Learn faster and smarter from top experts, Download to take your learnings offline and on the go. (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. ERIC - EJ1051853 - A Comparative Study on Power Point Presentation and august 12, 2009. 3. 1994. page 99 There were statistically significant different 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. Arriving at the Junction of Statistics and Biology: My Journey - 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. PPT - Statistical Methods PowerPoint Presentation, free download - ID Do not sell or share my personal information, 1. Now customize the name of a clipboard to store your clips. Ratios: if CI includes 1, then is not significant The interval contains the true population value 95% of the time. Very helpful- In analysis of height and weight, for a known height, one can predict weight. Statistical methods - Latest research and news | Nature (Pearsons) Chi-Squared (2) Test Used to compare observed proportions of an event compared to expected. - 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. qlrFFQ~]$M\I%?TI%)345 NKaa#>:Gc 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. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. You might get some help from www.HelpWriting.net Success and best regards! 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.. We've encountered a problem, please try again. roger l. bertholf, ph.d., dabcc associate, Statistical Methods - . By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. 4. 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. The independent variable is often seen as influencing, directly or indirectly, the dependent variable. James B. This can be easily generalized to 2 dimensions. Click here to review the details. Sampling.ppt - Google Slides ` / 0 D A r i a l G r a n d e 0 P P \, O0 D L u c i d a G r a n d e 0 P P \, O0 @ . u " Looks like youve clipped this slide to already. Data presentation is an extension of data cleaning, as it involves arranging the data for easy analysis. Mid-value in interquartile range. 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. All available places can be occupied in, Note However! 10. 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. Many of them are also animated. Overview. And, best of all, it is completely free and easy to use. Whatever your area of interest, here youll be able to find and view presentations youll love and possibly download. [A}?-wm}. CCPR offers "drop-in" statistical consulting services to meet short-term needs of CCPR affiliates. We've updated our privacy policy. The goal of statistics is to help researchers organize and interpret the data. PPT - Chapter 1: Introduction to Statistical Methods PowerPoint So, the relative, ? It appears that you have an ad-blocker running. 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 ? They'll give your presentations a professional, memorable appearance - the kind of sophisticated look that today's audiences expect. - Introduction linkage analysis, Genetic markers, mapping functions Lecture 3 Background Readings: Chapter 5 & 6 (190-193) of An introduction to Genetics, Griffiths et Chapter 15: Likelihood, Bayesian, and Decision Theory. Sample Size Calculation Also called power analysis. - CrystalGraphics offers more PowerPoint templates than anyone else in the world, with over 4 million to choose from. And, again, its all free. 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 diana trandabat 2013-2014. the sentence as a string of words e.g i saw the lady with. Is the most common value More frequently used to describe the distribution of data Uni-modal, bi-modal, etc. The scientific study of behavior and mental processes Philosophical Developments A Question Introduction%20linkage%20analysis,%20Genetic%20markers,%20mapping%20functions%20Lecture%203. Similarly, we can, Of course, ltn1gt ltn2gt N(p q) N as it. Sample Size for Continuous Data Stata input: Mean 1 = 20, mean 2 = 30, = .05, power (1-) =.8, std. - 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. Not applicable in categorical data Definition: Sum of all the values in a sample, divided by the number of values. Practical Statistics for Medical Research, Correlation Correlation Coefficient .3 Correlation Coefficient 0 Source: Altman. Free access to premium services like Tuneln, Mubi and more. Do not sell or share my personal information. When comparing two samples, we usually cannot be sure which is going to be be better. Four hundred and twenty nine participants were selected randomly using stratified sampling followed by lottery method. Selection of appropriate statistical methods for data analysis 12.1 - Summary of Statistical Techniques | STAT 500 The probability of stepping to, to the left is q 1 p. In general, q ? data analysis techniques and statistical softwares. It's FREE! For routine medical research, use only two-sided tests. But m 2n1 N, so n1 ()(N, n2 N - n1 ()(N - m). Activate your 30 day free trialto continue reading. STATISTICAL ANALYSIS lt(?n1)2gt (in general). - Chapter 15: Likelihood, Bayesian, and Decision Theory AMS 572 Group Members Yen-hsiu Chen, Valencia Joseph, Lola Ojo, Andrea Roberson, Dave Roelfs, - Chapter 1 Section 1 Introduction to the Practice of Statistics. Clipping is a handy way to collect important slides you want to go back to later. Walker, Glenn A., and Jack Shostak. 