Z SCORE
A z-score describes the position of a raw score in terms of its distance from the mean, when measured in standard deviation units. The z-score is positive if the value lies above the mean, and negative if it lies below the mean.
It is also known as a standard score, because it allows comparison of scores on different kinds of variables by standardizing the distribution. A standard normal distribution (SND) is a normally shaped distribution with a mean of 0 and a standard deviation (SD) of 1
How do you interpret a z-score?
The value of the z-score tells you how many standard deviations you are away from the mean. If a z-score is equal to 0, it is on the mean.
A positive z-score indicates the raw score is higher than the mean average. For example, if a z-score is equal to +1, it is 1 standard deviation above the mean.
A negative z-score reveals the raw score is below the mean average. For example, if a z-score is equal to -2, it is 2 standard deviations below the mean.o Another way to interpret z-scores is by creating a standard normal distribution (also known as the z-score distribution or probability distribution).
APA File
എന്റെ Poster
എന്റെ Broucher
PPT- Z Score
Google class room Z Score
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ക്വിസുകളിൽ നിന്നുള്ള ക്വിസ് (z സ്കോർ ഇ)
യൂ ട്യൂബ് ചാനൽ വീഡിയോ (ZScore)
എന്റെ അവതരണ വീഡിയോ കാണൂ
