prior permission from the Society 155 Legal and Criminological Psychology (2006)‚ 11‚ 155–177 q 2006 The British Psychological Society The British Psychological Society www.bpsjournals.co.uk Invited article A fundamental attribution error? Rethinking cognitive distortions† Shadd Maruna1* and Ruth E. Mann2 1 2 Queen’s University Belfast‚ Northern Ireland‚ UK HM Prison Service‚ London‚ UK The notion of ‘cognitive distortion’ has become enshrined in the offender treatment literature
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not = 440 Statistic 4.9 With 98% confidence Lower limit 3.05348411 Upper limit 24.7249703 With 98% confidence we cannot reject Ho since the statistic is inside the acceptance zone b) Check the same hypothesis with 95% confidence. With 95% confidence Lower limit 3.81574825 Upper limit 21.9200493 With 95% confidence we cannot reject Ho since the statistic is inside
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How to Lie with Statistics Summary There are some people that rely heavily on the statistical information provided by the media‚ government‚ and other research groups in order to form opinions or come to a conclusion on a particular idea or product. However they fail to realize that a lot of the time the data is manipulated in such a way that leads them to believe something that is not actually the case. Statistics can lie in many ways the first way is by using a sample that has a bias. For instance
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|T F |1. |If on average y increases as x increases‚ the correlation coefficient is positive. | |T F |2. |Pearson’s correlation coefficient‚ r‚ does not depend on the units of measurement of the two variables. | |T F |3. |The value of Pearson’s r is always between 0 and 1. | |T F |4. |If r is close to 1‚ then the points lie close to a straight line with a positive
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Syllabus for Statistics Course No. 21090024 Period：54 Credit：3 Course Nature：Compulsive Assessment: Usually 10%‚ Group Work 20%‚ Final Exam70% Textbook： Statistics(3rd Edition)， Junping Jia，Xiaoqun He，Yongjin Jin，China Renmin University Press，2007 Reference： Statistics for Business and Economics(7th Edition) Anderson‚ D.R.‚ & Sweeney‚ D.J. & Williams‚ T.A. 1.Introduction Statistics is a core curriculum for students in finance and economics major‚ which is a science method that starts with data
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Mid-Exam for Statistics 2 for IBA 12 March 2013; duration: two hours It is NOT allowed to use a graphical‚ programmable calculator; only a simple pocket calculator is allowed. Write the answers to the questions on the attached answering form (on pages 7 and 8); only the answers‚ no derivations. (For this midterm‚ only the final answers to each individual question count.) This mid-exam contains 8 pages: 4 pages with information and three exercises‚ 1 page with a few formulae and 2 pages for
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BUS 105e: Statistics By Dr Tony Halim GBA: 27 February 2013 Done by: Koh En Song Andrew (Q1211397) Melissa Teo Kah Leng (E1011088) Woon Wei Jie Jared T 04 1. Over the span of 100 days‚ the total revenue for Unicafe North and Unicafe West is $21876.60 and $22042.00 respectively. The average revenue for Unicafe North is $218.77. The average revenue for Unicafe West is $220.42. The highest revenue occurred on the 88th day for both outlets. The lowest revenue occurred on 39th day for
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Inferential Statistics Drawing Conclusions based on Samples Introduction This chapter introduces how you can use data from a sample to draw conclusions about the larger population from which the sample was taken. Data often arises from the results of a survey of individuals. For example‚ the management of a fast food chain might be interested in determining the total number of dollars that Baylor students spend each year eating in Waco fast food restaurants. The fast food chain would
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Inferential Statistics and Findings Erick Mart QNT/561 August 25th 2014 Mario LOPEZ Inferential Statistics and Findings Inferential Statistic is the process of drawing conclusions from data that are subject to random variation‚ for example‚ observational errors or sampling variation. Our team uses inferential statistic to compare two groups‚ which are Melks and DHL. This paper outlines the sampling and data collection procedure used to test the null hypothesis. The null and alternate hypotheses
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Chapter 12 Simple Linear Regression Case Problem 1: Measuring Stock Market Risk a. Selected descriptive statistics follow: Variable N Mean StDev Minimum Median Maximum Microsoft 36 0.00503 0.04537 -0.08201 0.00400 0.08883 Exxon Mobil 36 0.01664 0.05534 -0.11646 0.01279 0.23217 Caterpillar 36 0.03010 0.06860 -0.10060 0.04080 0.21850 Johnson & Johnson 36 0.00530 0.03487 -0.05917 -0.00148 0.10334
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