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What else can I help you with?
What does it mean to say that a data point has a residual of negative one?
The point lies one unit below the regression line.
What does it mean to find a data point within one standard deviation of the mean?
The data point is close to the expected value.
Why the median of a set of data does not have to be one of the numbers in the set of data?
Because, if there is an even number of results in the set of data, the mean must be calculated by finding the half-way point between the two central numbers.
What do you get with mean minus std dev?
When you subtract the standard deviation from the mean, you get a value that represents one standard deviation below the average of a dataset. This can be useful for identifying lower thresholds in data analysis, such as determining the cutoff point for values that are considered below average. In a normal distribution, approximately 68% of the data falls within one standard deviation of the mean, so this value can help in understanding the spread of the data.
What does Data Redundancy mean in database design?
In database there are number of issues to be handled ,like redundant data, inconsistent data, unorganized data etc. Redundancy of data is the repetitive data that is taking the storage unnecessarily . So the redundant data must be removed or at least reduced.
What does it mean to say that a data point has a residual of negative one?
The point lies one unit below the regression line.
What you mean by residual value?
The point lies one unit above the regression line.
What does it mean to find a data point within one standard deviation of the mean?
The data point is close to the expected value.
What is the median of 14?
With just one data point, the mean, median and mode are all the same as the data point itself. In this case, 14.
What does the term residual mean?
Let's say that you fit a simple regression line y = mx + b to a set of (x,y) data points. In a typical research situation the regression line will not touch all of the points; it might not touch any of them. The vertical difference between the y-co-ordinate of one of the data points and the y value of the regression line for the x-co-ordinate of that data point is called a residual.There will be one residual for each data point.To see some labelled diagrams of residuals search images.google.com for residuals.
Can there be more than one mean in a set of numbers?
No. But there can be more than one data point which has the same value as the mean for the set of numbers. Or there can be none that take the mean value.
What does the term residual?
Let's say that you fit a simple regression line y = mx + b to a set of (x,y) data points. In a typical research situation the regression line will not touch all of the points; it might not touch any of them. The vertical difference between the y-co-ordinate of one of the data points and the y value of the regression line for the x-co-ordinate of that data point is called a residual.There will be one residual for each data point.To see some labelled diagrams of residuals search images.Google.com for residuals.
If a data point has a corresponding score of -1.5 then it is one and a half standard deviations above the mean value.?
If you are talking about the z-value of a point on the normal curve, then no, it is 1.5 standard deviations BELOW the mean.
Why the median of a set of data does not have to be one of the numbers in the set of data?
Because, if there is an even number of results in the set of data, the mean must be calculated by finding the half-way point between the two central numbers.
Is it true that in large data sets the mean is always one of the data values?
No. Here's one set of data where the mean is not one of the values: a set of 250,000 numbers. 125,000 of them are "1", 125,000 are "3". The mean of this data set is "2", which is not among the data.
What does one point pespective mean?
whats does one point perspective mean
A data transmission which involves only one transmitter and one receiver is known as?
Point-to-point transmission
