Chapter 9 Analyzing quantitative data (What is Quantitative Data Analysis?…
Chapter 9 Analyzing quantitative data
What is Quantitative Data Analysis?
Statistics is a branch of mathematics that is applied to quantitative data in order to draw conclusions and make predictions.
Your quantitative data involves data that is numerical in nature.
is used to summarize and describe data,
is used to make inferences in relation to a wider population.
can also be subdivided on the basis of non-parametric and parametric tests.
Preparing Your Data for Analysis
Types of data
Number of variables: univariate (one), bivariate (two) or multivariate (three or more).
Ratio: The distinction between the two is that ratio data have a fixed zero point.
Interval: Interval data have been achieved when the distance between the numbers are equal across the range.
Ordinal: ordinal data can be rank-ordered.
nominal: data that cannot be measured numerically.
Coding during data collection
Coding following data collection
Summarizing and Presenting Your Data
is a numerical value that illustrates the number of counts for an observed variable.
Diagrams used for presenting data
Describing Your Data
Measuring central tendency
Mean: the arithmetical average of a frequency distribution
Median: an average.
Mode: the value that occurs the most often in your set of data.