{"text_format":"3","workbook":"xlsb","n_sheets":6,"sheets":["Documentation","Sampling Plan","Universe","Random Numbers","Sample & Review","Extrapolation"],"not_rendered":{"defined_names":12},"read":"bin_skipped_in_rows","date_system":"1900","formulas":"cached_only","passed_over":{"ids":[37,38,1024],"n":6822}}

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["This tab must be filled out by the person(s) performing the statistical sampling and extrapolation work. "]
[]
["Name:"]
["Title:"]
["Employer:"]
["Education:"]
["Related Work Experience:"]

{"sheet":"Sampling Plan","index":1,"n_rows":41,"n_cols":2,"rows_kept":41,"merged":[[0,0,0,1],[1,0,1,1],[5,0,5,1],[13,0,13,1],[16,0,16,1],[22,0,22,1],[24,0,24,1],[29,0,29,1],[30,0,30,1],[31,0,31,1],[36,0,36,1],[37,0,37,1],[40,0,40,1]],"flags":["formulas_cached_only"]}
["Sampling Plan"]
["1. Define Provider"]
["Provider Name"]
["Provider NPI"]
["Provider ID"]
["2. Define Universe"]
["Audit Period","XX/XX/XXXX through XX/XX/XXXX"]
["Claim Source","FFS or ENC"]
["Status: Paid, Adjusted, Denied, Void","Paid, Adjusted"]
["Procedure Code","XXXXX"]
["Modifier","XX"]
["Payment Amounts","$67-$133"]
["Exclusions","-"]
["3. Universe Size"]
["Total Paid Claims",{"v":1000,"d":"1,000 "}]
["Total Dollars",{"v":99806.90208056725,"d":"$99,806.90"}]
["4. Define Sampling Method"]
["Type of Sample","Simple Random Sample"]
["Strata Definition","Payment Amount"]
["Sampling Unit","Unique Claim (Clm ICN Idn)"]
["Measurement Unit","Unique Claim (Clm ICN Idn)"]
["Number of Strata",1]
["5. Strata Definitions"]
["Stratum 1 (S1)","$67-$133"]
["6. Universe Sort"]
["Applicable Tab","Universe"]
["Sort by","Payment Amount (Smallest to Largest)"]
["Then by","Service Date"]
["Then by","Clm ICN Idn"]
["7. Sample Size Determination"]
["Specify Software used for Sample Size Determination"]
["Specify Sample Size Requirements"]
["Probe Sample Size"]
["Stratum 1 (S1)",31]
["Full Sample Size","(includes probe claims)"]
["Stratum 1 (S1)",100]
["8. Random Number Generation"]
["Specify Software used for Random Number Generation"]
["Strata","Seed Number"]
["Stratum 1 (S1)",{"v":45418,"d":"45418.00"}]
["Note: All numbers in this report were simulated for demonstration purposes. "]

