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Discrete data refers to quantitative information that can take on only specific, distinct values, often counted in whole numbers. Examples include the number of students in a classroom, the number of cars in a parking lot, or the number of pets in a household. This type of data cannot be subdivided into finer increments, meaning values between the discrete points do not exist. Discrete data is often represented using bar graphs or frequency distributions.
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Does Scatter analysis use discrete data?
No. It uses continuous data. * * * * * Not true. It can use either discrete or continuous data.
What is discrete data in statistics?
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What are the advantages and disadvantages transforming of continuous data into either discrete or ordinal data?
1.) Discrete: restricted to integers; ordinal subjective
Continuous and discrete data?
Yeah, what about them
Is the 'number of days' discrete data?
Yes, the 'number of days' is considered discrete data because it represents countable values. Discrete data consists of distinct, separate values, and in this case, days can only be whole numbers (e.g., 1, 2, 3) and cannot be fractional or decimal. Therefore, it falls into the category of discrete numerical data.
What is a example of discrete data?
Discrete data are observations on a variable that which take values from a discrete set.
Are weight of motorcycles discrete data or continuous data?
The weight of the motorcycles is discrete and not the continuous data.
What graph is used to discrete data?
Any kind of graph can be used for discrete data.
Does Scatter analysis use discrete data?
No. It uses continuous data. * * * * * Not true. It can use either discrete or continuous data.
What is a continuous and discrete data set?
time to learn a song for 4 hours, is this discrete or continuous data set?
Is discrete countable data used in statistical analysis?
Yes, discrete countable data is used in statistical analysis.
What is discrete data in statistics?
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What is discrte data in maths?
In maths there is discrete data and continuous data. Continuous data can be measured to any degree of accuracy, e.g. I am 1.8716749873651 metres tall. Discrete data cannot...e.g. I have 2 sisters. Discrete data cannot have halves or decimals, whole numbers only.
What are the advantages and disadvantages transforming of continuous data into either discrete or ordinal data?
1.) Discrete: restricted to integers; ordinal subjective
Continuous and discrete data?
Yeah, what about them
Is price discrete or continuous?
continuous because discrete data involve a count of items
Is the 'number of days' discrete data?
Yes, the 'number of days' is considered discrete data because it represents countable values. Discrete data consists of distinct, separate values, and in this case, days can only be whole numbers (e.g., 1, 2, 3) and cannot be fractional or decimal. Therefore, it falls into the category of discrete numerical data.
