Data Interpretation

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This document provides guidance on summarizing and analyzing collected data in 3 levels of detail: Level 1 involves briefly describing results and stating basic reasons for those results. Level 2 adds valid statements analyzing the data by referring to it and drawing conclusions. Level 3 provides a detailed analysis linking different data sets together, referring specifically to data, and drawing conclusions related to the original purpose. The key is to describe data patterns, explain reasons for those patterns by asking why, and link different data sets to the overall topic.

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Data Interpretation This is where the collected data is explained and linked back to the original idea.

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In this power point viewer will be able to know about how to present data which is the out comes of any sincere research. The way of presentation is very very important because ultimately it should reach to the particular audience in proper and effective way. In this PPT viewers will be able to know how to present data obtained as a result of any kind of Research. In report writing the information received need to reach to targeted audience and received data need to reflect in impressive and understandable manner therefore data presentation is very important. portion covered 1. Data presentation 2. Textual data presentation 3. Tabular data presentation 4. Qualitative Tabular data presentation 5. Quantitative tabular data presentation 6. Temporal tabular data presentation 7. Spatial tabular data presentation

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In any single written message, one can count letters, words or sentences. One can categories phrases, describe the logical structure of expressions, ascertain associations, connotations, denotations, elocutionary forces, and one can also offer psychiatric, sociological, or political interpretations. All of these may be simultaneously valid. In short a message may convey a multitude of contents even to a single receiver.

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The data, collected for research, has to be processed, analyzed and interpreted to develop a solution to the research question. Data analysis is a practice in which unorganized or unfinished data is ordered and organized so that useful information can be extracted from it. It is the most enjoyable part of carrying out the research since after all of the hard works and waiting the researcher gets the chance to find out the answers. So analyzing the data and interpreting the results are the “reward” for the work of collecting the data.

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Running head: SHORTENED VERSION OF TITLE 1 Title of Your Research Study Author(s) First, Middle Initial (if applicable) and Last Name(s) in Starting with the Individual who Made the Biggest Contribution (not alphabetical) Institutional Affiliation(s) Author Note The author note is typically used in manuscripts that will be submitted for publication. The author note may provide additional information regarding the affiliations of the authors. It is also used to acknowledge those who contributed to the study, but not at the level of authorship. Lastly, the author note typically includes contact information for at least one author (see APA guide p. 24, section 2.03 & sample paper on p. 41.) Remember to format the author note using block format (no indents, left or right justification). Abstract The abstract is a brief (usually 100-150 words) summary of your experiment. What was your question? What did you do? What did you find? What is your conclusion/interpretation? Try taking the lead sentence or two (but not word-for-word) from your introduction, results and discussion and integrate them into your abstract. Additionally, add a sentence or two describing your procedure, especially if it differs from those typically used to study the phenomenon. The abstract is page two. Nothing goes on this page except the abstract. Center the word "Abstract" on the page and format in bold-face type. Do not put the title of your paper on this page. Begin typing the abstract on the line directly below the heading. Notice that the abstract is not indented, and is written in block format. It is also double-spaced. Typically, the abstract is one paragraph in length. Keywords: type a few words (or phrases) that would be useful if someone was searching for a study similar to this one. For example, if you studied reaction time in a card sorting task your key words might be “card sorting,” “response time” and decision making. (Note: the word “keyword” is italicized and indented.) Title On the third page, you typically begin your introduction. Notice that the word "INTRODUCTION" does not appear at the top of the page as many of the other headings do. The title used is the same one that appears on the cover page. The first paragraph should contain a description of the phenomena that you are studying. Make a general statement about the phenomenon and how it is typically measured. Also, talk about how one might manipulate or influence the outcome (i.e, what variables could potentially influence the results). Subsequent research should describe previous research that examined the phenomena. These studies serve to provide the rationale for your study. What did the researchers do? What did they find? What did they conclude? Do this for each study cited. Typically, one or more paragraphs are necessary to explain each study. Try to make the transition smooth from one paragraph to the next. Use transition words (see SIGNAL WORDS hand.

