Qualitative vs Quantitative Data

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Match the following terms with their definitions:

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

Match the following terms with their descriptions:

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

Match the following terms with their levels of measurements:

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

Match the following with the correct term: Median income of 850 college students in Quezon and Makati

Descriptive Statistics = Statistic Inferential Statistics = Parameter Qualitative Data = Population Quantitative Data = Sample

Match the following with the correct term: Proportion of 2000 randomly sampled participants that support the death penalty

Descriptive Statistics = Sample Inferential Statistics = Population Qualitative Data = Parameter Quantitative Data = Statistic

Match the following with the correct term: Mean screen time of all high school students in India

Descriptive Statistics = Parameter Inferential Statistics = Sample Qualitative Data = Statistic Quantitative Data = Population

Match the following with the correct term: Mean screen time of 3000 high school students in India

Descriptive Statistics = Statistic Inferential Statistics = Sample Qualitative Data = Population Quantitative Data = Parameter

Match the following with the correct term: Proportion of all US residents that support the death penalty

Descriptive Statistics = Population Inferential Statistics = Parameter Qualitative Data = Statistic Quantitative Data = Sample

Match the following with their corresponding definitions:

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

Match the statistical process steps with their descriptions:

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

Match the branches of statistics with their functions:

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

Match the statistical terms with their meanings:

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

Learn the difference between qualitative and quantitative data in this quiz. Understand how qualitative data consists of attributes or labels, while quantitative data involves numerical measurements. Explore concepts such as discrete, continuous, and population.

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