Discrete or Continuous

Quiz
•
Mathematics
•
9th Grade
•
Easy
Wayground Content
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16 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
Give an example of a discrete variable.
The number of animals per household.
The weight of a person in kilograms.
The height of a tree in meters.
The temperature in degrees Celsius.
2.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
What is a continuous variable?
A type of qualitative variable that can take on a limited number of values.
A type of quantitative variable that can take on an infinite number of values within a given range.
A variable that can only take on whole number values.
A variable that does not change over time.
3.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
What type of data is represented by the mass of each animal in a herd?
Categorical data
Discrete data
Continuous data
Nominal data
4.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
Is the number of TV programmes watched in the last month discrete or continuous?
Discrete
Continuous
Both discrete and continuous
Neither discrete nor continuous
5.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
How do you determine if a variable is discrete or continuous?
If the variable can take any value within a range, it is discrete.
If the variable can only take specific values, it is continuous.
If the variable can only take specific values (like whole numbers), it is discrete.
If the variable can take only negative values, it is continuous.
6.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
What is a discrete variable?
A variable that can take on any value within a given range.
A type of quantitative variable that can take on a countable number of values.
A variable that is not measurable and cannot be counted.
A variable that can only take on two values, such as true or false.
7.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
What is the significance of understanding discrete vs continuous variables?
It helps in choosing the right statistical methods and tools for data analysis.
It determines the type of data visualization to use.
It affects the sample size required for experiments.
It influences the interpretation of qualitative data.
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