Schedule Introduction Data Analysis--Introduction Data Collection Instruments Issues in Research Design Sample Size Sources of Error STATISTICS IN Power is the ability of a study to avoid a Type II error. Standard error measures the precision of the estimate of a population parameter provided by the sample mean or proportion. We've updated our privacy policy. ? course overview course. Chapter 1: Introduction to Statistical Methods Description: . Ist Yr MSc(N) Princy Francis M We focus on methods in eight areas of statistical research and maintain expertise in each. Statistics by Statistical Research and Training Center Philippine Statistical Association , Inc. (Power point presentation on the different concepts of Statistics) Elementary Statistics by Yonardo A. Gabuyo et. Most commonly used in assessing the estimate of the difference between two groups. RESEARCH (PART 1 Activate your 30 day free trialto continue reading. Dr. Shamanthakamani Narendran M.D. The SlideShare family just got bigger. 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. Chapter 10 Data Monitoring, Monitoring Committee Function, - Chapter 10 Data Monitoring, Monitoring Committee Function & Statistical Methods. The unit staff provide advice about what to do and how to do it as well as . Slide 1. Qualitative Vs. Quantitative Research A step-wise guide to conduct research. Test to Compare Two Population Variances. Now customize the name of a clipboard to store your clips. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. So, the relative, ? 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. Research, Types and objectives of research. Statistical Methods in Clinical Trials - . UCLA STAT 13. 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. 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. - Chapter 1: Introduction and Research Methods What is Psychology? p. The, the lamp post is at x 0. The decision-maker for desk-rejecting a manuscript, Acceptable standard for English language quality, Retraction of articles and how authors should handle it. With so many measurements, simply looking at the data fails to provide an informative account. 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. sumber: Statistical Methods in Clinical Trials II Categorical Data - . Not applicable in categorical data Definition: Sum of all the values in a sample, divided by the number of values. 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. By accepting, you agree to the updated privacy policy. 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 ? Sample Size Calculation Also called power analysis. data analysis techniques and statistical softwares. 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 REACH Resources | Informing more effective humanitarian action 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
4 R $ KT XAYM( "n R $ SJqO& U "n R $ 2N[q The scientific study of behavior and mental processes Philosophical Developments A Question Introduction%20linkage%20analysis,%20Genetic%20markers,%20mapping%20functions%20Lecture%203. When comparing two samples, we usually cannot be sure which is going to be be better. 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. 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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. 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 Click here to review the details. Can be ratio Ratio of the measures has meaning Weight, height, Types of Data Why important? need to solve. Sample Mean Most commonly used measure of central tendency Best applied in normally distributed continuous data. 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. Example: A company advertises the net weight of its cereal is 24 ounces. Ratio of two interval data points has no meaning Temperature in celsius, day of the year). Much more useful than correlation Allows prediction of values of Y rather than just whether there is a relationship between two variable. making, Statistical Methods - Prognostic factors of survival in a randomized phase iii trial (mpact) of weekly nab -paclitaxel. Explanatory & Response Variable in Statistics A quick guide for early career researchers! (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. Introduction to Statistical Computing in Clinical Research - . ADVANCED STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . What is the mean displacement, ltxgt ltmgtl? 1994. page 99 There were statistically significant different BIOS:6610 STATISTICAL METHODS IN CLINICAL TRIALS - . Chapter 1 Introduction. For quantitative data, you can use statistical analysis methods to test relationships between variables. The SlideShare family just got bigger. - 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. And, best of all, it is completely free and easy to use. - 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. 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. marcia a. testa, mph. - 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. Then you can share it with your target audience as well as PowerShow.coms millions of monthly visitors. Sample Size for Continuous Data Stata input: Mean 1 = 20, mean 2 = 30, = .05, power (1-) =.8, std. As N increases, the mean value increases ? Sz_]WMi4}S:4c_KC%. Free access to premium services like Tuneln, Mubi and more. (n1 0?N) N!/(n1! data sharing / standardization. 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. Test of Strength & Direction of Linear Relationship of 2 Quantitative Variables. DESCRIPTIVE). 3rd edition. the spread of the u values about the mean u.
