Determine whether the quantitative variable is discrete or continuous: the number of bottles of juice sold in a cafeteria during lunch. Discrete variables are countable in a finite amount of time. The possible values of X are 0, 1, 2, 3, 4, and 5; only 6 possibilities, and it is a finite number. Very easy to understand. A quantitative variable is a variable that reflects a notion of magnitude, that is, if the values it can take are numbers. Simply put, it can take any value within the given range.
; Most often these variables indeed represent some kind of count such as the number of prescriptions an individual takes daily.. Discrete variables have whole numbers as their values whereas continuous variables can even have values in between the whole numbers. In other words, the domain of the variable should be at most countable. Une variable continue peut prendre, en théorie, une infinité des valeurs, formant un ensemble continu. Otherwise, the variable is nominal. Quantitative variables can be classified as discrete or continuous. To determine which of these quantitative variables is a discrete variable, I will refer to the definition of a discrete variable. An example will illustrate this further.A five question test is given to a class. A quantitative variable represents thus a measure and is numerical. An example will illustrate this further. 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.
Discrete variables are countable in a finite amount of time.
Une bonne manière de distinguer les variables discrètes des variables continues est de prendre en exemples la taille des pieds qui est une variable continue car nous avons tous des pieds de tailles différentes et les pointsures standards de nos chaussures qui sont standards et par conséquence constitue une variable discrète. A lot of studies involve the use of a discrete variable.A lot of studies involving human subjects where qualitative experience is converted to quantitative data involves the use of a discrete variable.. For example, suppose a company is launching a new line of potato chips. Treating a predictor as a continuous variable implies that a simple linear or polynomial function can adequately describe the relationship between the response and the predictor. Theoretically, these values need not have a finite limit. Discrete variable A student is asked to rate a guest speaker's ability to communicate as poor, average, good, or excellent. A discrete variable is a variable with possible values of only discrete points on the scale. However, these two statistical terms are diametrically opposite to one another in the sense that the discrete variable is the variable with the well-defined number of permitted values whereas a continuous variable is a variable that can contain all the possible values between two numbers.Good and substantive write up.
However no values can exist in-between two categories, i.e. Thus, Z is a continuous variable, but if we add an additional restriction as “a student’s height to the nearest centimeter”, then the variable Z will be discrete since it can take only a finite number of values.From this, it can be seen that normally a continuous variable is defined as a measurement.• The domain of a discrete variable is at most countable, while the domain of a continuous variable consists of all the real values within a specific range.• Usually discrete variables are defined as counts, but continuous variables are defined as measurements.Coming from Engineering cum Human Resource Development background, has over 10 years experience in content developmet and management.Thanx alot this information has really helped with my homework..Difference Between Complex Numbers and Real Numbers
But these values are countable. For example, categorical predictors include gender, material type, and payment method. Quantitative variables take numerical values, and represent some kind of measurement.. Quantitative variables are often further classified as either: Discrete, when the variable takes on a countable number of values. A discrete variable has … Grade and number of events are discrete variables, because all possible values are distinct points on a scale. So, if a variable can take an infinite and uncountable set of values, then the variable is referred as a continuous variable.A continuous variable is one that is defined over an interval of values, meaning that it can suppose any values in between the minimum and maximum value. For example, the number of customer complaints or the number of flaws or defects.
Data can be understood as the quantitative information about a specific characteristic. The definition for a discrete variable is that it is countable, finite and numeric. You could also count the amount of money in everyone’s bank accounts. In other words, the domain of the variable should be at most countable. All rights Reserved.By using this site you agree to the use of cookies for analytics and personalized content. For example, you can count the change in your pocket. The characteristic can be qualitative or quantitative, but for the purpose of statistical analysis, the qualitative characteristic is transformed into quantitative one, by providing numerical data of that characteristic. Discrete variables are numeric variables that have a countable number of values between any two values.
Quantitative. Also known as a categorical variable, because it has separate, invisible categories. You can count the money in your bank account. In the above number line, ‘x’ is a discrete variable and ‘a’ is continuous variable.
For example, you can count the change in your pocket. On the other hand, a Likert scale for answering whether you like to eat fruit is ordinal: Dislike, Neither like nor dislike, like.