The Director of Human Resources at a large company wants to determine if there are any irregularities in the use of employee sick leave. The number of employee's o sick leave was recoded each day for a6 months and subtotaled by day. Using table below-at significance level 0.05, test H0: Daily leave usage is:

	Days Sick
Monday	320
Tuesday	270
Wednesday	310
Thursday	300
Friday	295
Saturday	295

1. The pvalue 0.44 > (x is not significant evidence against H0 and does not reject H0. The sick leave policies and procedures are working.
2. The chi-square statistic 11.15 exceeds the critical value 9.49 and rejects H0. Action is required to characterize the inconsistency and revise the policy as needed.
3. Thepvalue 0.20 > (x is not significant evidence against H0, and does not reject h0. The sick leave policies and procedures are working.
4. The chi-square statistic 17.1 exceeds the critical value 9.49 and rejects H0. Action is required to characterize the inconsistency and revise the policy as needed
5. None of the answers are correct.
6. The chi-square statistic 20 exceeds the critical value 9.49 and rejects H0. Action is required to characterize the inconsistency and revise policy as needed.