! " 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. Free access to premium services like Tuneln, Mubi and more. Standard Error Significance: Is the basis of confidence intervals A 95% confidence interval is defined by Sample mean (or proportion) 1.96 X standard error Since standard error is inversely related to the sample size: The larger the study (sample size), the smaller the confidence intervals and the greater the precision of the estimate. In fact, statistical methods dominate the scientific research as they include planning, designing, collecting data, analyzing, drawing meaningful interpretation and reporting of research findings. # $ % & ' ( ) * Overview. collecting and describing data. You can read the details below. # $ % & ' ( ) * + , - . 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). 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. If so, share your PPT presentation slides online with PowerShow.com. This course The Physics of systems containing, Classical Newtons Laws ?? 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. TI%)$IJB'mVl~~ {kc$N/^\p% I]zDdA h7+L$"H.1KaP Zs.emeni"^]WON/~whm{+?4sZ@2 !X(5Ze
`gookv mp9@TX_Ku~K%goECcx:n;?(7 Steps of Statistical Applications (Practical guides for beginners) Begin at the conclusion Identify the primary research question Identify . Click here to review the details. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. biostatistics 212. today. Statistical methods are essential for scientific research. Cathy Walker. Here, you can use descriptive statistics tools to summarize the data. - Chapter 15: Likelihood, Bayesian, and Decision Theory AMS 572 Group Members Yen-hsiu Chen, Valencia Joseph, Lola Ojo, Andrea Roberson, Dave Roelfs, - Chapter 1 Section 1 Introduction to the Practice of Statistics. chapter 7(7.1 &7.2): theory and application of the, An Intensive Course in Clinical Research Methods - . Common Statistical Methods for Clinical Research with SAS Examples, Third Edition. Click here to review the details. ? JMCON. The probability of not making a Type II error is 1 - , which is called the power of the test. The independent variable is often seen as influencing, directly or indirectly, the dependent variable. Do not sell or share my personal information, 1. Sample Mode Infrequently reported as a value in studies. (n1 0?N) N!/(n1!n2! We've encountered a problem, please try again. - Enago.tw | Reviso de Texto- Enago.com.br | Ingilizce Dzenleme- Enago.com.tr, Copyright 2023 - ALL RIGHTS RESERVED | Privacy Policy | Terms & Conditions | Contact Us. Would need to do pair-wise tests. The Probability of an occurrence of a particular, Example In throwing a pair of dice, we can give, Note that this probability depends strongly on. For example, tables or graphs are used to organize data, and descriptive values such as the average score are used to summarize data. Statistical Methods in Clinical Research. Free access to premium services like Tuneln, Mubi and more. 3 !1AQa"q2B#$Rb34rC%Scs5&DTdEt6UeuF'Vfv7GWgw 5 !1AQaq"2B#R3$brCScs4%&5DTdEU6teuFVfv'7GWgw ? Statistical methods assist in classification in four ways: in devising probability models for data and classes so that probable classifications for a given set of data can be identified; in developing tests of validity of particular classes produced by a classification scheme; in comparing different classification schemes for effectiveness; and 2. 63^*6oFhdBXP6mkw P_(axEknr_F.VpH^oEB~,xF.Yxl8goKNst=vq~A($rVqg$rQ/$K7v-yG_I/G?WyOKTk3QyIYzp-V^XtwR>sgZa~'C]A|#Ho52;ndYF{Z'#*h
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VUsB9. When the sample size is small, the estimation and testing procedures of Chapter 8 are not appropriate. Zhi Chen Civil Engineering PhD with great quantitative analysis skills actively seeking for a data scientist/analyst position cocke-kasami-younger parsing algorithm: Statistical methods in NLP - . 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 You might even have a presentation youd like to share with others. 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. [A}?-wm}. large data, Statistical Methods - . We've updated our privacy policy. We've updated our privacy policy. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Now customize the name of a clipboard to store your clips. Usually used for 3 or more samples. 2023 SlideServe | Powered By DigitalOfficePro, - - - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - - -. This may lead to a negative study outcome in error. The SlideShare family just got bigger. If two samples, is the same as the T test. I can advise you this service - www.HelpWriting.net Bought essay here. Descriptive Statistics Descriptive statistics are methods for organizing and summarizing data. 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. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Document presentation format: On-screen Show Company: SIMS, UC Berkeley Other titles: Times New Roman Book Antiqua Wingdings pvf-112000 Introduction to Statistical Analysis Approximate (!) > g 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. 