Simply put, a z-score (also called a standard score) gives an idea of how far it is from the average value of a data point. More technically it is a measure of how many standard deviations below or above the given population mean a raw score. A z-score can be placed on a normal distribution curve. PEGI 3. SZCZEGÓŁY. RECENZJE. WIĘCEJ. If a long lost arcade game from 1983 resurfaced today, it would be Donut Dodo - a classic 2D platformer from the golden era, tough as nails and challenging for the whole family! Ready to top the high score table? What is Z Score? Simply put, a z-score (also called as standard score) gives you an idea of how far from the mean a data point is. More technically it's a measure of how many standard deviations below or above the population mean a raw score is. Mówiąc wprost, wynik z-score (nazywany również standardowym wynikiem) daje wyobrażenie o tym, jak daleko jest on od średniej wartości punktu danych. Bardziej technicznie jest to miara tego, ile standardowych odchyleń poniżej lub powyżej danej populacji oznacza wynik surowy. Z-score measures how much a z-score deviates from the mean of the distribution in terms of standard deviation. It tells us about the position of the data value in the normal distribution. It describes the distance between two extreme data points in the distribution very accurately. A positive z-score means the data point is greater than the mean, and a negative z-score means a data point is lesser than the mean. The z-score formula for a population's data is given as: z = (x - μ)⁄σ. Where z is the z-score, x is the raw score, μ is the population mean, and σ is the population standard deviation. .

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