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    Tilapia Zilli Lab Report

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    These correlations were not significant at p < 0.05. Tilapia mariae recorded a weak strong correlation coefficient r = 0.471 (Table 4.22) at p < 0.05 insignificant in the dry season and recorded r = 0.412 in the wet season (Table 4.23). Tables 4.24 and 4.25 indicate weak positive correlations between pH and mercury in chrysicthys nigrodigitatus for both seasons

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    Psychology Project

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    IN SEARCH OF “GOOD LIFE”: CHANGING ECONOMY AND STANDARD OF LIVING A report submitted in the partial fulfilment of the course GS F232 Introductory Psychology Prof in charge Dr Rajneesh Choubisa Date April 3‚ 2013 Submitted by: Apurva Gupta 2011C7PS876P Anshula Sharma 2011B5A3749P ABSTRACT The aim of this project is to study comparatively to what extent workers (agricultural and industrial) in India are dependent for maintaining their standard of living‚ with respect

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    order to find the correlation values for the fields in our data set‚ The Pearson Correlation Coefficient was used. This requires that the data in both fields be quantitative. But what if we were looking to calculate the correlation on two given fields that were say‚ numerical and categorical‚ or even both categorical. The Point Biserial coefficient is a special case of The Pearson Correlation Coefficient; it is a branch of PCC although they are mathematically equivalent. It is used when one field

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    Bivariate Analysis

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    frequencies with x2 distribution. Correlation coefficient When we need to test the relationship between 2 quantitative variables‚ we use correlation coefficient and it measured by standardized covariance measure and investigates linear dependence. Before doing this‚ it is better to first make a scatterplot to check the outliers and linearity then get the idea about the nature and strength relationship. Next‚ we should calculate the r for correlation coefficient of variation‚ which measures the degree

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    Managerial Statistic

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    ways.Three of the most important ways of classifying correlation are: 1.Positive or negative 2.Simple‚ partial and multiple 3. Linear and non-linear The various methods of studying correlation are 1.Scatter Diagram Method 2.Karl Pearson’s Coefficient of correlation. 3.Method of Least Squares [Of these ‚ the first two methods shall be discussed as follows. ] SCATTER DIAGRAM What it is: A scatter diagram is a tool for analyzing relationships between two variables. One variable is plotted

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    null hypothesis states that there will be no relationship between music preference and life satisfaction‚ while the research hypothesis predicts some relationship whether it be positive‚ negative‚ weak‚ or strong. Using the Pearson r correlation coefficient‚ we are able to determine if there is a correlation between these two variables and if so‚ the correlation’s strength. The letter r expresses the degree of the relationship. A positive degree indicates higher scores on one variable being associated

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    Economic Data

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    these two indicators is 77.038. This figure means that for every addition to Great Britain’s population‚ GDP will increase by £77.03. This Figure represents further the close relationship between Great Britain’s population and GDP. The intercept coefficient of these indicators is -3375.39. This figure indicates that if Great Britain’s population dropped to zero that the nation’s GDP would also fall to this figure.

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    Barzer

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    Titli Declaration I have declare that the report work ‘’Analysis of customer satisfaction of BERGER PAINTS BANGLADESH LIMITED’’ submitted to ASA UNIVERSITY BANGLADESH as apart of the BBA curriculam‚ is a record of an original work done by me under the guidance of prof Jesmin Akter Assistant Professor Department of Business Administration ASA University‚ Bangladesh. Table of Contents SERIAL NO. PARTICULARS PAGE NO 01

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    biology interest among ASASIPINTAR STUDENTS | A MINI PROJECT REPORT | Submitted by 1. AHMAD SYAZWAN BIN SUHAIMI AP00161 2. IZZATY SHAIMA BINTI SHAMSUDIN AP00164 3. MUHAMMAD FAIZUAN BIN AMINUDDIN AP00159 4. SITI NABILA AMIRA BINTI SAMSUDIN AP00158 | Submitted toMiss Noraniza Binti IbrahimSTATISTICS (PNAP0154)ASASIpintarPUSAT PERMATApintarTM NEGARAUNIVERSITI KEBANGSAAN MALAYSIA (UKM)APRIL 2013 | Table of Contents Content | Page |

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    Quick Guide to Spss

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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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