issue. 3. Children who are attractive tend to have more friends than children who are not as attractive. That is‚ attractiveness is associated with having more friends. This is an example of a Selected Answer: negative correlation. Correct Answer: positive correlation. 4.The branch of genetics that deals with inheritance of behavioral and psychological traits is known as behavioral genetics. 5. Bobby (male) and Brandy (female) are dizygotic twins. Response Feedback: Because one is
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Selected personal attributes and sports participation of CAS students in Silliman University in the Intramurals Table of Contents Page List of Tables……………………………………………………………………………. iii List of Figures…………………………………………………………………………… iv ABSTRACT…………………………………………………………………………….. v Chapter I INTRODUCTION……...………………………………………………. 1 Review of Related Literature……………………………………………. 2 Theoretical Framework………………………………………………….. 6 Conceptual Framework…………………………………………………... 8 Statement of the
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Name: Bulose Sihle Student Number: 209504496 Date of Practical: 11 April 2013 Inductively Coupled Plasma – Atomic Emission Spectroscopy Aim The aim of this practical was to use an ICP-OES to perform a multi-elemental analysis of different types of tea. The elements that were analysed in the tea were copper‚ iron‚ manganese and magnesium. The sample is introduced into the plasma as an aerosol. Argon gas flows through three concentric quartz tubes in the plasma torch. This argon gas transports
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FRONT PAGE PRACTICE EXAM – CONTENT OF FINAL EXAM WILL VARY! Student name: Student CPR-number: PC number (the PC you work on): Course Name: Experiment Design and Analysis – Fall 2009 Course code: DEDA Exam Date: January 5th‚ 2010 Time of Exam: 09:00 – 13:00 [4 hours] Course convener: Dr. Anders Drachen This exam document has 10 pages Number of questions in this exam: 24 Information about exam aids: This is an A3-type exam: Written examination with all written and printed aids‚ and
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factor identified are significant to the overall satisfaction of the smart phones. H1: The level of satisfaction on features is significantly related to the overall satisfaction of a Samsung smart phone. The Pearson Correlation analysis proved that there was a positive correlation of the satisfaction level on features of the smart phone and its overall satisfaction. Thus‚ the higher the satisfaction level of the phone’s features‚ the increase in overall satisfaction of the smart phone. Next was
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Correlations sex wear mask sex Pearson Correlation 1 .363* Sig. (2-tailed) .014 N 45 45 wear mask Pearson Correlation .363* 1 Sig. (2-tailed) .014 N 45 45 *. Correlation is significant at the 0.05 level (2-tailed). Correlations sex active join protect sex Pearson Correlation 1 -.299* Sig. (2-tailed) .046 N 45 45 active join protect Pearson Correlation -.299* 1 Sig. (2-tailed) .046 N 45 45 *. Correlation is significant
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Statistical Analysis 2: Pearson Correlation Research question type: Relationship between 2 variables What kind of variables? Continuous (scale/interval/ratio) Common Applications: Exploring the relationship (linear) between 2 variables; eg‚ as variable A increases‚ does variable B increase or decrease? The relationship is measured by a quantity called correlation Example 1: A dietetics student wanted to look at the relationship between calcium intake and knowledge about calcium in sports science
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The correlation analysis refers to the techniques used in measuring the closeness of the relationship between the variables. DEFINITION Some important definitions of correlation are given below: 1. “Correlation analysis deals with the association between two or more variables”. ---- Simpson & kafka. 2. “When the relationship is of quantitative nature‚ the appropriate statistical tool for discovering and measuring the relationship and expressing it in brief formula is known as correlation”.-----
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Sanizah’s Notes 02/05/2013 1 sanizah@tmsk.uitm.edu.my 2 CHAPTER 5 CORRELATION AND REGRESSION Introduction Correlation and Regression Scatter Plot/Diagram Coefficient of Correlation Simple Linear Regression sanizah@tmsk.uitm.edu.my Learning objectives • Explain the concept of correlation • Calculate Pearson’s correlation coefficient and interpret the results • Calculate Spearman’s rank correlation for qualitative and quantitative data and interpret the results • Determine the
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student and the correlation coefficient is determined. Disadvantages: 1. When the time interval is short‚ the respondents may recall their previous responses resulting to high correlation coefficient or CC. 2. When the time interval is long‚ the students may forget or unlearn their responses resulting to a low correlation coefficient of the test . 3. Environmental condition such as noise‚ temperature‚ lighting etc. may affect the coefficient correlation. Spearman rank correlation coefficient or
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