Some notes on z - scores and t - scores
Journal Title: International Journal of Scientific Research and Management - Year 2015, Vol 3, Issue 4
Abstract
A symmetrical distribution of scores , where there is an equal number of scores above and below the midpoint, is called the normal curve. A measure of the variability of a distribution of scores is obtained by standard deviation. In order to standardize test scores, a researcher needs to have an idea about the standard deviation of the distribution of the raw scores. When raw scores are converted to standard scores, we say that the scores are “st andardized.” This process is useful as the individual raw scores are transformed into a standard form. Both z score and t - score are used in hypothesis testing. Generally, when standard deviation of the population is known and the sample size is above 30, we use z score, else, we use t - score. Basically, when we convert individual scores to standard form, we get z scores which are used to find out by from many standard deviations from the mean the result lies. Such scores are used extensively in educational and psychological fields as these are consistent across tests , making it easy for comparison of scores. This paper deals with some notes on z - scores and t - scores.
Authors and Affiliations
Sahana Prasad
Keywords
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