Question: we have do do this on excel and rough paper . .. 3) An auditor for a government agency is assigned the task of evaluating

we have do do this on excel and rough paper

we have do do this on excel and rough paper . ..3) An auditor for a government agency is assigned the task ofevaluating reimbursement for office visits to physicians paid by Medicare. The audit

. .. 3) An auditor for a government agency is assigned the task of evaluating reimbursement for office visits to physicians paid by Medicare. The audit was conducted on a sample of 72 of the reimbursements, with the sample yielding the following results: In 9 out of the 72 office visits, an incorrect amount of reimbursement was provided. The mean amount of reimbursement throughout the entire sample was $93.70 with a standard deviation of $34.55. (a) At the 0.05 level of significance, is there evidence that the population mean reimbursement was different from $100? (Use the critical value approach) (b) At the 0.02 level of significance, is there evidence that the proportion of incorrect reimbursements in the population was below 0.15? (Use the p-value approach)/ Paste your working here:. . . . . . . .... An auditor for a government agency is assigned the task of evaluating reimbursement for office visits to physicians paid by Medicare. The audit was conducted on a sample of 72 of the reimbursements, with the sample yielding the following results: In 9 out of the 72 office visits, an incorrect amount of reimbursement was provided. The mean amount of reimbursement throughout the entire sample was $93.70 with a standard deviation of $34.55. (a) At the 0.05 level of significance, is there evidence that the population mean reimbursement was different from $100? (Use the critical value approach) (b) At the 0.02 level of significance, is there evidence that the proportion of incorrect reimbursements in the population was below 0.15? (Use the p-value approach)Year GDP Education Spend Unemployment Rate Employee Compensation 2000 256,376 14,185 7.00 128,564 2001 264,335 15,004 6.60 135,710 2002 273,256 15,821 7.50 141,985 2003 281,200 16,566 8.20 144,669 2004 296,820 16,709 8.40 148,851 2005 310,038 17,646 8.50 153,985 2006 325,152 18,295 8.30 161,393 2007 343,619 18,962 7.50 170, 106 2008 351,743 20,133 7.00 179,628 2009 346,473 21,071 7.90 180,906 2010 363,140 21,936 8.30 184,711 2011 375,968 23,356 7.20 193, 171 2012 386,175 24,158 7.60 199,806 2013 392,880 25,045 8.40 203,606 2014 403,003 25,436 8.50 206,201 2015 416,701 26,282 8.50 208, 128 2016 430,085 26,675 7.80 211,813 2017 444,991 27,853 7.10 219, 187 2018 460,419 28,618 6.00 226,300

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