statistical methods in research ppt

Activate your 30 day free trialto continue reading. They are all artistically enhanced with visually stunning color, shadow and lighting effects. The dependent variable is always the property you are trying to explain; it is always the object of the research. 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. The unit staff provide advice about what to do and how to do it as well as . We've encountered a problem, please try again. JMCON. Test to Compare Two Population Variances. And, best of all, it is completely free and easy to use. (Ensemble the French word for assembly). Tap here to review the details. Practical Statistics for Medical Research, Correlation Correlation Coefficient .7 Correlation Coefficient -.5 Source: Altman. Clipping is a handy way to collect important slides you want to go back to later. Also called the error. - Enago.tw | Reviso de Texto- Enago.com.br | Ingilizce Dzenleme- Enago.com.tr, Copyright 2023 - ALL RIGHTS RESERVED | Privacy Policy | Terms & Conditions | Contact Us. 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. Statistical Methods in Clinical Trials - . (Pearsons) Chi-Squared (2) Test Used to compare observed proportions of an event compared to expected. 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. Medical Statistics Made Easy, Correlation Perfect Correlation Source: Altman. PPT - Introduction to Statistical Analysis PowerPoint Presentation Statistical Research - Census.gov PPTX REACH Resources | Informing more effective humanitarian action PPT A Brief Introduction to Research - University of Virginia School of You never know which directions study results will go. 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, ? Typically 0.05 is used, Errors Type II error Claiming there is no difference between two samples when in fact there is. Tap here to review the details. Ratio of two interval data points has no meaning Temperature in celsius, day of the year). You can read the details below. Click here to review the details. descriptive statistics inferential statistics. Statistical Methods. By accepting, you agree to the updated privacy policy. Do not sell or share my personal information, 1. 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 ? In inferential statistics, we are generally using a sample. Sometimes, u is called the 1st moment of P(u). ! " u " Confidence Intervals Commonly reported in studies to provide an estimate of the precision of the mean. Looks like youve clipped this slide to already. Schedule Introduction Data Analysis--Introduction Data Collection Instruments Issues in Research Design Sample Size Sources of Error Test to compare two means (independent) Test to compare two means (paired) Test to compare two proportions. Clinical Research Methods - . Role of Statistics in Research - Methods & Tools for Data Analysis Click here to review the details. 8p" O . R $ i4N5y } R $ `N%L B RX R $ M>3O'2 X R $ Methods of Collecting Data biomedical Signal processing ???????? 7 Types of Statistical Analysis Techniques (And Process Steps) This analysis doesnt take into. Similarly, we can, Of course, ltn1gt ltn2gt N(p q) N as it. Overview. Remember there is variability among samples- they might seem to come from different populations but they may not. Do not sell or share my personal information, 1. 3 !1AQa"q2B#$Rb34rC%Scs5&DTdEt6UeuF'Vfv7GWgw 5 !1AQaq"2B#R3$brCScs4%&5DTdEU6teuFVfv'7GWgw ? 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. > @=P p8L\ +Dt{?l$ 1 bv p> x]lepm BViXJC9%Q?GMjR"&O`}g1U.A4}0h)}k$BL/@Cx|v{dfvo~vS C a pT} m[;(u\M#w'l@)d^xp2-@Y]v`[^(Crm^N4' >N+:{j? 6}KyX Data presentation is an extension of data cleaning, as it involves arranging the data for easy analysis. This can be easily generalized to 2 dimensions. 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. Most commonly used in assessing the estimate of the difference between two groups. UCLA STAT 13. Here, you can use descriptive statistics tools to summarize the data. The four types of statistical methods and the - ResearchGate 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. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Quantitative vs. Qualitative: Methods and Process The scientific method, also known as a priori or pre-established design. - PowerPoint PPT presentation Number of Views: 637 Avg rating:3.0/5.0 Slides: 67 Provided by: Charles7 Shermain Puah - Learning Research Analyst - LinkedIn 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. ADVANCED STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . 1994. page 99 63 Tips 6 (b) P-value vs. 95CI (4) Adapted from Armitage, P. and Berry, G. Statistical methods in medical research. marcia a. testa, mph. Chapter 1: Introduction to Statistical Methods Description: . 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, the relative, ? It appears that you have an ad-blocker running. 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.. Most research studies result in a extensive. 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 Dr. Shamanthakamani Narendran M.D. Now customize the name of a clipboard to store your clips. 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. Would need to do pair-wise tests. N. lt(?m)2gt lt(m - ltmgt)2gt in the net displacement? Statistics in research - SlideShare Practical Statistics for Medical Research, Correlation Correlation Coefficient .3 Correlation Coefficient 0 Source: Altman. 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. Free access to premium services like Tuneln, Mubi and more. Free access to premium services like Tuneln, Mubi and more. Ist Yr MSc(N) Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Looks like youve clipped this slide to already. Rex Book Store ; Assessment of Learning I and II by Dr. Rosita De Guzman-Santos, LORIMAR Publishing, 2007 Ed. When designing a study, one needs to determine how large a study is needed. - 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. The SlideShare family just got bigger. lt(?n1)2gt (in general). - Chapter 1: Introduction and Research Methods What is Psychology? gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: gnhall@darkwing.uoregon.edu. PowerShow.com is a leading presentation sharing website. continuous blood pressure time to event. sumber: Statistical Methods in Clinical Trials II Categorical Data - . [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. PPT Quantitative Methods - LSU The independent variable usually occurs earlier in time than the dependent variables. 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. supported by the institute for clinical and translational, Practical Applications of Statistical Methods in the Clinical Laboratory - . PPT Describing and Presenting Data - shsu.edu Research Scholar at Indian Institute of Technology, Madras. 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. - An Introduction to Statistical Problem Solving in Geography - 2nd Edition . 