Biostatistics Introduction Quiz

The difference between the highest and lowest values in a dataset.

The middle value in a sorted dataset. If the dataset has an even number of values, it's the average of the two middle values.

A table summarizing data by grouping values into categories and showing the frequency of each category.

A table showing the frequency of each value in a dataset.

A table showing the frequency of values grouped into intervals.

Contains all the variables of a study, often used for further analysis.

A table should be clear, simple, and easy to understand. It should have a title and a number for quick reference.

A visual representation of data using graphs, charts, or diagrams.

A type of variable that can only take on specific, separate values. These values can't be split into smaller units. Examples include the number of patients admitted to a hospital daily or the number of children a woman has.

A type of variable that can take on any value within a given range. Its values can be split into smaller fractions. Examples include height, weight, or blood pressure.

A scale of measurement that classifies data into categories with no particular order or ranking. Examples include gender (male/female), marital status (married/single), or eye color (blue/brown/green).

A scale of measurement that classifies data into categories with a specific order or ranking. The intervals between categories may not be equal. Examples include education level (high school/college/graduate), income level (low/medium/high), or pain level (mild/moderate/severe).

The entire group of individuals, objects, or events that we are interested in studying. The subject of an entire study.

The formula used to determine the optimal number of class intervals (groups) for a given dataset. It helps balance data detail and simplicity.

The width of each interval in a class-interval frequency distribution table. It determines how many data points are grouped together.

The number of observations that fall within each class interval. It shows how frequently data points occur within each range.

The cumulative frequency shows the total number of observations up to and including a particular class interval.

The relative frequency is the proportion of observations in a given class interval, expressed as a percentage.

The cumulative relative frequency is the proportion of observations up to and including a particular class interval, expressed as a percentage.

A set of values can have more than one mode. For example, a set with two modes is bimodal, a set with three modes is trimodal, and so on.

A measure of dispersion that describes the scatter of values around their mean.

The square root of the variance. It measures how spread out data is from the mean.

A measure that expresses the standard deviation as a percentage of the mean. It indicates the relative variability compared to the average.

The degree to which data points spread around the average value.

The square root of the variance. It's a common measure of data variability.

The standard deviation expressed as a percentage of the mean. It's used to compare the variability of different groups.

The difference between an observation and the mean.

The square of the deviation.

A set of observations or measurements.

A graphical method for representing data, especially useful for visualizing the distribution of numerical data. It organizes data into stems and leaves, where stems represent the larger place value digits and leaves represent the smaller place value digits.

A descriptive measure that summarizes data into a single value, representing the central point or typical value of a dataset.

A descriptive measure calculated from the data of a sample, used to estimate the corresponding parameter in the population.

A descriptive measure calculated from the data of a population, representing a characteristic of the entire population.

The value that appears most frequently in a dataset. It is a measure of central tendency that is sensitive to the frequency of each value.

A descriptive measure that quantifies the spread or variability of a dataset. It provides information about how data points deviate from the central tendency.