How to Analyze Data
- Length: 172 pages
- Edition: 1
- Language: English
- Publisher: Red Globe Press
- Publication Date: 2019-10-18
- ISBN-10: 1137608463
- ISBN-13: 9781137608468
- Sales Rank: #5019469 (See Top 100 Books)
This accessible guide is an ideal starter for students who are puzzled by statistics and quantitative data analysis. Taking students step-by-step through the statistical process, it introduces the steps involved in successfully describing, analyzing and interpreting data and explains the logic which underpins these processes. Bite-sized chapters provide practical guidance for each stage of the process, from defining the research question and designing questionnaires through to using the appropriate statistical tests and analyses for the task and reporting and interpreting statistics.
Clear and concise, this will be a go-to resource for undergraduates of all disciplines who need to get to grips with basic statistics on their course.
Cover Contents Acknowledgements PART 1 GETTING STARTED 1 What does your assignment ask you to do? 2 How will you do it? Have you been asked to analyze a dataset? Are you responsible for collecting and analyzing the data? 3 Defining your research question 4 Tips for designing your questionnaire What do you need your questionnaire to do? How will you carry out this questionnaire? Designing your questionnaire Wording your questionnaire Common problems: spot the difference? 5 How to enter your data into a spreadsheet Organizing and entering your data Tips for entering data Saving data PART 2 UNDERSTANDING AND DESCRIBING YOUR DATA 6 What type of data do you have? 7 Descriptive statistics Population and samples Calculating averages For nominal data, report the mode. Calculating measures of spread Using Excel functions 8 What plot should you use? To plot or not to plot? What type of plot? Plotting categorical data Plotting scale data: distributions or relationships PART III HOW DO STATISTICAL TESTS WORK 9 What is a statistical hypothesis? 10 Using probability distributions in statistical tests What is probability? What are degrees of freedom? What about chance? Two-tailed test One-tailed test: What’s different? 11 Statistical errors and their interpretation Type I error Type II error Type III error Interpreting statistical results PART 4 WHAT STATISTICAL TEST DO YOU NEED? 12 The statistical signpost 13 Statistical flowcharts Categorical tests Parametric tests Nonparametric tests 14 Case studies Case study 1: Describing data and looking for an association between variables Case study 2: Looking for a difference between variables Case study 3: Looking for a relationship between variables PART 5 THE STATISTICAL PROCESS 15 You the researcher What is your research question? Your data Describing your data Reporting your results What to include? p-values Use your reading And finally … 16 You the interpreter Interpreting published results: the outline You’ve reached the finish line! Symbols explained References Useful resources Index
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