Which of the following statements are TRUE about the normal distribution? Check all that apply. The area to the left of a z-score plus the area to the right of that same z-score will always equal 1 . A data value with z-score \( =-1.5 \) is located 1.5 standard deviations below the mean. The Empirical Rule only applies when a value is exactly 1,2 , or 3 standard deviations away from the mean. A z-score is the number of standard deviations a specific data value is from the mean of the distribution.

In a class of 40 leamers, 32 take Mathematics, 23 History and 4 do not 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 Mathernatics. the probability that a learner does not take Mathematics. How many learners take History but not Mathematics?

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?

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

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: \( \mathrm{z}=\square \)

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: \( \mathrm{z}=\square \)