random sampling. The data for this study were gathered using standardized questionnaires. For mathematics achievement‚ the mean of their grades in mathematics subjects taken in their first year were used. Basic descriptive statistics‚ one-way analysis of variance‚ t-test for independent samples‚ and Pearson-Product Moment correlation test were used to analyze data. Result: The study found out that the majority of the maritime sophomores belonged to the “terminal” case of math anxiety or was on the
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disorders. The focus is on what question the authors are trying to answer by doing this research and what hypothesis is being tested and the concepts that were applied in this process. Other important aspects of this study include the statistical analysis employed in this studies‚ the variables used and the possibility more and/or different variables may have been used to enhance the outcome of the study. As with any statistical research study‚ there are going to be limitations. The fact that autism
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References: Kozub‚ R. M. (2010‚ March 2010). An ANOVA analysis of the relationships between business students’ learning styles and effectiveness of web based instruction. American Journal of Business Education‚ 3‚ 89-98.
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4 Methodology 5 Survey Administration 5 Sampling 5 Data Reduction 5 Data Analysis 5 Findings 5 CROSS TABULATIONS 5 REGRESSION ANALYSIS 5 ANOVA 5 CLUSTER ANALYSIS 5 DISCRIMINANT WITH CLUSTER ANALYSIS 5 FACTOR ANALYSIS 5 Conclusions 5 Annexures 5 Annexure 1a: Agglomeration Schedule for Cluster Analysis 5 Annexure 1b: Correlation Matrix for Factor Analysis 5 Annexure 1c: ANOVA Table for Regression Analysis 5 Annexure 2a: Questionnaire for Exploratory Research 5 Annexure 2b: Final
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used each presented each day (random set each day). Procedural: 2 tapping sequences learned per day. Different sequences each day. Statistical approach If 2 groups t-test between each group‚ for significant difference 4 groups ANOVA test- Analysis of Variance 2-way‚ x2 F-Test within groups -parametric‚ more
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father of “Modern Portfolio theory”‚ developed the mean-variance analysis‚ which focuses on creating portfolios of assets that minimizes the variance of returns i.e. risk‚ given a level of desired return‚ or maximizes the returns given a level of risk tolerance. This theory aids the process of portfolio construction by providing a quantitative take on it. It integrates the field of quantitative analysis with portfolio management. Mean variance analysis has found wide applications both inside and outside
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Neater interview notes (not in a chronological order‚ bits missing‚ please edit =D ) Gerry Rayner Secondary/Tertiary study -Found transition from secondary to tertiary education “abysmal”. Started BSc but dropped out after 1 year. -Worked in telecommunications for several years but got sick of it‚ returned to study Science as a mature aged student. -Completed BSc (honours) in early 1990’s as mature aged student. Had large time gap between completing Honours and PhD (in this gap he worked
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pains‚ and pains caused by arthritis and even hangover using Pandan (Pandanus Amryllifolius) | Central Problem | Sub-Problems | There will be no side effects or suspicios things/results that will occur when we do the experiment. | One-away analysis of variance (ANOVA) or F-test | | | This study aims to reduce pains or diseases in the Philippines through inventing a medicine or cure made out of pandan. It also aims to see the results of the tests and to know the different kinds of side effects
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Effectivity of Green Finger Pepper and Ethanol as an Alternative Insecticide A research project (to be) presented to the faculty of Cordillera Regional Science High School in partial fulfillment of the course Ib Cordillera Regional Science High School Wangal‚ La Trinidad‚ Benguet Bonnie B. Macay Danielle Dawayen Casserine Dumpilo Researchers Mrs. Xylene Grail Kinomis Research Adviser 2013 CHAPTER I INTRODUCTION Background of the Study Black ants are one of the common insects
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Mancenido‚ Michelle (Adviser) ABSTRACT ------------------------------------------------- This study compares the absorbency of two different cotton brands‚ Cleene and SM Bonus. The two brands are chosen based on the price differences‚ and analysis has been conducted to show if significant differences on the absorbency exist between these brands to justify the large price difference‚ P27.50. The cotton brands are subjected to two types of liquid: water and astringent‚ where one gram of cotton
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