2. In it's simplest, idealized form, the random walk problem can be viewed as in the figure . {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 Hidden error because cant be detected without a proper power analysis. More than one method is . For quantitative data, you can use statistical analysis methods to test relationships between variables. We had, m n1 n2 2n1 N. So, ltmgt 2ltn1gt, ?m m - ltmgt (2n1 N) (2ltn1gt - N) 2(n1, (?m)2 4(?n1)2. Usually used for 3 or more samples. - Chapter 1: Introduction and Research Methods What is Psychology? The probability of not making a Type II error is 1 - , which is called the power of the test. Also called the error. PPT - Introduction to Statistical Analysis PowerPoint Presentation Clipping is a handy way to collect important slides you want to go back to later. Confidence Intervals Commonly reported in studies to provide an estimate of the precision of the mean. 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) ? If a confidence interval range is very wide, then plausible value might range from very low to very high. PPT Describing and Presenting Data - shsu.edu Each step is of length, axis must be x ml where m a positive or a, Question After N steps, what is the probability. PPT Introduction to Statistical Analysis - UC Berkeley School of Information the spread of the u values about the mean u. - An Introduction to Statistical Problem Solving in Geography - 2nd Edition . > g Research & Expertise - Missing Data & Observational Data Modeling Methods - Record Linkage & Machine Learning Methods 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. You can read the details below. 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 Research Scholar - HNB Garhwal Central University, Srinagar, Uttarakhand. Chapter 2 - Summary. This analysis doesnt take into. Clarification Standard Deviation measures the variability or spread of the data in an individual sample. Descriptive Statistics Descriptive statistics are methods for organizing and summarizing data. UCLA STAT 13. When designing a study, one needs to determine how large a study is needed. A measure of the precision of a sample in estimating the population parameter. Sometimes, u is called the 1st moment of P(u). For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data. Sample Mode Infrequently reported as a value in studies. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. The application of statistical methods extracts information from . - Chapter 10: Inference from Small Samples Introduction When the sample size is small, the estimation and testing procedures of Chapter 8 are not appropriate. Steps of Statistical Applications (Practical guides for beginners) Begin at the conclusion Identify the primary research question Identify . REACH Resources | Informing more effective humanitarian action 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). 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. Do you have PowerPoint slides to share? Introduction to Research Methods in Education, Research an overview: A Tutorial PowerPoint Presentation by Ramesh Adhikari, Lecture 7 research methodology in counselling, Newham College University Centre Stratford Newham, Research Process in Social Science Research, 01 tajuk, masalah & objektif kajian penyelidikan tindakan, Research presentation on tools and methods of data collection, Research data collection methods and tools, Qualitative and quantitative methods of research, NurseReview.Org - Study Skills and Test Strategies for the New Nursing Student, On Being A Successful Graduate Student In The Sciences, Dev Sanskriti Vishwavidyalaya (University), Role of yoga in tension outlets of children, Sravana shakthi hearing disorders in children, Cell phone use on child development and behavior, GERD (gastroesophageal reflux disease) in children, Congratulation and Compliment-SlidesCarnival_02.ppt, ANATOMY EMBRYOLOGY AND IMAGING OF SVC.pptx, first language, second and additional language.pptx, Uses knowledge of text structure to glean the information he/she needs, College Achievement Certificates _ by Slidesgo.pptx, CONTEMPORARY ARTS IN THE REGION week 4-5.pptx, fitnesstestingingeriatics-161020102751.pdf, Class 9_Chapter 7_Triangles (Basic definitions ) Lecture 1, No public clipboards found for this slide, Enjoy access to millions of presentations, documents, ebooks, audiobooks, magazines, and more. If so, just upload it to PowerShow.com. Zhi Chen Civil Engineering PhD with great quantitative analysis skills actively seeking for a data scientist/analyst position Quantitative vs. Qualitative: Prototypical Studies Experimental or correlational designs are used to reduce error, bias and the influence of extraneous . 5. In inferential statistics, we are generally using a sample. You can unsubscribe at any time by clicking on the unsubscribe link in the newsletter. 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. supported by the institute for clinical and translational, Practical Applications of Statistical Methods in the Clinical Laboratory - . - PowerPoint PPT presentation Number of Views: 637 Avg rating:3.0/5.0 Slides: 67 Provided by: Charles7 3 !1AQa"q2B#$Rb34rC%Scs5&DTdEt6UeuF'Vfv7GWgw 5 !1AQaq"2B#R3$brCScs4%&5DTdEU6teuFVfv'7GWgw ? What is the mean displacement, ltxgt ltmgtl? Now customize the name of a clipboard to store your clips. Now customize the name of a clipboard to store your clips. 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. Most commonly used in assessing the estimate of the difference between two groups. Free access to premium services like Tuneln, Mubi and more. Tap here to review the details. N. lt(?m)2gt lt(m - ltmgt)2gt in the net displacement? 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. For example, tables or graphs are used to organize data, and descriptive values such as the average score are used to summarize data. large data, Statistical Methods - . 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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