APPLICATION OF STATISTICS IN MEDICAL GENETICS INTRODUCTION "Significance" has a very particular meaning in biology thanks to statistics. How does this term prove an experiment's results are worth special attention? Once one has performed an experiment, how can one tell if the results are significant? For example, say if we are performing a genetic cross in which we know the genotypes of the parents. In this situation, we might hypothesize that the cross will result in a certain ratio of phenotypes
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Saurashtra University Re – Accredited Grade ‘B’ by NAAC (CGPA 2.93) Shah, Ajay D., 2009, A study of consumer behavior in Malls vis-à-vis Mom & Pop shops, thesis PhD, Saurashtra University http://etheses.saurashtrauniversity.edu/id/eprint/96 Copyright and moral rights for this thesis are retained by the author A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This thesis cannot be reproduced or quoted extensively from without first obtaining
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What variables affect the difference in crime rates throughout the neighborhoods of a city? By Anna Burns Introduction: This project is a focus on how variables such as population, ethnicity, and income affect crime rates throughout different neighborhoods throughout a city. I feel that this information finding this information could be useful to many people. For example if you are looking to buy a new home or even start a new business, you’ll probably want it located in a safe neighborhood
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The study used to compare the categorical variables in this study was a chi-square test and analysis
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Crosstabulation & Chi Square Robert S Michael Chi-square as an Index of Association After examining the distribution of each of the variables, the researcher’s next task is to look for relationships among two or more of the variables. Some of the tools that may be used include correlation and regression, or derivatives such as the t-test, analysis of variance, and contingency table (crosstabulation) analysis. The type of analysis chosen depends on the research design, characteristics of the
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* The chi-square distribution arises in tests of hypotheses concerning the independence of two random variables and concerning whether a discrete random variable follows a specified distribution. * all the chi-square distributions form a family, and each of its members is also specified by a DF parameter. * ezay ne7seb el gegree of freedom? : Factor 1 has 2 levels + factor 2 has 3 levels (2 – 1) x (3 – 1) = 2 df * CHI-SQUARE is a greek letter denoted by X – square denoted
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1. Chi-square Goodness-of-fit Tests Jake is trying to invest his money in stock market, is not sure that he could earn a profit or lose his money when he invests to an AT&T company’s stock or a stock market index, Dow Jones Industry Average. So he called his friend who works at financial consulting company and heard that the monthly positive and negative investment returns on AT&T and Dow Jones Industry Average were historically almost the same. However the economic situation recently has been getting
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WEIGHTED AVERAGE SCORE Table showing weighted average score for elements of work ethics. |Factors |Strongly agree |Agrees |Neutral |Disagree |Strongly disagree| |Performance Appraisal |8 |55 |6 |20 |11 | |Performance Measurement |12 |65 |8 |10 |5 | |Mission statements
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familiarize the participants on the following: (a) Descriptive Statistics - Concepts / Applications(b) Inferential Statistics – Concepts / Applications(c) Scope and Limitation of Use | Evaluation Criteria: Mid Term Test: 30 marks Test 2 / Quiz: 10 marks Test 3 / Quiz: 10 marks End Term Exam: 50 marks | Faculty: Prof. (Dr.) Tohid Kachwala (email contact tkachwala@nmims.edu, Cabin number: 729, Mobile: 9869166393, Extension: 5871) | Pedagogy: 1. Use of problem
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use the LIFETEST to test if different levels of covariates have the same effect on the survival curve. We are doing hypothesis testing for each predictor: H0:SSEX=0=SSEX=1 vs. H1:Not H0 H0:SMI=1=SMI=2=S(MI=2) vs. H1:Not H0 H0:SCAGE=0=SCAGE=1=SCAGE=2=S(CAGE=3) vs. H1:Not H0 First, we will test the equality over SEX, and compare the KM curve using LIFETEST and PHREG. Test | Chi-Square | DF | Pr > Chi-Square | Log-Rank | 9.4271
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