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Data Samples & Data Analyses NYU | SCPS Database Management & Modeling Edward Colet [email protected] Asynchronous Session 3, week of June 7 2021 Class material and homework so far You should be through text chapters 1-3 (introduction), 4-5 (database fundamentals), and the supplemental readings on RDMBS’s and BigData; HW submissions were a short write-up about yourselves (hw1), a relational database design exercise, and a BigData discussion (hw2) Questions from the material? Please feel free to also use the discussion section on our NYU Discussion site to ask, answer, comment on material from this week (for this week, this will be part of hw3) Content for this week Chapter 6: The Analysis Sample Chapter 7: Analyzing and Manipulating Customer Data Online Khan Academy content to Introduce SQL Week3 Overview ‹#› ‹#› Key themes for this week (and the course) Databases are important for storing data (obviously), but you have to analyze the data as well otherwise you just have a “data tomb”. The analysis of data to gain insights is what gives the data it’s power and makes it really valuable. This week we’ll learn about some fundamental analytic concepts operations associated with analysis; We’ll review Correlation, a foundational basis for analytics and modeling; We’ll learn some of the fundamental operations to slice and dice data, and we’ll write basic SQL (Structured Query Language) code to create a table, populate it with records, and query the table to extract and summarize information. Week3 Overview ‹#› ‹#› The Analysis Sample Chapter 6 Key Point of the Chapter: Data analyses are usually (almost always) done on subsets of the data in the database. As such, the following are the key concepts and points to understand about working with subsets of data Representative samples Random samples Frozen files Test and validation data sets Chapter 6: The Analysis Sample ‹#› ‹#› Know some common marketing scenarios that would be suitable to use a sample and test… To gauge new product offering/response Price elasticity Impact of a creative / change Identify target market for new test Gain insights on specific groups/segments . . . Any decision about your product in the market can be tested and analyzed to minimize/gauge risk Chapter 6: The Analysis Sample ‹#› ‹#› What is a representative sample? A sample accurately reflecting the population of interest from which the marketer wants to draw inferences. Can not extend or apply results from one population to another Can not purposely exclude names except for “permission opt-outs”, or other recently promoted per rules/regulations What is a random sample? When every member equally likely to be chosen Nth selects is one approach (select every nth name) Chapter 6: The Analysis Sample ‹#› ‹#› What is a frozen file? A file containing a snapshot view of the customer(s) at the time of the promotion, updated with response data to the promotion Why is a fr ...

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BUSA 2185: BUSINESS RESEARCH Spring 2019 Research Project (Assignment 7) Research methodology (Defining Data Collection and Data Analysis) (25 points) Submission and Formatting. - Typed double-spaced lines, Times New Roman, size 12 font, 1-inch margins, letter-sized pages (8.5 x 11 inches) - Save as a Microsoft Word (.doc/.docx) file and name your assignment in this format Name_Last Name_BUSA 2185_Assignment 7 OVERVIEW: In this assignment you will show how you will collect a data and which data methodology you will use. PROVIDE YOUR ANSWERS BELOW THE EACH QUESTION. If you will not provide in this template, you cannot take points for your submissions. 1. Sampling (7.5 points) Tip: Look at the Chapter 8-Sampling a. What is your target population? (2.5 points) Tip: A population can be defined as all people or items (unit of analysis) with the characteristics that one wishes to study. Who were the respondents? b. What is your sampling frame? Do you have access to this population? (2.5 points) Tip: This is an accessible section of the target population (usually a list with contact information) from where a sample can be drawn. c. What kind of sampling techniques (probability random, systematic, stratified or non-probability-convenience, snowball etc.) did you use? How did you reach your respondents? (2.5 points) Tip: You can find definitions for each technique from Chapter 8-Sampling. 2. Data Collection(7.5 points) Tip: Look at the Chapter 9-10-11 Data Collection Methods a. Which method you will use in your research for data collection (Survey, case study, secondary approach so on). (2.5 points) b. What types of survey (self-administered mail, online, interview phone etc.) you used? Explain. (2.5 points) c. What is the biggest challenge to collect this data? (2.5 points) 3. Analysis:(10 points) a. What kind of Univariate Analysis is convenient for your analysis? (2.5 points) Tip: Such as table of frequencies for each independent, dependent and one control) Tip: Look at the Chapter 14 - Data Analysis-Quantitative Analysis -Descriptive Statistics b. What kind of Inferential Statistics is convenient for your analysis? Give brief definition of this method. (2.5 points) Tip: Look at the Chapter 15 - Data Analysis-Quantitative Analysis - Inferential Statistics c. Which steps you will follow for your data analysis? (5 points) Tip: Such as data cleaning, reliability and validity measurement of scale items. BUSA 2185: BUSINESS RESEARCH Spring 2019 Research Project (Assignment 6) Drawing the Conceptual Model and Writing Hypothesis (25 points) Submission and Formatting. - Typed double-spaced lines, Times New Roman, size 12 font, 1-inch margins, letter-sized pages (8.5 x 11 inches) - Save as a Microsoft Word (.doc/.docx) file and name your assignment in this for.

