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What else can I help you with?
What does categorical data vary mean?
Categorical data varies when there are a variety of different categories.
Why is the mean a measure of the center of the data?
mean does not mean the center of the data
What do you mean by data assembly?
what do you mean by data assembly?
Find the mean of the data?
The mean of a set of data is the sum of that data divided by the number of items of data.
How does data vary with age?
They don't, they become historical data but the facts/numbers are still what they were when the measurement were recoded.
What does categorical data vary mean?
Categorical data varies when there are a variety of different categories.
What does numerical data vary mean?
When there are a variety of different numbers numerical data varies. -RJC
Why is mean a measure of the center of the data?
mean does not mean the center of the data
Why is the mean a measure of the center of the data?
mean does not mean the center of the data
What do you mean by data assembly?
what do you mean by data assembly?
Find the mean of the data?
The mean of a set of data is the sum of that data divided by the number of items of data.
What do you mean of helerogeneous?
Heterogeneous means a diverse or varied mix of different elements or components. In the context of data or systems, it refers to a mix of different types of data or components that may vary in structure, format, or characteristics.
Does the mean have to be a member of the set of data?
no. Some mean is a number from the data but some mean is completely different from its data.
What does sensory data mean?
Its mean incomplete data or the data upon which we can not rely totally.
Is the mean of the grouped data is equal to the mean of ungrouped data?
Suppose you compare the mean of raw data and the mean of the same raw data grouped into a frequency distribution. These two means will be
What do mean by Data Handling?
what do you mean by data handling define mean mode median
How does the outlier affect the mean of the data?
An outlier does affect the mean of the data. How it's affected depends on how many data points there are, how far from the data the outlier is, whether it is greater than the mean (increases mean) or less than the mean (decreases the mean).
