P-value = ?

Do different types of hospitals have different practices when submitting insurance claims? an In . Suppose an insurance examiner and his team compare the results of 27801 randomly selected health insurance claims to actual patient records. Insurance claims in the study came from three types of hospitals: public, private, and university hospitals. Of the 27801 claims evaluated, 15183 were conrmed to be accurate, 5357 contained errors but did not require recoding of the healthcare services provided, and 7261 were incorrect and required recoding of services billed. Macmillan Learn @ Data on the status of insurance claims are shown as a 3 X 3 contingency table. Inaccurate, Incorrect, Conrmed , no change recoding All accurate needed needed 245 Public 13388 4676 6452 16 Privat k 431 152 207 790 e U ' 249 ","e 1364 529 602 rstty 5 278 All 15183 5357 726i 0] If you wish, you may download the data in your preferred format. Crunchltl CSV Excel JMP Mac Text Minitahld-IX Minitab|3+ PC Text R SPSS TlCulc The examiner uses a chisquare test of independence at a signicance level of a = 0.10 to evaluate his null and alternative hypotheses. H0: There is no association between hospital type and insurance c1aim status. H]: There is an association between hospital type and insurance claim status. The value of his chi-square statistic 11 is 9.48773 with four degrees of freedom, Complete the analysis by computing the