A company is started by four friends. The company was Erica's idea, so she wants to fill 70% of the orders. Jen, Because the P-value is less than 0.05, Erica rejects the null hypothesis. Because the null hypothesis is Heather, and Tonya each agree to fill 10% of the orders. After a successful first year, Erica wants to rejected, she would like to know which term contributed the significance of the test. Complete a follow-up analysis. Which term contributed the most to the determine if the distribution of the number of orders filled is adhering to the agreed-upon percentages. She significance of this test? Were there more or fewer orders being filled by this person than expected? decides to test: Ho: PErica =0.7, pjen = 0.1, PHeather = 0.1, PTonya =0.1 O Erica, more than expected H: Not all of the pi's are as stated. O Erica, fewer than expected To do so, she selects a random sample of 100 orders O Jen, more than expected from the large number of orders that were filled and O Jen, fewer than expected determines who filled the order. She finds that Erica filled 56 orders, Jen filled 18, Heather filled 14, and Tonya filled 12. The chi-square test statistic for goodness of fit is x2 = 11.20 and the P-value is between 0.01 and O 02