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How do you identify group data or ungroup data in standard deviation?
Wiki User
∙ 9y ago
You cannot. If you are told the standard deviation of a variable there is no way to tell whether that was derived from grouped or ungrouped data.
Wiki User
∙ 9y ago
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What is the definition of standard deviation?
Standard deviation is how much a group deviates from the whole. In order to calculate standard deviation, you must know the mean.
If the standard deviation of a group of data is the same are the results reliable?
It depends on WHAT the sd is the same as.
Standard deviation is helpful in calculating?
Standard deviation is a calculation. It I used in statistical analysis of a group of data to determine the deviation (the difference) between one datum point and the average of the group.For instance, on Stanford-Binet IQ tests, the average (or, mean) score is 100, and the standard deviation is 15. 65% of people will be within a standard deviation of the mean and score between 85 and 115 (100-15 and 100+15), while 95% of people will be within 2 standard deviations (30 points) of the mean -- between 70 and 130.
Standard deviation of 10 and mean of 50 approximately 68 percent of the group members receive scores somewhere between?
Within 1 stdev of the mean - between 40 and 60.
What is the definition of T score?
T score was originally given to a type of normalized score based on a group of unselected pre-adolescents. Notwithstanding, it has come to refer to any normally distributed standard scores that has a mean of 50 and a standard deviation of 10. L F C
What is the definition of standard deviation?
Standard deviation is how much a group deviates from the whole. In order to calculate standard deviation, you must know the mean.
What is the difference between group and ungroup?
Q: differentiate between group and ungroup data
What is the difference between group and ungroup data?
Q: differentiate between group and ungroup data
Is the variance of a group of scores the same as the squared standard deviation?
The standard deviation is defined as the square root of the variance, so the variance is the same as the squared standard deviation.
Is group data more accurate than ungroup data?
i think ungroup data is more accurate because we count each value. while, in group data there is interval
If the standard deviation of a group of data is the same are the results reliable?
It depends on WHAT the sd is the same as.
What does it mean when the standard deviation is 1?
A standard deviation is a statistical measure of the variation there in a population or group. A standard deviation of 1 means that 68% of the members of the population are withing plus or minus the value of the standard deviation from the average. For example: assume the average height of men is 5 feet 9 inches, and the standard deviation is three inches. Then 68% of all men are between 5' 6" and 6' which is 5'9" plus or minus 3 inches. [Note: this is only to illustrate and is not intended to be a real/correct statistic of men's heights.]
Standard deviation is helpful in calculating?
Standard deviation is a calculation. It I used in statistical analysis of a group of data to determine the deviation (the difference) between one datum point and the average of the group.For instance, on Stanford-Binet IQ tests, the average (or, mean) score is 100, and the standard deviation is 15. 65% of people will be within a standard deviation of the mean and score between 85 and 115 (100-15 and 100+15), while 95% of people will be within 2 standard deviations (30 points) of the mean -- between 70 and 130.
Why does the standard deviation get smaller as the individual in a group score more similarly on a test?
Because the standard deviation is a measure of the spread in scores. As individuals score more similarly, the spread gets smaller. Because the standard deviation is a measure of the spread in scores. As individuals score more similarly, the spread gets smaller. Because the standard deviation is a measure of the spread in scores. As individuals score more similarly, the spread gets smaller. Because the standard deviation is a measure of the spread in scores. As individuals score more similarly, the spread gets smaller.
What are Deviation-Based Outlier Detection?
Deviation-based outlier detection does not use the statistical test or distance-based measures to identify exceptional objects. Instead, it identifies outliers by examining the main characteristics of objects in a group.
What is the difference standard error of mean and sampling error?
The standard error of the mean and sampling error are two similar but still very different things. In order to find some statistical information about a group that is extremely large, you are often only able to look into a small group called a sample. In order to gain some insight into the reliability of your sample, you have to look at its standard deviation. Standard deviation in general tells you spread out or variable your data is. If you have a low standard deviation, that means your data is very close together with little variability. The standard deviation of the mean is calculated by dividing the standard deviation of the sample by the square root of the number of things in the sample. What this essentially tells you is how certain are that your sample accurately describes the entire group. A low standard error of the mean implies a very high accuracy. While the standard error of the mean just gives a sense for how far you are away from a true value, the sampling error gives you the exact value of the error by subtracting the value calculated for the sample from the value for the entire group. However, since it is often hard to find a value for an entire large group, this exact calculation is often impossible, while the standard error of the mean can always be found.
What is the average IQ for a 11 year old?
IQ is based on an average of 100 and a standard deviation of 15 for any group
