Introduction: Data analysis is an attempt by the researcher to summarize collected data either quantitative or qualitative. Generally‚ quantitative analysis is simply a way of measuring things but more specifically it can be considered as a systematic approach to investigations. In this approach numerical data is collected or the researcher transforms collected or observed data into numerical data. It is ideal for finding out when and where‚ who and what and any relationships and patterns between
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Quantitative Methods of Data Analysis Sales Force Survey Respondent number: 01 1. Are you male or female? (1) Male (2) Female 2. What is the name of your employer? (1) Jones and Sons (2) Smith and Company (3) Tomkins 3. In which area of the country do you work? (1) North (2) South 4. Please circle your response to the following three questions‚ using the following scale: 1 “strongly agree” 2 “agree” 3 “uncertain” 4 “disagree” 5 “strongly disagree” 4a) In general
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Evaluate the statistical analysis packages available for quantitative research. Which statistical analysis packages would be most beneficial for the examination of quantitative data within your study? The four most common statistical packages that nurses use for research are Statistical packages for the Social Sciences (SPSS)‚ Microsoft Excel‚ XLSTAT‚ STATA and SAS (CourseConnect‚ 2016). For my research study‚ I would use the SPSS package because it is easy to use‚ can take data from almost any type
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Section:04 Spring2010‚ Email ID:0630059 I have asked 20 people who live in Mirpur about their choice of soft drink they used to buy. Their answer s(my data set) are given below. Dataset 01: mojo mojo mojo mojo rc coke rc rc sprite coke mojo rc rc lemu lemu sprite lemu mojo sprite 7up ice Qualitative data analysis: from this data set we get to know the name and the number of the brands they choose and 2o people’s frequency of choosing among these brands. class Frequency
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Question1 Quantitative data are measures of values or counts and are expressed as numbers (www.abs.gov.au). In other words‚ quantitative data are data about numeric variables (www.abs.gov.au). Four types of quantitative data are interval‚ nominal‚ ordinal and ratio. Firstly‚ interval scales are numeric scales in which we know not only the order‚ but also the exact differences between the values (www.mymarketresearchmethods.com). Other than that‚ interval data also sometimes called integer is measured
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3.7.2. Quantitative Data Analysis In this study‚ the quantitative data which was obtained through questionnaire which is used analyzed using descriptive statistics of central tendency measurements and percentages. The data was first coded‚ organized and discussed using mean‚ mode‚ frequency and median. The median will be used to show the central tendency for the ordinal scales and skewness to show the distribution of the population. In addition‚ percentages will be used for the nominal scale especially
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Quantitative Data Analysis Project 1. a) My research question is “Does the type of community you grow up in‚ and if your parents make a special effort to expose you to other cultures‚ have an effect on how many friends you have who are gay/lesbian?” b) My dependent variable (DV) is “how many friends do you have who are gay/lesbian”‚ and my two independent variables (IV) are “type of community the respondent grew up in”‚ and “did your parents make a special effort to expose you to other cultures
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difficulty in breathing for those around the scent. • The layout‚ maintenance and cleanliness of the customer areas - Committing strict hygiene standards. - Following critical standards for raw and finished product quality‚ cleanliness and sanitation. - Adhering to restaurant performance standards for crew stations and as per shift manager leadership - Washing your hands a minimum of once every hour - False nails are permitted to be worn
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Techniques for Summarizing Quantitative Data frequency histogram A sample of 40 female statistics students were asked how many times they cried in the previous month.Their replies were as follows: Stem-Leaf Plot A natural way to organize (group) quantitative data is with the order property of the real numbers‚ i.e.‚ arrange the data from least to greatest. For example‚ the 30 weights: 185‚ 160‚ 235‚ 165‚ 125‚ 175‚ 185‚ 132‚ 168‚ 112‚ 170‚ 155‚ 105‚ 158‚ 120‚ 190‚ 140
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DEFINITION: Quantitative methods are research techniques that are used to gather quantitative data — information dealing with numbers and anything that is measurable e.g. Statistics‚ tables and graphs‚ are often used to present the results of these methods. Quantitative research methods were originally developed in the natural sciences to study natural phenomena. However examples of quantitative methods now well accepted in the social sciences and education. Differences between parametric and
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