Quantitative research involves collecting numerical data though content analysis‚ performance tests‚ personality measures‚ questionnaires‚ etc. Quantitative research allows for experimental and non-experimental research. Experimental research tests cause and effect‚ while non-experimental research‚ such as‚ correlation research‚ relates variables‚ and survey research describes trends. There are three basic types of quantitative research questions: descriptive research questions‚ correlational research
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SET INDUCTION ENHANCE STUDENTS INTEREST LEARNING IN SCIENCE Abstract The purpose of this study is to examine the effects of applying different type of set induction on students interest‚ attention and motivation level. Participants will be Year 5 students from who will receive 1 hour weekly different type of set induction along with their regular science lesson. The set induction that i was used in this study was story telling and games like activity. During the lesson teacher
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DMT0064 INTRODUCTION TO QUANTITATIVE TECHNIQUES Exercise 1 1. What is the difference between qualitative data and quantitative data? 2. What is the difference between discrete data and continuous data? 3. If an experiment results in data are continuous in nature‚ must the data be quantitative‚ or can they be qualitative? 4. Determine whether the given values are from a discrete or continuous data set. a. In the Chapter Problem‚ it was noted that when 50 letters were sent as part
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from the samples so that one can make inferences or extrapolations from the sample to the population. This process of collecting information from a sample is referred to as sampling. A complete sample is a set of objects from a parent population that includes ALL such objects that satisfy a set of well-defined selection criteria. For example‚ a complete sample of Australian men taller than 2m would consist of a list of every Australian male taller than 2m. But it wouldn’t include German males‚ or
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order to keep ahead of the competition. This is important as competitors will also be seeking to erode any competitive disadvantage that they may have. This case study focuses on the way in which Heinz‚ one of the world’s major global companies‚ has set out to reinvent itself at a time when it is already preeminent in a range of global food markets. The study examines aspects of Heinz’s ‘Project Millennia‚’ an international restructuring plan announced in 1997‚ which chairman Dr Tony Reilly describes
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ATILIM UNIVERSITY DEPARTMENT OF MATHEMATICS Math 211 - Discrete Mathematics with Applications 2010-2011 Fall Semester Problem Set I Prepared by Mehmet TURAN O−‚ Ω−‚ Θ− Notations 1. Let f and g be real valued functions defined on the same set of nonnegative real numbers. (a) Prove that if g(x) is O(f (x))‚ then f (x) is Ω(g(x)). (b) Prove that if f (x) is O(g(x)) and c is any nonzero ral number‚ then cf (x) is O(cg(x)). (c) Prove that if f (x) is O(h(x)) and g(x) is O(k(x))‚ then f (x) + g(x) is
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| Advanced Studies in Quantitative Research | Table of Contents Introduction 3 Underlying Assumptions in Quantitative Research 3 Methodological and Ontological Assumptions 5 Epistemological Assumptions 8 Conclusion 9 References 10 Assumptions Underlying Quantitative Research Introduction Before researchers undertake a research endeavor‚ it is essential for them to understand the philosophical assumptions that underlie the method of inquiry chosen to answer the proposed research question
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Quantitative Techniques in Management Assignment A 1. From the following data calculate the missing the missing frequency. No. of tablets 4-8 8-12 12-16 16-20 20-24 24-28 28-32 32-36 36-40 No. of Persons Cured 11 13 16 14? 9 17 6 4 The average number of tablets to curve fever was 19.9. Solution: No. of tablets Mid point No. of persons cured Product 4-8 6 11 66 8-12 10 13 130 12-16 14 16 224 16-20 18 14 252 20-24 22 x 22x 24-28 28-32 26 30 9 17 234 510 32-36 34 6 204 36-40
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the data collected to compile a graph showing the levels of absorbance of the different concentrations. Methods and materials: In this lab we used a spectrophotometer‚ a test tube filled with water to be used as a blank‚ six test tubes with different concentrations of salicylic acid ranging from 0 mg/dL to 5 mg/dL and one test tube with an unknown concentration of salicylic acid. We set the spectrophotometer to a wavelength of 540 nm. We adjusted the transmittance to 0%. Next we placed the
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going through a basic and advanced technology course‚ the teachers were sent a survey to analyze whether those teachers were integrating technology into teaching and learning. The research methodology used in this study were surveys analyzed in a quantitative design. More specifically‚ two survey instruments were introduced in the article‚ but only one was used. Both were designed by Mills and Tincher (2003). They describe the Technology Integration Standards Configuration matrix (TISC) as the first
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