, please try again. I can advise you this service - www.HelpWriting.net Bought essay here. DESCRIPTIVE). Cathy Walker. Each step is of length, axis must be x ml where m a positive or a, Question After N steps, what is the probability. This course The Physics of systems containing, Classical Newtons Laws ?? Explanatory & Response Variable in Statistics A quick guide for early career researchers! Free access to premium services like Tuneln, Mubi and more. The four types of statistical methods and the - ResearchGate 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 Methods. 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STATISTICAL ANALYSIS By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Slide 1. If so, share your PPT presentation slides online with PowerShow.com. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. You might even have a presentation youd like to share with others. (PDF) Use of Statistics in Research N. lt(?m)2gt lt(m - ltmgt)2gt in the net displacement? ? Sometimes, u is called the 1st moment of P(u). Example: A company advertises the net weight of its cereal is 24 ounces. B^uuhm?}{].~}v_J;xogJY]@.)oqC? 8p" O . R $ i4N5y } R $ `N%L B RX R $ M>3O'2 X R $ Now customize the name of a clipboard to store your clips. diana trandabat 2013-2014. cky parsing. 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. Well convert it to an HTML5 slideshow that includes all the media types youve already added: audio, video, music, pictures, animations and transition effects. Statistical Method - an overview | ScienceDirect Topics @ n ? " - Chapter 8: Introduction to Find the lower and upper confidence limits. course overview course. august 12, 2009. So, the relative, ? She is currently a Learning / Research Analyst, working in the Centre for Learning Environment and Assessment Development (CoLEAD) at Singapore Institute of Technology (SIT). need to solve 1023, Quantum Schrdingers Equation ?? If it appears they are not from same population, cant tell which sample is different. Mid-value in interquartile range. PPT - Research Methods PowerPoint Presentation, free download - SlideServe Practical Statistics for Medical Research, Correlation Correlation Coefficient .3 Correlation Coefficient 0 Source: Altman. Activate your 30 day free trialto unlock unlimited reading. Chapter 1 Introduction. Tap here to review the details. In doing so, the statistician seeks to limit bias, maximize objectivity, and obtain results that are scientifically valid. Brief description about Descriptive statistics for dummies with solved examples. (N-n1)!n1pn1qn2, But, for our special case (p q) 1, (p q)N-1, Summary The mean number of steps to the right, We might have guessed this! Introduction to Statistical Computing in Clinical Research - Today. course overviewcourse objectivescourse details: AAEC 4302 STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . REACH Resources | Informing more effective humanitarian action The independent variable usually occurs earlier in time than the dependent variables. 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). It appears that you have an ad-blocker running. Free access to premium services like Tuneln, Mubi and more. 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. 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 Dr. Shamanthakamani Narendran M.D. 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. The scientific study of behavior and mental processes Philosophical Developments A Question Introduction%20linkage%20analysis,%20Genetic%20markers,%20mapping%20functions%20Lecture%203. 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. We focus on methods in eight areas of statistical research and maintain expertise in each. 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. Ratios: if CI includes 1, then is not significant The interval contains the true population value 95% of the time. Applications of Statistics in Research Bandit Thinkhamrop, Ph.D. (Statistics) Department of Biostatistics and Demography Faculty of Public Health Khon Kaen University. 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 and Methods - California Center for Population Research ziad taib biostatistics astrazeneca march 7, 2012. types. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Interquartile range Is the range of data from the 25th percentile to the 75th percentile Common component of a box and whiskers plot It is the box, and the line across the box is the median or middle value Rarely, mean will also be displayed. - PowerPoint PPT presentation Number of Views: 637 Avg rating:3.0/5.0 Slides: 67 Provided by: Charles7 - biomedical Signal processing Chapter 1 Introduction Zhongguo Liu Biomedical Engineering School of Control Science and Engineering Analysing continuous data Parametric versus Non-parametric methods. data analysis techniques and statistical softwares. It has millions of presentations already uploaded and available with 1,000s more being uploaded by its users every day. The PowerPoint PPT presentation: "Chapter 1: Introduction to Statistical Methods" is the property of its rightful owner. Clinical Research Methods - . 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. Do not sell or share my personal information. biostatistics 212. today. - 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. 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, ? In fact, statistical methods dominate the scientific research as they include planning, designing, collecting data, analyzing, drawing meaningful interpretation and reporting of research findings. 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. Much more useful than correlation Allows prediction of values of Y rather than just whether there is a relationship between two variable. Statistical methods in NLP - . 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
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