The examples I have chosen for qualitative and quantitative questions are as follows: Qualitative: Are you taking classes in college to obtain your degree? Yes or No - This is an example of a nominal scale and would help define a person’s reason for going to college. One would assume the answer to be yes‚ but a no answer might indicate that a person is taking a class for a specific reason or for enjoyment. How would you rate your chances of getting a promotion after obtaining your degree (Excellent
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Sample D –TEACHER INSTRUCTIONS I.B. CHEMISTRY : PRACTICAL ELECTROCHEMISTRY INVESTIGATION : INVESTIGATE THE RATE OF ELECTROPLATING A METAL D DCP CE Goggles and Lab coats must be worn Background Students had been taught ‘Electrochemistry’ as outlined in the IB Chemistry syllabus. Investigation Design an experiment that allows you to investigate a variable affecting the rate of electroplating. Your research question must be focussed and specific and must enable you to carry out your experiment safely
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injections? How would you describe the concepts of reliability and validity as they pertain to quantitative research studies? Validity refers to the instrument actually measuring the variable of interest. There are four primary ways of considering validity: face validity‚ content validity‚ criterion validity‚ and construct validity (CourseConnect‚ 2016). According to CourseConnect The reliability of a quantitative study rests in the consistency and stability of its data collection instrument or instruments
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RUNNING HEAD: Qualitative Analysis Resource Fredericka C. Mitchell LRD- 850 Foundations of Research Dr. Jackie Olsen February 10‚ 2013 Unordered list of responses to open ended questions concerning changing daily operations at Data Imports‚ Inc. Participant Responses 1. I emphasized the change and supported it to my full ability. 2. I try to encourage others to see the reasons or benefits of the change. 3. Jumped right
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Hammett University of Michigan Table of Contents 1. VARIABLES- QUALITATIVE AND QUANTITATIVE......................3 1.1 Qualitative Data (Categorical Variables or Attributes) ........................... 3 1.2 Quantitative Data............................................................................................... 4 DESCRIPTIVE STATISTICS.................................................6 2.1 Sample Data versus Population Data ................................................................
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Data Processing All through the different stages in civilization‚ man has always tried to look for ways to simplify work and to solve problems more efficiently. Many problems involved numbers and quantities‚ so man started looking for easier ways to count‚ to add‚ subtract‚ multiply and divide. As society has grown in both size and complexity‚ so have data that are generated by it through time. Definition of Terms Data – is defined as any collection of facts. Thus sales reports‚ inventory
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Handling Consumer Data Introduction When I visit my local Caltex Woolworths petrol station on “cheap fuel Wednesday” to cash in the 8c per litre credit that my Wife earned the previous Friday buying the groceries with our “Everyday Rewards” card‚ I did not‚ until researching this report‚ have any clue as to the contribution I was making to a database of frightening proportions and possibilities… nor that‚ when I also “decide” to pick up the on-sale‚ strategically-placed 600mL choc-milk‚ I am
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POVERTY – AS A QUALITATIVE AND QUANTITATIVE CONCEPT (With reference to the Indian context) What does it really mean to be poor? The First World countries are often referred to as the “industrialized” nations as against the Third World “developing” nations. What does it imply when you describe a nation as “developing”? Can lack of mere material resources imply deprivation? Doesn’t a strong economy in a developed nation lose gravity of ground when the major proportion of its population struggles
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Data Table: Qualitative Cation Tests Name Test Tube 1: HClNH3 Test Tube 2: NaOHExcess Aluminum 3+ No precipitate Slightly milky Dissolves Ammonium + No Precipitate No precipitate Calcium 2+ No Precipitate Milky white precipitate Precipitate does not dissolve Copper 2+ No precipitate Became much darker blue and milky Iron 3+ Brighter yellow Orange precipitate that then dissolves Lead 2+ Milky white precipitate Precipitate gets more milky Silver + Milky white precipitate Precipitate gets
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Lim‚ Jean Rya Que 2013 – 72199 ATQ 1 – Qualitative Analysis of Carbohydrates Data Sheet: A. Osazone Formation Crystals Formed? (hot) Crystals Formed? (Cold) 5% sucrose Yes (orange) Yes (yellow) 5% glucose Yes (orange) Yes (yellow) 5% fructose Yes (brown) Yes (brown) 5% maltose Yes (orange) Yes (gold) B. Molisch Test Color of Junction Glucose Purple Sucrose Purple Starch Purple C. Bial’s Test Color Change Ribose Yellow -> Dirty Green Glucose Yellow -> Dark Yellow D. Seliwanoff’s Test Observation
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