Отметь понятия, которые соответствуют представлению о медиане и упорядоченном числовом ряде в статистике. Ответ: зависит только от цифр в наборе серединное значение вариационного ряда с нечётным количеством чисел вычисляется путём сложения всех чисел если в наборе нечётное количество чисел, то медиана - одно из них вариационный ряд - это числа, упорядченные по убыванию или возрастанию

Which of the following statements are TRUE about the Normal Distribution? Check all that apply. The graph of the Normal Distribution is bell-shaped, with tapering tails that never actually touch the horizontal axis. \( 50 \% \) of the data values lie at or above the mean. about \( 95 \% \) of all data values lie within 1 standard deviation of the mean. The mean, median and mode are all equal and occur at the center of the distribution. Data values are spread evenly around the mean. Data values farther from the mean are less common than data values closer to the mean.

In a normal distribution, a data value located 1.4 standard deviations below the mean has Standard Score: \( \mathrm{z}=-1.4 \) In a normal distribution, a data value located 2.3 standard deviations above the mean has Standard Score: \( \mathrm{z}=2.3 \) In a normal distribution, the mean has Standard Score: \( \mathrm{z}=\square \)

EJERCICIO 7 -1 Se muestran las tallas de calzado de los últimos 20 clientes que han entrado a una zapatería \[ \begin{array}{l}25,22.5,26,26.5,27,25,23,24,24,23,24,24.5,24.5,24,23.5,24.5 \\ 23.5,24.5,25,23.5\end{array} \] Ordena las tallas y elabora una gráfica de columnas para representar los datos

a class of 40 learners, 32 take Mathematics, 23 Hist ot take Mathematics or History. Draw a Venn diagram to illustrate the given information How many learners take Mathematics and History Determine the Following: the probability that a learner takes History and Mathen the probability that a learner does not take Mathematic How many learners take History but not Mathematics?

In a normal distribution, a data value located 1.2 standard deviations below the mean has Standard Score: \( \mathrm{z}=\square \) In a normal distribution, a data value located 2.4 standard deviations above the mean has Standard Score: \( \mathrm{z}=\square \) In a normal distribution, the mean has Standard Score: \( \mathrm{z}=\square \)