2. It's FREE! Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Also called a error. Activate your 30 day free trialto continue reading. P Values and Confidence Intervals P values provide less information than confidence intervals. a large study dooms you to statistical significance Anonymous Statistician. diana trandabat 2013-2014. cky parsing. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. PPT - Chapter 1: Introduction to Statistical Methods PowerPoint Statistical Method - an overview | ScienceDirect Topics 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. We've updated our privacy policy. If a confidence interval range is very wide, then plausible value might range from very low to very high. BIOS:6610 STATISTICAL METHODS IN CLINICAL TRIALS - . diana trandabat 2013-2014. the sentence as a string of words e.g i saw the lady with. Test about a slope. 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. Now customize the name of a clipboard to store your clips. The aim of this study was to compare PPT and traditional lecture method in material understandability, effectiveness and attitude among university students. We've encountered a problem, please try again. Can be ratio Ratio of the measures has meaning Weight, height, Types of Data Why important? Hidden error because cant be detected without a proper power analysis. This course The Physics of systems containing, Classical Newtons Laws ?? The sample is chosen by selecting a random starting point and then picking every i th element in succession from the sampling frame. 3. christopher s. coffey. PPT - Overview Biostatistics Applications of Statistics in Research They, So, its very important to spend some time on. 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. Chapter 1 Introduction. It has millions of presentations already uploaded and available with 1,000s more being uploaded by its users every day. ? Very helpful- In analysis of height and weight, for a known height, one can predict weight. 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. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: Clinical Research Methods - . 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. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. For quantitative data, you can use statistical analysis methods to test relationships between variables. chapter 7(7.1 &7.2): theory and application of the, An Intensive Course in Clinical Research Methods - . Use a Statistical description of such a system. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: gnhall@darkwing.uoregon.edu. Statistical Methods - SlideShare It appears that you have an ad-blocker running. Clinical Investigation and Outcomes Research Statistical Issues in Designing Clinical Research - . - 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. - Introduction to Statistics 1.1 An Overview of Statistics 1.2 Data Classification 1.3 Experimental Design * Larson/Farber 4th ed. 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). In her current role, she is involved with the collection and analysis of big data for institutional and pedagogical research, and presentation of findings to internal . REACH Resources | Informing more effective humanitarian action - Chapter 8: Introduction to Find the lower and upper confidence limits. Sample size for proportions Stata input: Mean 1 = .2, mean 2 = .3, = .05, power (1-) =.8. Statistics and Methods - California Center for Population Research RESEARCH (PART 1 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, ? 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Not applicable in categorical data Definition: Sum of all the values in a sample, divided by the number of values.  4 R $ KT XAYM( "n R $ SJqO& U "n R $ 2N[q Create stunning presentation online in just 3 steps. 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. @ 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 &( . If two samples, is the same as the T test. Even if its Macroscopic parameters, Section 1.1 Elementary Statistical Concepts, Some math preliminaries ( methods) for the next, To treat statistical physics problems, we must, Keep in mind Whenever we want to describe a. 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. 2022 in a Nutshell Reminiscing the year when opportunities were seized and feats were achieved! the spread of the u values about the mean u. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. 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. biostatistics 212. today. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Chapter 2 - Summary. Example: A company advertises the net weight of its cereal is 24 ounces. large data, Statistical Methods - . 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 With so many measurements, simply looking at the data fails to provide an informative account. 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. 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. As N increases, the mean value increases ? And theyre ready for you to use in your PowerPoint presentations the moment you need them. (PDF) Use of Statistics in Research Activate your 30 day free trialto continue reading. 10. Our product offerings include millions of PowerPoint templates, diagrams, animated 3D characters 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. Confidence Intervals May be used to assess a single point estimate such as mean or proportion. biostatistics 212 lecture 1. today. If so, just upload it to PowerShow.com. or the 2nd Moment of P(u) about the mean. Free access to premium services like Tuneln, Mubi and more. We've updated our privacy policy. Statistical methods rcm business 2.3k views 34 slides Basics stat ppt-types of data Farhana Shaheen 23.3k views 35 slides Introduction to statistics akbhanj 31k views 18 slides Spss an introduction Suresh Thengumpallil 12.1k views 25 slides Data Ashutosh Mittal 26.8k views 45 slides 1.2 types of data Long Beach City College 1.8k views Sample Size for Continuous Data Stata input: Mean 1 = 20, mean 2 = 30, = .05, power (1-) =.8, std. Ratios: if CI includes 1, then is not significant The interval contains the true population value 95% of the time. Blackwell Scientific Publications, Oxford. Test of Strength & Direction of Linear Relationship of 2 Quantitative Variables. Cathy Walker. 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 . It appears that you have an ad-blocker running. It appears that you have an ad-blocker running. Sampling.ppt - Google Slides Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. STATISTICS IN We had, m n1 n2 2n1 N. So, ltmgt 2ltn1gt, ?m m - ltmgt (2n1 N) (2ltn1gt - N) 2(n1, (?m)2 4(?n1)2. The probability of stepping to, to the left is q 1 p. In general, q ? dev. 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.

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