(Applying Two-Way Frequency Tables MC)A social media company…
(Applying Two-Way Frequency Tables MC)A social media company tracked the professions of 290 users who watched different types of videos and displayed the data in a table. Beauty Tips Contests Interviews Reveals Artist 31 5 11 16 Student 29 15 19 14 Engineer 12 17 21 17 Nurse 8 23 29 23 Determine the empirical probability that a person who watched videos was an artist watching beauty tips.
Read Details(Applying Two-Way Frequency Tables MC)A social media company…
(Applying Two-Way Frequency Tables MC)A social media company tracked the professions of 290 users who watched different types of videos and displayed the data in a table. Beauty Tips Contests Interviews Reveals Artist 31 5 11 16 Student 29 15 19 14 Engineer 12 17 21 17 Nurse 8 23 29 23 Is being an artist independent of watching contests for these social media users? Justify your conclusion.
Read Details(Interpreting Independence HC)The table summarizes the daily…
(Interpreting Independence HC)The table summarizes the daily caffeine habits and majors of students at one university. Coffee Energy Drink No Caffeine STEM Major 0.32 0.13 0.02 Not STEM Major 0.17 0.27 0.09 Part A: Determine P(no caffeine | STEM major) and describe the event in everyday language. Show all work. (5 points)Part B: Are the events consuming no caffeine and a STEM major approximately independent? Use probabilities to justify the answer. (5 points)
Read Details