Is systolic blood pressure a discrete variable?

Age, heart rate, systolic blood pressure, and cardiac output are examples of continuous variables. It is important to make a distinction between discrete and continuous variables as each requires a different set of statistical tests for proper analysis.

Is systolic blood pressure discrete or continuous?

For example, total serum cholesterol level, height, weight and systolic blood pressure are examples of continuous variables.

Is blood pressure discrete variable?

1 Answer. Blood pressure itself is continuous, but the measurement of it would appear to be discrete because of the limit on accuracy which can be recorded.

Is blood pressure categorical or continuous?

Examples of continuous variables are body mass, height, blood pressure and cholesterol. A discrete quantitative variable is one that can only take specific numeric values (rather than any value in an interval), but those numeric values have a clear quantitative interpretation.

Is diastolic blood pressure a categorical variable?

Age in years – quantitative Gender – categorical Heart rate in number of beats per minute – quantitative Systolic and Diastolic blood pressure – quantitative BMI – quantitative.

Extreme Swings in Blood Pressure Can Be Deadly

Is blood pressure a nominal variable?

Age, heart rate, systolic blood pressure, and cardiac output are examples of continuous variables. It is important to make a distinction between discrete and continuous variables as each requires a different set of statistical tests for proper analysis.

Is blood pressure a quantitative variable?

Is blood pressure a qualitative or quantitative variable? Blood pressure is a quantitative variable, as it is measured numerically.

Is systolic blood pressure nominal ordinal interval or ratio?

Most physical measures, such as height, weight, systolic blood pressure, distance etc., are interval or ratio scales, so they fall into the general "continuous " category.

What type of data is diastolic blood pressure?

Description. Diastolic Blood Pressure is part of a Blood Pressure reading, which is a CLINICAL INVESTIGATION RESULT ITEM. Diastolic Blood Pressure is the reading of a PATIENT's Blood Pressure relaxing between heart beats.

Is air pressure continuous or discrete?

Barometric (atmospheric) pressure can take on any value within physical constraints, so it is a continuous random variable. e. The number of registered voters who vote in a national election is countable and is therefore discrete.

Is blood type A discrete or continuous variable?

Blood type is not a discrete random variable because it is categorical. Continuous random variables have numeric values that can be any number in an interval. For example, the (exact) weight of a person is a continuous random variable.

Is Pulse discrete or continuous?

Variables such as heart rate, platelet count and respiration rate are in fact discrete yet are considered continuous because of large number of possible values.

Which of the following is an example of discrete variable?

The answer is the gender of each student in a psychology class is an example of a discrete variable.

What is an example of a discrete qualitative variable?

Here are some examples of discrete variables: Number of children per family. Number of students in a class. Number of citizens of a country.

Which variables are classified as continuous variables?

Continuous variables are numeric variables that have an infinite number of values between any two values. A continuous variable can be numeric or date/time. For example, the length of a part or the date and time a payment is received.

What is difference between discrete and continuous variable?

Discrete and continuous variables are two types of quantitative variables: Discrete variables represent counts (e.g. the number of objects in a collection). Continuous variables represent measurable amounts (e.g. water volume or weight).

What is a discrete data?

Discrete data is information that can only take certain values. These values don't have to be whole numbers (a child might have a shoe size of 3.5 or a company may make a profit of £3456.25 for example) but they are fixed values – a child cannot have a shoe size of 3.72!

Is blood pressure a dependent or independent variable?

In multiple regression analysis we used blood pressure values as the dependent variable and fat percentage and age as independent variables.

Is height discrete or continuous?

As a result, we can say, that height is a continuous variable. Because we cannot define a specific set of values, that incorporate every possible height of any human being. To think of it another way, let's assume, that any human in the world, will be between 0.5 and 2.5 meters tall.

Is interval data discrete or continuous?

The interval measurement scale is intended for continuous data. Sometimes continuous data are given discrete values at certain thresholds, for example age a last birthday is a discrete value but age itself is a continuous quantity; in these situations it is reasonable to treat discrete values as continuous.

Are discrete variables ordinal?

Variables may be classified into two main categories: categorical and numeric. Each category is then classified in two subcategories: nominal or ordinal for categorical variables, discrete or continuous for numeric variables.

What level of measurement is used for blood pressure?

Blood pressure is measured in units of millimeters of mercury (mmHg). The readings are always given in pairs, with the upper (systolic) value first, followed by the lower (diastolic) value.

What makes a variable discrete?

A discrete variable is a variable whose value is obtained by counting. Examples: number of students present. number of red marbles in a jar.

What type of data is blood pressure quizlet?

It can be ordinal, interval or ratio types. Examples of continuous variables are blood pressure, height, weight, income, and age. Rank-ordering data simply puts the data on an ordinal scale.

Is ordinal discrete or continuous?

Ambiguities in classifying a type of variable

In some cases, the measurement scale for data is ordinal, but the variable is treated as continuous.