statistical methods in research ppt

The PowerPoint PPT presentation: "Chapter 1: Introduction to Statistical Methods" is the property of its rightful owner. 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). We've encountered a problem, please try again. 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. UCLA STAT 13. You can read the details below. Very helpful- In analysis of height and weight, for a known height, one can predict weight. They, So, its very important to spend some time on. 3rd edition. 2. Chapter 2 - Summary. 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 ? And, again, its all free. 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. Similarly, we can, Of course, ltn1gt ltn2gt N(p q) N as it. JMCON. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Sample Size Calculation Also called power analysis. P Values The probability that any observation is due to chance alone assuming that the null hypothesis is true Typically, an estimate that has a p value of 0.05 or less is considered to be statistically significant or unlikely to occur due to chance alone. Slide 1. The independent variable is often seen as influencing, directly or indirectly, the dependent variable. Now customize the name of a clipboard to store your clips. - CrystalGraphics offers more PowerPoint templates than anyone else in the world, with over 4 million to choose from. The application of statistical methods extracts information from . Click here to review the details. No problem. biostatistics 212. today. 3. Statistical Methods in Clinical Research. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Clipping is a handy way to collect important slides you want to go back to later. allen s chapter 7 j&m s chapters 8 and 12. statistical methods. need to solve 1023, Quantum Schrdingers Equation ?? One-sided vs. Two-sided Most tests should be framed as a two-sided test. DESCRIPTIVE). Each step is of length, axis must be x ml where m a positive or a, Question After N steps, what is the probability. Cathy Walker. 4. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. Many of them are also animated. Do not sell or share my personal information, 1. The function of statistics in research is to purpose as a tool in conniving research, analyzing its data and portrayal of conclusions there from. Click here to review the details. Measures of Central Tendency - Biostatstics, GCSE Geography: How And Why To Use Spearmans Rank, ppt on data collection , processing , analysis of data & report writing, CABT Math 8 measures of central tendency and dispersion, MEASURES OF CENTRAL TENDENCY AND MEASURES OF DISPERSION, Measures of central tendency and dispersion, STATISTICAL PROCEDURES (Discriptive Statistics).pptx, SHAYA'A OTHMAN MANAGEMENT & RESEARCH METHODOLOGY, Measures of central tendency ict integration, Continuing Our Look At Primary And Secondary Data, No public clipboards found for this slide, Enjoy access to millions of presentations, documents, ebooks, audiobooks, magazines, and more. Analysis of Time Series Data 9.1 Basic concepts 9.2 General model formulations 9.3 Smoothing methods 9.4 OLS regression models 9.5 Stochastic time series CHAPTER 2 Research Methods in Industrial/Organizational Psychology. P values, Statistical Methods in Clinical Research James B. 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. You can read the details below. # $ % & ' ( ) * + , - . / 0 1 2 3 4 5 6 7 8 9 : ; = > ? 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. Most commonly used in assessing the estimate of the difference between two groups. ziad taib biostatistics astrazeneca february 22, 2012. types of data. Practical Statistics for Medical Research. 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. Test to compare several means. ADVANCED STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . Table of contents Methods for collecting data Examples of data collection methods Methods for analyzing data strongly agree, agree, neither agree or disagree, etc. cocke-kasami-younger parsing algorithm: Statistical methods in NLP - . (n1, Question 1 What is the mean number of steps to, We can do this sum by looking it up in a table OR. For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data. }>@X'- (W? vORv[K? Research Scholar - HNB Garhwal Central University, Srinagar, Uttarakhand. Clipping is a handy way to collect important slides you want to go back to later. - Enago.tw | Reviso de Texto- Enago.com.br | Ingilizce Dzenleme- Enago.com.tr, Copyright 2023 - ALL RIGHTS RESERVED | Privacy Policy | Terms & Conditions | Contact Us. Activate your 30 day free trialto unlock unlimited reading. 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, ? Practical Statistics for Medical Research, Correlation Correlation Coefficient .3 Correlation Coefficient 0 Source: Altman. marcia a. testa, mph. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Statistical Issues Designing Clinical Research - . 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. 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Tap here to review the details. Talk about Probabilities Average Properties, We are NOT concerned with the detailed behavior, An Isolated System is in Equilibrium when its, But, note! 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 . - 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. We've encountered a problem, please try again. Can be ratio Ratio of the measures has meaning Weight, height, Types of Data Why important? - Chapter 1: Introduction and Research Methods What is Psychology? Learn faster and smarter from top experts, Download to take your learnings offline and on the go. We've updated our privacy policy. methods research methods quantitative methods qualitative methods mathematical statistical methods interviews structured semi structured Download Presentation Research Methods An Image/Link below is provided (as is) to download presentation 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. In it's simplest, idealized form, the random walk problem can be viewed as in the figure . Remember there is variability among samples- they might seem to come from different populations but they may not. d d @ @@ `` H ( c roger l. bertholf, ph.d., dabcc associate, Statistical Methods - . 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. Tap here to review the details. In inferential statistics, we are generally using a sample. When comparing two samples, we usually cannot be sure which is going to be be better. Applications of Statistics in Research Bandit Thinkhamrop, Ph.D. (Statistics) Department of Biostatistics and Demography Faculty of Public Health Khon Kaen University. 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. 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Typically 0.05 is used, Errors Type II error Claiming there is no difference between two samples when in fact there is. gordon c. nagayama hall 355 straub phone: 346-4969 e-mail: gnhall@darkwing.uoregon.edu. Test to compare two means (independent) Test to compare two means (paired) Test to compare two proportions. BIOS:6610 STATISTICAL METHODS IN CLINICAL TRIALS - . Rex Book Store ; Assessment of Learning I and II by Dr. Rosita De Guzman-Santos, LORIMAR Publishing, 2007 Ed. Tap here to review the details. +KRs8@f Pdk )px!` mC#07jd}c^ ! # $ % & ' ( ) * 3 !1AQa"q2B#$Rb34rC%Scs5&DTdEt6UeuF'Vfv7GWgw 5 !1AQaq"2B#R3$brCScs4%&5DTdEU6teuFVfv'7GWgw ? 2022 in a Nutshell Reminiscing the year when opportunities were seized and feats were achieved! ~ :q;M }ARv=vc[NHev]UB E1Gn ?zE. Many studies are completed without proper estimate of appropriate study size. 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. 2023 SlideServe | Powered By DigitalOfficePro, - - - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - - -. A measure of the precision of a sample in estimating the population parameter. You can read the details below. ? 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. 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. Confidence Intervals Commonly reported in studies to provide an estimate of the precision of the mean. Statistics presents a rigorous scientific method for gaining insight into data. Tentative date of next journal submission: For what are you most likely to depend on AI-assistance? Errors Type I error Claiming a difference between two samples when in fact there is none. 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. Tap here to review the details. 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 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 We had, m n1 n2 2n1 N. So, ltmgt 2ltn1gt, ?m m - ltmgt (2n1 N) (2ltn1gt - N) 2(n1, (?m)2 4(?n1)2. making, Statistical Methods - Prognostic factors of survival in a randomized phase iii trial (mpact) of weekly nab -paclitaxel. charles e. mcculloch division of biostatistics. Quantitative vs. Qualitative: Methods and Process The scientific method, also known as a priori or pre-established design. Test to Compare Two Population Variances. descriptive statistics inferential statistics. REACH Resources | Informing more effective humanitarian action

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