Qualitative vs Quantitative Data

Qualitative Data = Measurements with attributes or labels, no natural numerical scale Quantitative Data = Numerical measurements from a natural numerical scale Population = Entire group of interest for a study Sample = Smaller group taken from the population

Parameter = Number describing a whole population Statistic = Number describing a sample Discrete = Countable Continuous = Measurable

Nominal = Categories without meaningful order Ordinal = Categories with a natural rank order Interval = Categories with equal distances between adjacent values Ratio = Quantitative scale with true zero and equal intervals

<p>Descriptive Statistics = Statistic Inferential Statistics = Parameter Qualitative Data = Population Quantitative Data = Sample</p> Signup and view all the answers

<p>Descriptive Statistics = Sample Inferential Statistics = Population Qualitative Data = Parameter Quantitative Data = Statistic</p> Signup and view all the answers

<p>Descriptive Statistics = Parameter Inferential Statistics = Sample Qualitative Data = Statistic Quantitative Data = Population</p> Signup and view all the answers

<p>Descriptive Statistics = Statistic Inferential Statistics = Sample Qualitative Data = Population Quantitative Data = Parameter</p> Signup and view all the answers

<p>Descriptive Statistics = Population Inferential Statistics = Parameter Qualitative Data = Statistic Quantitative Data = Sample</p> Signup and view all the answers

<p>Descriptive Statistics = Involves organizing, displaying, and describing data Inferential Statistics = Involves drawing conclusions about a population based on information contained in a sample Qualitative Data = Data that describes qualities or characteristics Quantitative Data = Data that can be quantified and measured</p> Signup and view all the answers

<p>Planning or designing the collection of data = Maximizes information content and minimizes bias Collecting the data as required in the plan = Gathering the necessary information Verifying the quality of the data after collection = Ensuring accuracy and reliability Summarizing the information extracted from the data = Condensing and presenting key findings</p> Signup and view all the answers

<p>Descriptive Statistics = Organizing, displaying, and describing data Inferential Statistics = Drawing conclusions about a population based on a sample Population = Entire group being studied Sample = Subset of the population used for analysis</p> Signup and view all the answers

<p>Proportion = A part or share of a whole Hypothesis = A proposed explanation for a phenomenon Generalizable = Able to apply findings to a larger population Bias = Systematic deviation from the truth in results</p> Signup and view all the answers