Yes, although the z-scores associated with p-values of 0.01 and 0.05 have special significance, perhaps mostly for historical reasons, all possible z-scores from negative infinity to positive infinity have meaning in statistical theory and practice.
s is the standard deviation of a sample. It is difficult to know what you are asking. I will note that there is a statistical programming language called S-Plus, see "Modern Applied Statistics with S-Plus, by Venables and Ripley. I also note that "s" is also used commonly in statistics as standard deviation of a sample. That's about all that comes to mind.
Z-scores, t-scores, and percentile ranks are all statistical tools used to understand and interpret data distributions. Z-scores indicate how many standard deviations a data point is from the mean, allowing for comparison across different datasets. T-scores, similar in function to z-scores, are often used in smaller sample sizes and have a mean of 50 and a standard deviation of 10, facilitating easier interpretation. Percentile ranks, on the other hand, express the relative standing of a score within a distribution, showing the percentage of scores that fall below a particular value, thus providing a different type of comparison.
All statistics are data because all statistics are formed of numbers and numbers are a type of data (numrical). But not all data is statistics because not all data is numbers, it can also be words, pictures etc. It's like saying all apples are fruit but all fruit are not apples.
Inter-quartile range, other percentile ranges, mean absolute variation, variance, standard error, standard deviation are all possible measures.
Nearly all the values in a sample from a normal population will lie within three standard deviations of the mean. Please see the link.
If the standard deviation of 10 scores is zero, then all scores are the same.
All the scores are equal
Since the standard deviation is zero, the scores are all the same. And, since their mean is 10, they must all be 10.
The mean and standard deviation. If the data really are normally distributed, all other statistics are redundant.
No. Not at all. Whoever told you that fails statistics forever.
One can find the scores and statistics for all sports on many different websites. One could check under the football section on ESPN and go directly to the NFL website.
A variable that has been transformed by multiplication of all scores by a constant and/or by the addition of a constant to all scores. Often these constants are selected so that the transformed scores have a mean of zero and a variance (and standard deviation) of 1.0.
Both sites have all Ole Miss scores,statistics, rankings, bowls, championships, awards etcetera. *See the Related Link for "Official Ole Miss Athletic Site" to the bottom for the answer.
ESPN's NFL site does offer real time scores on all NFL games being played. You can see text updates on the plays, check out statistics on players, and send in your comments.
Statistically analysis. Finding areas under the curves of normal distributions. Look in the back of any statistics text at the t scores. All done for you by calculus. Statistics are vital in many walks of life, from business to science.
Adding all the scores and dividing by the number of scores yields the mean or average.
s is the standard deviation of a sample. It is difficult to know what you are asking. I will note that there is a statistical programming language called S-Plus, see "Modern Applied Statistics with S-Plus, by Venables and Ripley. I also note that "s" is also used commonly in statistics as standard deviation of a sample. That's about all that comes to mind.