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When comparing administrative distances the routing process will choose values over values?
lower then higher
Advantages and disadvantages of mean in statistics?
MEDIANUse the median to describe the middle of a set of data that does have an outlier.Advantages:• Extreme values (outliers) do not affect the median as strongly as they do the mean.• Useful when comparing sets of data.• It is unique - there is only one answer.Disadvantages:• Not as popular as mean.
What would a bar chart be used for?
Bar charts are used for comparing different pieces of data to each other, using horizontal bars. Categories are organised vertically, values horizontally, to focus on comparing values and to place less emphasis on time. Stacked bar charts show the relationship of individual items to the whole. Bar charts can sometimes be used as a way of making charts for project management.
When comparing electrical usage among customer a small standard deviation indicates that the mean is?
It doesn't matter whether comparisons are involved. A small standard deviation indicates that population values are likely to be clustered closely around the mean.
What are the place values of the number 7600000000?
Individual digits within a number have place values, not whole numbers.
What does the unit of account mean?
The item is divisible and each unit is worth the same (Apex)
When comparing administrative distances the routing process will choose values over values?
lower then higher
What place values come after trillions?
I guess you mean the place value column to the left of a trillion: ten trillion
Advantages and disadvantages of mean in statistics?
MEDIANUse the median to describe the middle of a set of data that does have an outlier.Advantages:• Extreme values (outliers) do not affect the median as strongly as they do the mean.• Useful when comparing sets of data.• It is unique - there is only one answer.Disadvantages:• Not as popular as mean.
What is the definition of comparing and ordering whole numbers and decimals?
Comparing and ordering whole numbers and decimals involves examining the numerical values of each number to determine their relative magnitude. When comparing whole numbers or decimals, you are essentially looking at which number is greater, lesser, or if they are equal. Ordering involves arranging the numbers in a sequence from least to greatest or greatest to least based on their numerical values. This process is essential for understanding numerical relationships and making informed decisions in various mathematical contexts.
What would a bar chart be used for?
Bar charts are used for comparing different pieces of data to each other, using horizontal bars. Categories are organised vertically, values horizontally, to focus on comparing values and to place less emphasis on time. Stacked bar charts show the relationship of individual items to the whole. Bar charts can sometimes be used as a way of making charts for project management.
When comparing electrical usage among customer a small standard deviation indicates that the mean is?
It doesn't matter whether comparisons are involved. A small standard deviation indicates that population values are likely to be clustered closely around the mean.
What you mean by GB?
how it is and comparing it
Is Islamabad a historical place?
Comparing with Lahore, Islamabad is at all not a historical place
What is the 5 in 205300005001 place value?
There are.two 5s in the number and they have different place values. You need to specify which 5 you mean.
Is the process of comparing data with a set of rules or values to find out if the data is correct?
Data validation.
Advantages and disadvantages of median in statistics?
The median is advantageous because it is not influenced by extreme values, making it a robust measure of central tendency for skewed data sets. It is also easy to interpret and calculate. However, the median may not accurately represent the true center of a dataset if the data is heavily skewed or if there are outliers present. Additionally, the median may not be as efficient as the mean for certain statistical calculations due to its lack of sensitivity to all data points.
