What type of data is systolic blood pressure?

2) Continuous Variables: These are sometimes called quantitative or measurement variables; they can take on any value within a range of plausible values. For example, total serum cholesterol level, height, weight and systolic blood pressure are examples of continuous variables.

What type of data is blood pressure?

Blood pressure is an example of continuous data. Blood pressure can be measured to as many decimals as the measuring instrument allows.

Is systolic blood pressure nominal ordinal interval or ratio?

So if a Likert scale is used as a dependent variable in an analysis, normal theory statistics are used such as ANOVA or regression would be used. 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.

Is systolic blood pressure discrete?

Theoretically, the systolic blood pressure of an individual is a continuous variable since it can take on any value between 0 and 300 mmHg. Practically, the systolic blood pressure as measured by a monitor is a discrete variable since it can only take on distinct values, such as: 140 mmHg, 141 mmHg, etc.

Is systolic blood pressure quantitative or qualitative?

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

Understanding Blood Pressure (Subtitles)

What type of variable is diastolic blood pressure?

An example of a dependent variable is mean arterial blood pressure which is calculated from the systolic and diastolic blood pressures (both of which are examples of independent variables).

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.

Is blood pressure quantitative data?

Quantitative data: measured on some numerical scale. An example might be heart rate or blood pressure.

Is blood pressure quantitative discrete 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.

What is nominal data?

Nominal data is data that can be labelled or classified into mutually exclusive categories within a variable. These categories cannot be ordered in a meaningful way.

Is blood pressure a ratio variable?

Some examples of ratio variables are length measures in the english or metric systems, time measures in seconds, minutes, hours, etc., blood pressure measured in millmeters of mercury, age, and common measures of mass, weight, and volume (see Figure 1.1).

Is blood pressure a ratio?

Blood pressure (BP) readings are expressed as a ratio of the systolic pressure (the first number or numerator), over the diastolic pressure (the second number or denominator). A blood pressure of 120/80 mmHg (millimetres of mercury) is expressed verbally as 120 over 80.

What level of measurement is diastolic blood pressure?

Blood pressure is measured as two numbers: Systolic blood pressure (the first and higher number) measures pressure inside your arteries when the heart beats. Diastolic blood pressure (the second and lower number) measures the pressure inside the artery when the heart rests between beats.

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. Ordinal measurements describe order, but not relative size or degree of difference between the items measured.

What is nominal data examples?

Nominal data are used to label variables without any quantitative value. Common examples include male/female (albeit somewhat outdated), hair color, nationalities, names of people, and so on. In plain English: basically, they're labels (and nominal comes from "name" to help you remember).

What is categorical and quantitative data?

Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age). Categorical variables are any variables where the data represent groups. This includes rankings (e.g. finishing places in a race), classifications (e.g. brands of cereal), and binary outcomes (e.g. coin flips).

Is blood type discrete or continuous?

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.

What is quantitative continuous data?

A continuous data set is a quantitative data set representing a scale of measurement that can consist of numbers other than whole numbers, like decimals and fractions. Continuous data sets would consist of values like height, weight, length, temperature, and other measurements like that.

Which are examples of qualitative data?

What is qualitative nominal data?

Nominal data is a type of qualitative data which groups variables into categories. You can think of these categories as nouns or labels; they are purely descriptive, they don't have any quantitative or numeric value, and the various categories cannot be placed into any kind of meaningful order or hierarchy.

What is qualitative data?

Qualitative data is the descriptive and conceptual findings collected through questionnaires, interviews, or observation. Analyzing qualitative data allows us to explore ideas and further explain quantitative results.

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 systolic blood pressure categorical or continuous?

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

Is heart rate a continuous or discrete variable?

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. Only those variables which can take a small number of values, say, less than 10, are generally considered discrete.

What are examples of interval variables?

Examples of interval variables include: temperature (Farenheit), temperature (Celcius), pH, SAT score (200-800), credit score (300-850).