Sara is a salesperson for high-and digital cameras. Historically, Sam has sold an average of 1.8 extended warranties per day, Data in the accompanying table display the number of extended warrantes that Sara has sold per day over the past 40 business days. a. Using a =0.05, perform a chi-square test to determine if the data follow a Poisson probability distribution with ) = 1:8 b. Determine the p-value for the chi-square test statistic using Excel and interpret its meaning Ill Click the icon to view the data table. a. Stale the appropriate null and alternative hypotheses. What is the null hypothesis? ( A. He: The number of extended warranties sold per day follows the Poisson probability distribution with ) = 1.8. O:B. Ho: The mean number of extended warranties sold per day is A = 1.8. O C. Ha: The mean number of extended warranties sold per day is not ) = 1.8. O D. H, The number of extended warranties sold per day does not follow the Poisson probability diainbution with A = 1.8. What is the alternative hypothesis? A. H, The number of extended warranties sold per day follows the Poisson probability distribution with ) = 1.8. O B. H,: The mean number of extended warranties sold per day is not ). = 1.8. O C. Hit The number of extended warranties sold per day does not follow the Poisson probability distribution with A = 1 8. O D. H, The mean number of extended warranties sold per day is A = 1.8.Sara is a salesperson for high-and digital cameras. Historically, Sam has sold an average of 1.8 extended warranties per day, Data in the accompanying table display the number of extended warrantes that Sara has sold per day over the past 40 business days. a. Using a =0.05, perform a chi-square test to determine if the data follow a Poisson probability distribution with ) = 1:8 b. Determine the p-value for the chi-square test statistic using Excel and interpret its meaning Ill Click the icon to view the data table. a. Stale the appropriate null and alternative hypotheses. What is the null hypothesis? ( A. He: The number of extended warranties sold per day follows the Poisson probability distribution with ) = 1.8. O:B. Ho: The mean number of extended warranties sold per day is A = 1.8. O C. Ha: The mean number of extended warranties sold per day is not ) = 1.8. O D. H, The number of extended warranties sold per day does not follow the Poisson probability diainbution with A = 1.8. What is the alternative hypothesis? A. H, The number of extended warranties sold per day follows the Poisson probability distribution with ) = 1.8. O B. H,: The mean number of extended warranties sold per day is not ). = 1.8. O C. Hit The number of extended warranties sold per day does not follow the Poisson probability distribution with A = 1 8. O D. H, The mean number of extended warranties sold per day is A = 1.8