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Focus on what you learned that made an impression, what may have surprised you, and what you found particularly beneficial and why. Specifically: What did you find that was really useful, or that challenged your thinking? What are you still mulling over? Was there anything that you may take back to your classroom? Is there anything you would like to have clarified? ANSWER THE ABOVE QUESTIONS BASED ON THE DOCUMENTS BELOW Introduction & Goals This week, we will investigate the distribution of a variable and look at ways to best see the key features of a quantitative variable’s distribution. We will look at visualizations of data, including line plots, frequency tables, stemplots, and histograms. We will hone our ability to describe key features of a distribution from visualizations and use them to compare distributions. We will begin to think about ideas for the Comparative Study by brainstorming in our project groups. Goals : Reinforce the idea that data will vary Explain what the distribution of variable is Identify five key features of a distribution: center, spread, shape, clusters & outliers Identify and create appropriate displays for categorical and quantitative data in one variable, including bar graphs, line plots, frequency tables, and histograms Analyze distributions using stemplots and histograms Recognize advantages and limitations of histograms Begin to explore technology for use in statistics Begin work on Comparative Study Final Project DOW #2: How Long Is A Minute? In week 1, we gathered data for this week’s DoW, addressing the question: “How long is a minute to an adult?” This week we'll: In investigations 1 & 2, you will analyze the data with dot plots, frequency tables, stemplots, and histograms. In Exercise B2, you will post your initial analysis and interpretation to the discussion board by Wednesday, 10 PM EST and create at least three follow-up posts by Friday, 10 PM EST. In Exercise D2 & E2, you will post your best histogram to the discussion board by Friday, 10 PM EST. Compare the histograms and choose the one you think best represents the distribution by Sunday, 10 PM EST Investigation 1: Seeing the Distribution As we emphasized in Week 1, data varies . This point may seem trivial, but it encapsulates one of the most fundamental concepts of statistics: variability . Statistical Analysis is really a study of the patterns we find within this variation in the data. The pattern(s) in the variation is called the distribution of the variable. Much of statistics focuses on ways to represent and describe the distribution of a variable. Activities A & B in this investigation focus on representing and describing the distribution. Activity C introduces Excel as a tool for looking at a distribution. Inv 1, Activity A: Patterns in the Variation As we emphasized in Week 1, data varies . This point may seem trivial, but it encapsulates one of the most fundamental concepts of statistics: variability . Statistical Analy.

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Since the instructions for the final project are standardized and provided by the department, I thought you might appreciate some pointers and key areas of focus to help you navigate this project! Use this in conjunction with your syllabus instructions, which contain detailed content instructions. Read the syllabus instructions VERY carefully, pay attention to the requirements embedded in the sentences. In fact, I would construct each heading and subheading (YES, use APA formatted subheadings) according to the required areas listed in your instructions. Here are some formatting directions for subheadings and a rough example for organization of your project with subheadings. APA Headings Level Formatting Guidelines: 1 Centered, Boldface, Uppercase and Lowercase 2 Left-aligned, Boldface, Uppercase and Lowercase Heading 3 Indented, boldface, lowercase heading with a period. Begin body text after the period. 4 Indented, boldface, italicized, lowercase heading with a period. Begin body text after the period. 5 Indented, italicized, lowercase heading with a period. Begin body text after the period. Example: 1st page is the TITLE PAGE with Running head- refer to APA guidelines See how I used proper capitalization for my running head? Running head: GENDER TRAINING IN THE WORKPLACE 2nd page and remaining pages... The body of your project training program and report. Look up APA formatting: double space entire body, font 12-Times New Roman, 1” margins all sides. Make sure you use proper APA citations in the text (McCarty, 2016) and that those resources are listed on the reference page, including the journal and website citations that you chose. Introduction and Identification of Problems (1st level) Participant Name and Problem #1 (You will do this 12 times) (2nd level subheading, left justified, paragraph begins next line after heading-double space. I will not double space the rest of this example to save space, but don’t forget to do it! Make sure you check your settings to be a true double space-nothing less and nothing more) Training Program: Session One (8 of these) Session One Title (2nd level) Gender and Hostility in the Workplace Objectives (2nd level) The goal of this course is to · define gender, · define hostility, · identify areas of hostility…(You can use bullets and or level three subheadings to list/organize). Problem (2nd level) State the participants problem(s) you will address with this session Journal articles and websites Journal. List one or more peer review (ACADEMIC) article(s) that is relevant to the issue/problem using an APA formatted reference. Website. List one website that is relevant to the issue/problem and put into APA formatted reference. Activity Create and describe an activity that will promote discussion and understanding among the participants. Activity breakdown. (3rd level subheading). Start text after period. You might want to use this 3rd level subheadin.

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