Statistics Measurement Levels Quiz

The science of collecting, organizing, presenting, analyzing, and interpreting data to make informed decisions.

A collection of numerical facts or figures representing a specific phenomenon.

A type of statistics focused on the interpretation of biological and medical data.

Summarizes and describes data using measures like averages, percentages, and graphs.

Uses data to draw conclusions and make inferences about a larger population.

The process of gathering data for statistical analysis. This can involve surveys, experiments, observations, or existing records.

Categories that define how data is measured, ranging from simple categories to precise numbers.

Variables, like age, height, or disease status, are categorized based on their characteristics and how they are measured.

The complete set of individuals, objects, or items under consideration.

A part of the population chosen for study.

The process of organizing data into meaningful forms, like tables, for easier understanding and identification of inconsistencies.

Presenting organized data in a clear and understandable manner using tables, charts, diagrams, and graphs.

Critical analysis of organized data to extract meaningful insights and draw conclusions about the population.

The final step in statistical investigation, where conclusions are drawn from data analysis, leading to informed decision-making.

A collection of data gathered from a sample, used to estimate the characteristics of the entire population.

A branch of statistics that focuses on understanding and analyzing biological data, applying statistical methods to answer questions about living organisms.

This type of statistics deals with summarizing and describing data without making any generalizations or predictions about a larger population.

This type of statistics uses data from a sample to draw conclusions and make predictions about a larger population.

These are measurements that summarize the central tendency of a dataset, providing a typical value in the data set.

These are measurements that describe the spread or variability of data points within a dataset.

A summary of data that shows how often each distinct value occurs within a dataset. It helps you understand the frequency of different values.

Mean is the average value of a dataset. You calculate it by adding up all the values and dividing by the total number of values.

Median is the middle value of a sorted dataset. If the dataset has an even number of values, the median is the average of the two middle values.

A collection of numerical facts or results of measurements or observations, used to understand patterns and gain insights.

Raw data is data that has been directly collected but not yet organized or analyzed. It's like the ingredients before a recipe is prepared.

Arranging raw data in order of magnitude (smallest to largest or largest to smallest) to help with analysis.

Data collected directly by the investigator or user, like from experiments or surveys.

Data obtained from existing sources, like published reports or databases, created by others.

Data collected by the researcher directly from the source. This can be through surveys, experiments, interviews, etc. It's more expensive to gather than secondary data.

Data gathered from previously published or unpublished sources. This data has already been collected by someone else.

Data obtained by conducting surveys, interviews, or focus groups. This method allows you to directly collect information from people.

Gathering information through experiments with controlled variables to test hypotheses.

This involves collecting data based on observations of people or events in their natural environment.

A method of data collection that involves collecting data from the entire population being studied.

The process of gathering information from all relevant resources to solve a research problem. Helps evaluate the outcome of the problem.

A measurement scale that categorizes data into mutually exclusive and exhaustive groups without any order or ranking. In this scale, categories are distinct and lack a sense of relative value.

A measurement scale that categorizes data into ordered groups, but the differences between the categories are not equal or measurable. This scale allows ranking but not precise comparisons.

A measurement scale that has ordered categories with equal intervals between them, but lacks a true zero point. This means differences between measurements are meaningful, but ratios are not.

A measurement scale that has ordered categories, equal intervals, and a true zero point. This means both differences and ratios between measurements are meaningful.

A type of data that is based on categories or labels with no inherent numerical value. Nominal data can be counted, but can't be added, subtracted, or averaged.

A type of data that represents ordered groups or ranks with unequal spaces between categories.

A type of data that represents ordered measurements with equal intervals. Although there's no absolute zero point, it enables meaningful comparisons of differences.

A type of data that represents ordered measurements with equal intervals and a true zero point. It allows meaningful comparisons of both differences and ratios.