StatCrunch Applets * Edit Data Stat Graph Help Airline 1 Airline 2 Airline 3 var5 Airline K Row Status 3 1 Early 21 25 23 2 25 23 2 On time 59 57 49 57 19 3 Late 25 29 13 4 a. Using a = 0.025, perform a chi-square test to determine if on-time performance and airline are independent of one another. Identify the null and alternative hypotheses for a chi-square test of independence based on the information in the table. Choose the correct answer below. O A. Ho: The airline and the status of the flight are not independent of one another. Hy: The airline and the status of the flight are independent of one another. O B. Ho: The airline and the status of the flight are independent of one another. H : The airline affects the status of the flight. O C. He: The airline and the status of the flight are independent of one another. H1: The airline and the status of the flight are not independent of one another. O D. Ho: The airline and the status of the flight are independent of one another. H: The status of the flight affects the airline