Correlation is a relatively quick way to test for causality as well as statistical significance. (A) True (B) False

16. Bob made a picture graph of the marbles he and his friends have. How many more marbles does Bob have than Kayla? Explain ho you found the answer.

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:

\#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.

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?

Write down the upper and lower quartiles. Upper Quartile = Lower Quartile = Question 3