If so, share your PPT presentation slides online with PowerShow.com. christopher s. coffey. Click here to review the details. 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 ? Activate your 30 day free trialto continue reading. Statistical research is the rigorous development of improved or new statistical methods grounded in probability and statistical theory. 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. JMCON. When designing a study, one needs to determine how large a study is needed. 5. 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. And theyre ready for you to use in your PowerPoint presentations the moment you need them. Usually used for 3 or more samples. The sample is chosen by selecting a random starting point and then picking every i th element in succession from the sampling frame. Not applicable in categorical data Definition: Sum of all the values in a sample, divided by the number of values. For routine medical research, use only two-sided tests. For example, suppose we measure the weight of 100 patients in a study. {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 - Introduction to Statistics 1.1 An Overview of Statistics 1.2 Data Classification 1.3 Experimental Design * Larson/Farber 4th ed. }>@X'- (W? vORv[K? Do not sell or share my personal information, 1. [A}?-wm}. The SlideShare family just got bigger. 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. ? 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. Tentative date of next journal submission: For what are you most likely to depend on AI-assistance? H H JFIF H H Adobe_CM Adobe d A very large study might find that a difference of .1 on a VAS Scale of 0 to 10 is statistically significant but it may be of no clinical significance A large study might find many significant findings during multivariable analyses. PowerShow.com is brought to you byCrystalGraphics, the award-winning developer and market-leading publisher of rich-media enhancement products for presentations. We've updated our privacy policy. Our product offerings include millions of PowerPoint templates, diagrams, animated 3D characters and more. 2023 SlideServe | Powered By DigitalOfficePro, - - - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - - -. 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We've encountered a problem, please try again. The independent variable is often seen as influencing, directly or indirectly, the dependent variable. 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. You can read the details below. Table of contents Methods for collecting data Examples of data collection methods Methods for analyzing data Introduction Observational Data Descriptive statistics involve summarizing a collection of data. diana trandabat 2013-2014. cky parsing. - 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 scientific study of behavior and mental processes Philosophical Developments A Question Introduction%20linkage%20analysis,%20Genetic%20markers,%20mapping%20functions%20Lecture%203. Sample Size for Continuous Data Stata input: Mean 1 = 20, mean 2 = 30, = .05, power (1-) =.8, std. Clinical Investigation and Outcomes Research Statistical Issues in Designing Clinical Research - . By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Statistical methods in medical research. The independent variable usually occurs earlier in time than the dependent variables. d d @ @@ `` H ( c A P value provides only a probability that estimate is due to chance A P value could be statistically significant but of limited clinical significance. - An Introduction to Statistical Problem Solving in Geography - 2nd Edition . Schedule Introduction Data Analysis--Introduction Data Collection Instruments Issues in Research Design Sample Size Sources of Error 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. Very helpful- In analysis of height and weight, for a known height, one can predict weight. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. )pn1qn2 ? Sample Size Calculation Also called power analysis. continuous blood pressure time to event. Data presentation. Click here to review the details. 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. As N increases, the mean value increases ? Methods of Collecting Data biomedical Signal processing ???????? Clipping is a handy way to collect important slides you want to go back to later. biostatistics 212. today. Comparative descriptive survey research design was employed to answer the research questions raised. 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 ? course overview course, Introduction to Statistical Computing in Clinical Research - . Chapter 2 - Summary. By accepting, you agree to the updated privacy policy. Looks like youve clipped this slide to already. roger l. bertholf, ph.d., dabcc associate, Statistical Methods - . Introduction to Statistical Computing in Clinical Research - Today. course overviewcourse objectivescourse details: AAEC 4302 STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . It appears that you have an ad-blocker running. 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, ? 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. ? Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Errors Type I error Claiming a difference between two samples when in fact there is none. Free access to premium services like Tuneln, Mubi and more. We had, m n1 n2 2n1 N. So, ltmgt 2ltn1gt, ?m m - ltmgt (2n1 N) (2ltn1gt - N) 2(n1, (?m)2 4(?n1)2. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Data presentation can also help you determine the best way to present the data based on its arrangement. 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. Now customize the name of a clipboard to store your clips. Statistics presents a rigorous scientific method for gaining insight into data. (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. 3rd edition. ~ :q;M }ARv=vc[NHev]UB E1Gn ?zE. Most research studies result in a extensive. ! " Statistical Methods. It appears that you have an ad-blocker running. (Ensemble the French word for assembly). James B. Do not sell or share my personal information, 1. Remember there is variability among samples- they might seem to come from different populations but they may not. P values, Statistical Methods in Clinical Research James B. Free access to premium services like Tuneln, Mubi and more. chapter 7(7.1 &7.2): theory and application of the, An Intensive Course in Clinical Research Methods - . More than one method is . 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.. Activate your 30 day free trialto unlock unlimited reading. Confidence Intervals Commonly reported in studies to provide an estimate of the precision of the mean. [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. Confidence Intervals May be used to assess a single point estimate such as mean or proportion. UCLA STAT 13. We've encountered a problem, please try again. @ 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 &( . Statistical methods in NLP - . Activate your 30 day free trialto continue reading. Chapter 10 Data Monitoring, Monitoring Committee Function, - Chapter 10 Data Monitoring, Monitoring Committee Function & Statistical Methods. Medical Statistics Made Easy, Correlation Perfect Correlation Source: Altman. 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. During her talk, Li will share personal and . 3rd edition. Each step is of length, axis must be x ml where m a positive or a, Question After N steps, what is the probability. descriptive statistics inferential statistics. Practical Statistics for Medical Research, Correlation Correlation Coefficient .3 Correlation Coefficient 0 Source: Altman. Clipping is a handy way to collect important slides you want to go back to later. al. 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. 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 gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: gnhall@darkwing.uoregon.edu. Get powerful tools for managing your contents. Do you have PowerPoint slides to share? Descriptive Statistics Descriptive statistics are methods for organizing and summarizing data. The application of statistical methods extracts information from . STATISTICS IN Chapter 1 Introduction. For example, tables or graphs are used to organize data, and descriptive values such as the average score are used to summarize data. By accepting, you agree to the updated privacy policy. 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. p. The, the lamp post is at x 0. Tap here to review the details. Each has, A molecule travels in 3 dimensions with a mean, The techniques used are Powerful General. / 0 1 2 3 4 5 6 7 8 9 : ; = > ?  4 R $ KT XAYM( "n R $ SJqO& U "n R $ 2N[q The Statistics and Methods Core supports CCPR research and training by providing expertise in the choice, development, and implementation of statistical methodology. This analysis doesnt take into. Activate your 30 day free trialto continue reading. Cathy Walker. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: Clinical Research Methods - . Activate your 30 day free trialto unlock unlimited reading. diana trandabat 2013-2014. the sentence as a string of words e.g i saw the lady with. The SlideShare family just got bigger. You never know which directions study results will go. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. For quantitative data, you can use statistical analysis methods to test relationships between variables. Clarification Standard Deviation measures the variability or spread of the data in an individual sample. 63^*6oFhdBXP6mkw P_(axEknr_F.VpH^oEB~,xF.Yxl8goKNst=vq~A($rVqg$rQ/$K7v-yG_I/G?WyOKTk3QyIYzp-V^XtwR>sgZa~'C]A|#Ho52;ndYF{Z'#*h 0t`s?gai4 VUsB9. N. lt(?m)2gt lt(m - ltmgt)2gt in the net displacement? - CHAPTER 3 Review of Statistics INTRODUCTION The creation of histograms and probability distributions from empirical data. You can read the details below. You might even have a presentation youd like to share with others. Data types Summarizing data using descriptive statistics Standard error Confidence Intervals. N atoms, each with magnetic moment . Rex Book Store ; Assessment of Learning I and II by Dr. Rosita De Guzman-Santos, LORIMAR Publishing, 2007 Ed. making, Statistical Methods - Prognostic factors of survival in a randomized phase iii trial (mpact) of weekly nab -paclitaxel. Forget the drunk, lets get back to Physics! Standard error measures the precision of the estimate of a population parameter provided by the sample mean or proportion. Four hundred and twenty nine participants were selected randomly using stratified sampling followed by lottery method. Use a Statistical description of such a system. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: gnhall@darkwing.uoregon.edu. 3 !1AQa"q2B#$Rb34rC%Scs5&DTdEt6UeuF'Vfv7GWgw 5 !1AQaq"2B#R3$brCScs4%&5DTdEU6teuFVfv'7GWgw ? biostatistics 212 lecture 1. today. One-sided vs. Two-sided Most tests should be framed as a two-sided test. 2. - Chapter 8: Introduction to Find the lower and upper confidence limits. ? 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 Explanatory & Response Variable in Statistics A quick guide for early career researchers! Activate your 30 day free trialto unlock unlimited reading. 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. Activate your 30 day free trialto continue reading. You can read the details below. You might get some help from www.HelpWriting.net Success and best regards! Sample Mode Infrequently reported as a value in studies. When the sample size is small, the estimation and testing procedures of Chapter 8 are not appropriate. And, again, its all free. 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. types of data. +KRs8@f Pdk )px!` mC#07jd}c^ ! Clinical Research Methods - . Many of them are also animated. Much more useful than correlation Allows prediction of values of Y rather than just whether there is a relationship between two variable. 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. So, we need to divide the result by n1!n2! It has millions of presentations already uploaded and available with 1,000s more being uploaded by its users every day. Blackwell Scientific Publications, Oxford. 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. Now customize the name of a clipboard to store your clips. Test to Compare Two Population Variances. Most commonly used in assessing the estimate of the difference between two groups. Here, you can use descriptive statistics tools to summarize the data. By accepting, you agree to the updated privacy policy. (n1 0?N) N!/(n1!n2! Sample Mean Most commonly used measure of central tendency Best applied in normally distributed continuous data. REACH Resources | Informing more effective humanitarian action Do not sell or share my personal information, 1. They, So, its very important to spend some time on. Now customize the name of a clipboard to store your clips. B^uuhm?}{].~}v_J;xogJY]@.)oqC? Then you can share it with your target audience as well as PowerShow.coms millions of monthly visitors. Tap here to review the details. 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 . I can advise you this service - www.HelpWriting.net Bought essay here. So, the relative, ? Ratios: if CI includes 1, then is not significant The interval contains the true population value 95% of the time. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Chapter 1: Introduction to Statistical Methods Description: . Similarly, we can, Of course, ltn1gt ltn2gt N(p q) N as it. If a confidence interval range is very wide, then plausible value might range from very low to very high. Zhi Chen Civil Engineering PhD with great quantitative analysis skills actively seeking for a data scientist/analyst position This can be easily generalized to 2 dimensions. 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. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Research Scholar - HNB Garhwal Central University, Srinagar, Uttarakhand. 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. Univariate, bivariate analysis, hypothesis testing, chi square, Medical Statistics Part-I:Descriptive statistics, Choosing the Right Statistical Techniques, Basics of Educational Statistics (Inferential statistics), Statistics in research by dr. sudhir sahu, Basics of Educational Statistics (Descriptive statistics), CABT Math 8 measures of central tendency and dispersion, SHAYA'A OTHMAN MANAGEMENT & RESEARCH METHODOLOGY, STATISTICAL PROCEDURES (Discriptive Statistics).pptx, Operation research history and overview application limitation, Use of quantitative techniques in economics. T value = difference between means standard error of difference T value then looked up in Table to determine significance, Paired T Tests Uses the change before and after intervention in a single individual Reduces the degree of variability between the groups Given the same number of patients, has greater power to detect a difference between groups. qlrFFQ~]$M\I%?TI%)345 NKaa#>:Gc 3. In inferential statistics, we are generally using a sample. If two samples, is the same as the T test. large data, Statistical Methods - . Tap here to review the details. Power is the ability of a study to avoid a Type II error. Overview. 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. 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. Applications of Statistics in Research Bandit Thinkhamrop, Ph.D. (Statistics) Department of Biostatistics and Demography Faculty of Public Health Khon Kaen University. The function of statistics in research is to purpose as a tool in conniving research, analyzing its data and portrayal of conclusions there from. Dr. Shamanthakamani Narendran M.D. - PowerPoint PPT presentation Number of Views: 637 Avg rating:3.0/5.0 Slides: 67 Provided by: Charles7 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. 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.