Which of the following is an example of a discrete variable?

Which of the following is an example of a discrete variable?

Similarly, the amount of weight gained can also be measured in decimals to as much precision as needed, and hence it is also continuous. Thus, the gender of each student in a psychology class is an example of a discrete variable.

What is an example of discrete quantitative variable?

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. Examples of discrete quantitative variables are number of needle punctures, number of pregnancies and number of hospitalizations.

Is hours of sleep discrete or continuous?

Amount of sleep is a variable. 3, 5, 9 hours of sleep are different values for that variable. Variables can be continuous or discrete. Question: Are these variables discrete or continuous?…Frequency distribution table:

Is age an extraneous variable?

Extraneous variables are often classified into three main types: Subject variables, which are the characteristics of the individuals being studied that might affect their actions. These variables include age, gender, health status, mood, background, etc.

What is the difference between intervening variable and extraneous variable?

Answer. extraneous variable are any variable which u r not intentionally studying in your experiment or test. intervening variable is a hypothetical variable used to explain casual links between other variables.

Which of the following is the best example of a discrete variable?

1. Discrete. A discrete random variable is a (random) variable whose values take only a finite number of values. The best example of a discrete variable is a dice.

What is extraneous variable and how can it be controlled?

An extraneous variable is eliminated, for example, if background noise that might reduce the audibility of speech is removed. Unknown extraneous variables can be controlled by randomization. Randomization ensures that the expected values of the extraneous variables are identical under different conditions.

What are the types of discrete variables?

Discretely measured responses can be:

• Nominal (unordered) variables, e.g., gender, ethnic background, religious or political affiliation.
• Ordinal (ordered) variables, e.g., grade levels, income levels, school grades.
• Discrete interval variables with only a few values, e.g., number of times married.

What is extraneous and confounding variable?

Extraneous variables are those that produce an association between two variables that are not causally related. Confounding variables are similar to extraneous variables, the difference being that they are affecting two variables that are not spuriously related. …

Is weight a discrete or continuous variable?

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. Foot length is also a continuous random variable. Continuous random variables are often measurements, such as weight or length.

Is age a discrete or continuous variables?

We could be infinitly accurate and use an infinite number of decimal places, therefore making age continuous. However, in everyday appliances, all values under 6 years and above 5 years are called 5 years old. So we use age usually as a discrete variable.

Is GPA continuous or discrete?

For example, the variable ” the number of children” is discrete and the variable ” GPA” is continuous. Since GPA can take an infinite number of possible values, for example interval 0.0 to 4.0. Inferential statistics is the branch of statistics that involves using a sample to draw conclusions about a population.

Do extraneous variables affect validity?

Any variable that you are not intentionally studying in your dissertation is an extraneous variable that could threaten the internal validity of your results [see the article: Internal validity]. This threatens the internal validity of your results. …

How do you know if a variable is discrete or continuous?

A variable is a quantity whose value changes. A discrete variable is a variable whose value is obtained by counting. A continuous variable is a variable whose value is obtained by measuring. A random variable is a variable whose value is a numerical outcome of a random phenomenon.

Is gender a confounding variable?

Hence, due to the relation between age and gender, stratification by age resulted in an uneven distribution of gender among the exposure groups within age strata. As a result, gender is likely to be considered a confounding variable within strata of young and old subjects.

What is extraneous variable in research with example?

Extraneous variables are any variables that you are not intentionally studying in your experiment or test. These undesirable variables are called extraneous variables. A simple example: you want to know if online learning increases student understanding of statistics.

Which of the following are examples of continuous random variables?

A continuous random variable is one which takes an infinite number of possible values. Continuous random variables are usually measurements. Examples include height, weight, the amount of sugar in an orange, the time required to run a mile. A continuous random variable is not defined at specific values.

What are examples of extraneous variables?

Situational Variables: These extraneous variables are related to things in the environment that may impact how each participant responds. For example, if a participant is taking a test in a chilly room, the temperature would be considered an extraneous variable.

What are the similarities of discrete variable and continuous variable?

The simplest similarity that a discrete variable shares with a continuous variable is that both are variables meaning they have a changing value. Besides that, they are also statistical terminologies used for comparative analysis.

Is a scatter plot continuous or discrete?

Continuous. While a continuous graph has a y value for every single x value and will always appear as a single line, a discrete graph only contains information for specific points and will appear as a collection of those points. Discrete graphs are also often called scatter plots.

Is salary a discrete or continuous variable?

In terms of statistics, this describes variables that assume only particular, distinct values and that are not continuous. For example, salary levels and performance classifications are discrete variables, whereas height and weight are continuous variables.