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. 3. (Ensemble the French word for assembly). We've encountered a problem, please try again. Ratios: if CI includes 1, then is not significant The interval contains the true population value 95% of the time. 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. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. [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. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. The application of statistical methods extracts information from . Activate your 30 day free trialto continue reading. Remember there is variability among samples- they might seem to come from different populations but they may not. 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. Practical Statistics for Medical Research, Correlation Correlation Coefficient .3 Correlation Coefficient 0 Source: Altman. 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. Well convert it to an HTML5 slideshow that includes all the media types youve already added: audio, video, music, pictures, animations and transition effects. The goal of statistics is to help researchers organize and interpret the data. 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. Confidence Intervals Commonly reported in studies to provide an estimate of the precision of the mean. Activate your 30 day free trialto unlock unlimited reading. )pn1qn2 ? @ n ? " 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. 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, ? The function of statistics in research is to purpose as a tool in conniving research, analyzing its data and portrayal of conclusions there from. Most research studies result in a extensive. - Introduction to Statistics 1.1 An Overview of Statistics 1.2 Data Classification 1.3 Experimental Design * Larson/Farber 4th ed. This can be easily generalized to 2 dimensions. H H JFIF H H Adobe_CM Adobe d Get powerful tools for managing your contents. Statistical Methods. strongly agree, agree, neither agree or disagree, etc. PowerShow.com is brought to you byCrystalGraphics, the award-winning developer and market-leading publisher of rich-media enhancement products for presentations. Spies M.D., MPH Professor of Radiology Georgetown University School of Medicine Washington, DC. Do you have PowerPoint slides to share? (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! 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. We've updated our privacy policy. By accepting, you agree to the updated privacy policy. continuous blood pressure time to event. Similarly, we can, Of course, ltn1gt ltn2gt N(p q) N as it. 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 ? Presentation Transcript. February 13, 2010. Many studies are completed without proper estimate of appropriate study size. Our product offerings include millions of PowerPoint templates, diagrams, animated 3D characters and more. Learn more about our, I am looking for Editing/ Proofreading services for my manuscript, Role of Statistics in Biological Research, Types of Statistical Research Methods That Aid in Data Analysis, Use of Statistical Tools In Research and Data Analysis, publication-worthy figures, tables and charts. dev. Looks like youve clipped this slide to already. Tap here to review the details. continuous data. Statistical methods in medical research. The independent variable usually occurs earlier in time than the dependent variables. christopher s. coffey. Mid-value in interquartile range. 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. It appears that you have an ad-blocker running. It's FREE! N atoms, each with magnetic moment . Applications of Statistics in Research Bandit Thinkhamrop, Ph.D. (Statistics) Department of Biostatistics and Demography Faculty of Public Health Khon Kaen University. Four hundred and twenty nine participants were selected randomly using stratified sampling followed by lottery method. Walker, Glenn A., and Jack Shostak. Research & Expertise - Missing Data & Observational Data Modeling Methods - Record Linkage & Machine Learning Methods Activate your 30 day free trialto unlock unlimited reading. In doing so, the statistician seeks to limit bias, maximize objectivity, and obtain results that are scientifically valid. 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) ? 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. If so, just upload it to PowerShow.com. Introduction to Statistical Computing in Clinical Research - Today. course overviewcourse objectivescourse details: AAEC 4302 STATISTICAL METHODS IN AGRICULTURAL RESEARCH - . The dependent variable is always the property you are trying to explain; it is always the object of the research. 3. 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. 10. 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. If a confidence interval range is very wide, then plausible value might range from very low to very high.