Para una familia de n integrantes con un ingreso total de \( \$ 3.00 .000 \). ¿qué condición debe cumplir n para asegurar que el IPF de esa familia pertenezca al intervalo en el que estả el percentil 50 de los datos? A) \( 2<\mathrm{n} \leq 4 \) B) \( 0<\mathrm{n} \leq 6 \) C) \( \quad 4<\mathrm{n} \leq 6 \) D) \( 0 \leq \mathrm{n} \leq 4 \)

\#3 A set of data has correlation coefficient \( r \). For which value of \( r \) would the average magnitude of the residuals be the largest? a. \( r=-0.516 \) b. \( r=-0.445 \) c. \( r=0.875 \) d. \( r=0.158 \)

1. Estas interesado en detectar diferencias en tiempo promedio de programación de comerciales en horario estelar. Un estudio similar detecto una desviación estándar de 30 minutos. Quisieras calcular una muestra con una confiabilidad del \( 95 \% \) y un error máximo tolerable de 5 minutos en tus estimaciones. ¿Qué tan grande tiene que ser tu muestra?

Nance Layla Maizonet \#1 Which of the following correlation coefficients indicates the strongest relationship between two variables? a. -0.535 b. -0.534 c. 0.418 d. -0.816 \#2 A survey was taken comparing the number of hours per week students spent studying and their performance on an exam. If a linear regression was performed and the correlation coefficient was 0.017 , what can be said about these results?

\#2 A survey was taken comparing the number of hours per week students spent studying and their performance on an exam. If a linear regression was performed and the correlation coefficient was -0.017 , what can be said about these results? a. As the number of hours spent studying increases, student exam performances will likely not change. b. As the number of hours spent studying inrceases, student exam performances will probably increase. c. As the number of hours spent studying increases, student exam performances will probably decrease. d. There is little evidence of a linear relationship between the number of hours spent studying and student exam performances.

For the given data: 22; \( 9 ; 19 ; 2 ; 38 ; 40 ; 7 ; 38 ; 44 ; 6 ; 12 ; 10 ; 20 ; 31 ; 48 ; 45 \) Determine the Quartiles, Q1, Q2 and Q3 of the data: Q1: Q2: