↑The data on hospitalizations for swine flu are summarized in the accompanying table. The table looks at the relation between Age Group and Hospitalization, for all swine flu victims in a certaincountry. Because some of the expected values are less than 5, some groups should be combined. Combine all the people who are 30 years old or older in one group and all the people who are lessthan 30 years old in another group. Show your new table. Then test the new table to see whether there is an association between the variables, using a significance level of a = 0.05. Assume thatthis is a random sample from the population of all future and past swine flu victims.Click the icon to view the swine flu hospitalization data.Complete the table.Hospitalized, YesHospitalized, NoTotalsAge GroupUnder 30 30 and Over Totals54557611Determine the null and alternative hypotheses. Choose the correct answer below.OA. Ho: There is an association between age group and swine flu hospitalization.Ha: There is no association between age group and swine flu hospitalization.OB. Ho: There is no association between age group and swine flu hospitalization.Ha: There is an association between age group and swine flu hospitalization.OC. Ho: There is no association between age group and swine flu hospitalization.Ha: There is a positive association between age group and swine flu hospitalization.O D. Ho: There is no association between age group and swine flu hospitalization.H₂: There is a negative association between age group and swine flu hospitalization.Swine Flu HospitalizationsHospitalized, YesHospitalized, NoTotalsAge Group152Under 5 5 to 14 15 to 29 30 to 44 45 to 60 Over 60 Totals15113846 18254 195568229244719PrintDone363854557611 The data on hospitalizations for swine flu are summarized in the accompanying table. The table looks at the relation between Age Group and Hospitalization, for all swine flu victims in a certaincountry. Because some of the expected values are less than 5, some groups should be combined. Combine all the people who are 30 years old or older in one group and all the people who are lessthan 30 years old in another group. Show your new table. Then test the new table to see whether there is an association between the variables, using a significance level of a = 0.05. Assume thatthis is a random sample from the population of all future and past swine flu victims.Click the icon to view the swine flu hospitalization data.OB. Ho: There is no association between age group and swine flu hospitalization.H₂: There is an association between age group and swine flu hospitalization.OC. Ho: There is no association between age group and swine flu hospitalization.Ha: There is a positive association between age group and swine flu hospitalization.O D. Ho: There is no association between age group and swine flu hospitalization.H₂: There is a negative association between age group and swine flu hospitalization.What is the test statistic?x² = (Round to two decimal places as needed.)Use technology to find the p-value.p-value= (Round to three decimal places as needed.)Choose the correct conclusion below.OA. Reject Ho (at least with this age grouping). There is not sufficient evidence to show an association between age group and hospitalization.O B. Do not reject Ho (at least with this age grouping). There is not sufficient evidence to show an association between age group and hospitalization.sufficient evidence to show an association between age group and hospitalization.OC. Reject Ho (at least with this age grouping). ThereOD. Do not reject Ho (at least with this age grouping). There is sufficient evidence to show an association between age group and hospitalization.

The data on hospitalizations for swine flu are summarized in the accompanying table. The table looks at the relation between Age Group and Hospitalization, for all swine flu victims in a certain country. Because some of the expected values are less than 5, some groups should be combined. Combine all the people who are 30 years old or older in one group and all the people who are less than 30 years old in another group. Show your new table. Then test the new table to see whether there is an association between the variables, using a significance level of alpha = 0.05 Assume that this is a random sample from the population of all future and past swine flu victims.under30(YES)=under5+5to14+15to29=8+13+15=3630and Over(YES)=30to44+45to60+Over60=15+2+1=18under30(NO)=under5+5to14+15to29=46+182+229=45730and Over(NO)=30to44+45to60+Over60=56+36+8=100Total=under30(YES)+under30(NO)=36+457=493Total=30and Over(YES)+30and Over(NO)=18+100=118 Under 30 30 and Over Totals Yes 36 18 54 No 457 100 557 Totals 493 118 661H0 : There is no association between age group and swine flu hospitalization Ha : There is an association between age group and swine flu hospitalization.:Observed Frequencies B1 B2 Total A1 36 18 54 A2 457 100 557 Total 493 118 611 Expected Frequencies B1 B2 Total A1 43.5712 10.4288 54 A2 449.4288 107.5712 557 Total 493 118 611 Test statics : the degrees of freedom (df).df=(2-1)⋅(2-1)=1 for 1 df, p(χ2≥7.47)=0.006 [by excel =1-CHISQ.DIST(7.47,1,2) ]Since the p-value(0.0063) < α(0.05) (one-tailed test), we reject the null hypothesis H0. Reject H0 at least with this age grouping). There is sufficient evidence to show an association between age group and hospitalization.