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CHAPTER 10 Analysing quantitative data and formulating conclusions

CHAPTER 10 Analysing quantitative data and formulating conclusions. Analysing quantitative data and formulating conclusions. Learning outcomes Make sense of basic terminology in quantitative data analysis Undertake an initial analysis of your data

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CHAPTER 10 Analysing quantitative data and formulating conclusions

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  1. CHAPTER 10 Analysing quantitative data and formulating conclusions

  2. Analysing quantitative data and formulating conclusions • Learning outcomes • Make sense of basic terminology in quantitative data analysis • Undertake an initial analysis of your data • Identify and implement appropriate statistical tools to help you interpret your data • Reflect on the significance of the results of your analysis • Interpret your data to formulate appropriate conclusions

  3. Key terms in quantitative data analysis • Variable • independent and dependant variable • Bivariate analysis • Probability • Significance • Hypothesis • null hypothesis • one-tailed hypothesis and two-tailed hypothesis • Parametric data

  4. Steps and options for quantitative data analysis

  5. Scattergram produced using Excel

  6. Chi-square example

  7. Mann-Whitney U output

  8. Principal component analysis: scree plot

  9. Analysis options and choices

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