first 15 years • Adams‚ DC and Anthony‚ CD (1996) Using randomisation techniques to analyse behavioural data • Bart‚ J‚ Fligner‚ MA and Notz‚ WI (1998) Sampling and Statistical Methods for Behavioural Ecologists • Dytham‚ C (1999) Choosing and Using Statistics – A Biologists Guide. Blackwell Science Ltd • Martin‚ P and Bateson‚ P (1993) Measuring Behaviour. An Introductory Guide‚ Second Edition • Crockett‚ CM (1996) Data collection in the zoo setting emphasising behavior. In: Mammals in Captivity; Principles
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particularly geography and biology. There are two accepted measures of rank correlation‚ Spearman’s and Kendall’s; of these‚ Spearman’s is the more widely used. In statistics‚ Spearman ’s rank correlation coefficient or Spearman ’s rho‚ named after Charles Spearman and often denoted by the Greek letter (rho) or as ‚ is a non-parametric measure of statistical dependence between two variables. It assesses how well the relationship between two variables can be described using a monotonic function. If
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characteristic of statistics. ANSWER 1 Various characteristics of statistics as summarized as under : 1. Statistics deals with an aggregate of facts. A single figure cannot be analyzed. 2. Statistics gets affected to a great extent by multiplicity of causes The Statistics of the yield of a crop is the result of several factors‚ such as the fertility of soil‚ amount of rainfall‚ the quality of seed used‚ the quality and quantity of fertilizer used. 3. Statistics are numerically expressed
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Sharp ratio (yearly) | 0.402655 | 0.156477 | 0.49135 | 0.005247 | 0.239288 | Next‚ we perform a significance test for the estimated Sharpe ratios. Assume that returns are IID. The hypotheses for the test statistic are: H0: sri = 0 H1: sri ≠ 0 (sri < 0 or sri > 0) The test statistic is then defined as sri ~ N(0‚ 1+12sri2T) Assume 5% significance level‚ we calculate the P-value in Excel for each portfolio using
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SciVerse ScienceDirect Physica A journal homepage: www.elsevier.com/locate/physa Conditional independence graph for nonlinear time series and its application to international financial markets Wei Gao a‚∗ ‚ Hongxia Zhao b a b School of Statistics‚ Xi’an University of Finance and Economics‚ Xi’an Shaanxi 710061‚ China School of College English‚ Xi’an University of Finance and Economics‚ Xi’an Shaanxi 710061‚ China article info abstract Conditional independence graphs are proposed
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Business Research and Statistics | Copyright © 2012‚ 2011‚ 2009‚ 2008 by University of Phoenix. All rights reserved. Course Description This course prepares students to apply statistics and probability concepts to business decisions. Students learn important criterion for developing effective research questions‚ including the creation of appropriate sampling populations and instruments. Other topics include descriptive statistics‚ probability concepts
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Published on Explorable.com (https://explorable.com) Statistics Tutorial This statistics tutorial is a guide to help you understand key concepts of statistics and how these concepts relate to the scientific method and research. Scientists frequently use statistics to analyze [1] their results. Why do researchers use statistics? [2] Statistics can help understand a phenomenon by confirming or rejecting a hypothesis. It is vital to how we acquire knowledge to most scientific theories. You don’t need
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California State University‚ Sacramento Serge Lee‚ Ph.D. Division of Social Work Mariposa Hall‚ 4025 leesc@csus.edu A Quick Guide to SPSS Windows[1] Introduction SPSS for Windows provides a powerful statistical analysis and data management system in a graphical environment‚ using descriptive menus and simple dialog boxes to do most of the work for you. Most tasks can be accomplished simply by pointing and clicking the mouse. In addition to the simple point-and-click
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METHODS FOR POSTGRADUATE STUDY NV4602 Data Analysis: Exploring Relationships Ethical Use of Data Descriptive Statistics Last session review Descriptive Statistics “The sample consisted of 300 company employees (52% male‚ 48% female)‚ ranging in age from 21 to 52 years (mean = 30 years‚ standard deviation = 5 years).” (H.L.‚ 2013‚ p.24) lbic.navitas.com navitas.com Descriptive Statistics “The sample consisted of 300 company employees (52% male‚ 48% female)‚ ranging in age from 21 to 52 years (mean
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without missing responses ..................................................................... 7 Section 2: Frequencies without descriptive & with missing responses ...................................... 8 Section 3: Frequencies with descriptive statistics ...................................................................... 9 Ordinal data ............................................................................................................................. 9 Interval/Ratio data ..........
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