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[459,5,{"$nulls":5},"S1",107,5,"Probe"]
[669,6,{"$nulls":5},"S1",32,6,"Probe"]
[611,7,{"$nulls":5},"S1",213,7,"Probe"]
[292,8,{"$nulls":5},"S1",920,8,"Probe"]
[579,9,{"$nulls":5},"S1",427,9,"Probe"]
[398,10,{"$nulls":5},"S1",268,10,"Probe"]
[278,11,{"$nulls":5},"S1",713,11,"Probe"]
[744,12,{"$nulls":5},"S1",653,12,"Probe"]
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[508,14,{"$nulls":5},"S1",818,14,"Probe"]
[211,15,{"$nulls":5},"S1",243,15,"Probe"]
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[237,17,{"$nulls":5},"S1",723,17,"Probe"]
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[234,35,{"$nulls":5},"S1",651,35,"Full"]
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[617,42,{"$nulls":5},"S1",567,42,"Full"]
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[69,44,{"$nulls":5},"S1",320,44,"Full"]
[578,45,{"$nulls":5},"S1",910,45,"Full"]
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[215,52,{"$nulls":5},"S1",812,52,"Full"]
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[323,57,{"$nulls":5},"S1",404,57,"Full"]
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[460,62,{"$nulls":5},"S1",719,62,"Full"]
[769,63,{"$nulls":5},"S1",350,63,"Full"]
[894,64,{"$nulls":5},"S1",548,64,"Full"]
[245,65,{"$nulls":5},"S1",171,65,"Full"]
[4,66,{"$nulls":5},"S1",597,66,"Full"]
[860,67,{"$nulls":5},"S1",539,67,"Full"]
[115,68,{"$nulls":5},"S1",742,68,"Full"]
[835,69,{"$nulls":5},"S1",44,69,"Full"]
[636,70,{"$nulls":5},"S1",888,70,"Full"]
[969,71,{"$nulls":5},"S1",842,71,"Full"]
[80,72,{"$nulls":5},"S1",251,72,"Full"]
[680,73,{"$nulls":5},"S1",820,73,"Full"]
[694,74,{"$nulls":5},"S1",510,74,"Full"]
[904,75,{"$nulls":5},"S1",978,75,"Full"]
[81,76,{"$nulls":5},"S1",93,76,"Full"]
[481,77,{"$nulls":5},"S1",118,77,"Full"]
[796,78,{"$nulls":5},"S1",150,78,"Full"]
[921,79,{"$nulls":5},"S1",709,79,"Full"]
[538,80,{"$nulls":5},"S1",72,80,"Full"]
[125,81,{"$nulls":5},"S1",76,81,"Full"]
[219,82,{"$nulls":5},"S1",221,82,"Full"]
[546,83,{"$nulls":5},"S1",637,83,"Full"]
[721,84,{"$nulls":5},"S1",847,84,"Full"]
[519,85,{"$nulls":5},"S1",621,85,"Full"]
[182,86,{"$nulls":5},"S1",196,86,"Full"]
[845,87,{"$nulls":5},"S1",986,87,"Full"]
[444,88,{"$nulls":5},"S1",717,88,"Full"]
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[32,96,{"$nulls":5},"S1",816,96,"Full"]
[976,97,{"$nulls":5},"S1",817,97,"Full"]
[53,98,{"$nulls":5},"S1",633,98,"Full"]
[502,99,{"$nulls":5},"S1",379,99,"Full"]
[534,100,{"$nulls":5},"S1",552,100,"Full"]
[583,101,{"$nulls":5},"S1",531,101,"No"]
[184,102,{"$nulls":5},"S1",749,102,"No"]
[174,103,{"$nulls":5},"S1",348,103,"No"]
[818,104,{"$nulls":5},"S1",944,104,"No"]
[681,105,{"$nulls":5},"S1",109,105,"No"]
[627,106,{"$nulls":5},"S1",752,106,"No"]
[5,107,{"$nulls":5},"S1",23,107,"No"]
[439,108,{"$nulls":5},"S1",397,108,"No"]
[105,109,{"$nulls":5},"S1",551,109,"No"]
[417,110,{"$nulls":5},"S1",129,110,"No"]
[430,111,{"$nulls":5},"S1",599,111,"No"]
[736,112,{"$nulls":5},"S1",516,112,"No"]
[135,113,{"$nulls":5},"S1",296,113,"No"]
[553,114,{"$nulls":5},"S1",361,114,"No"]
[878,115,{"$nulls":5},"S1",68,115,"No"]
[158,116,{"$nulls":5},"S1",156,116,"No"]
[650,117,{"$nulls":5},"S1",883,117,"No"]
[77,118,{"$nulls":5},"S1",356,118,"No"]
[447,119,{"$nulls":5},"S1",172,119,"No"]
[229,120,{"$nulls":5},"S1",611,120,"No"]
[963,121,{"$nulls":5},"S1",263,121,"No"]
[846,122,{"$nulls":5},"S1",967,122,"No"]
[982,123,{"$nulls":5},"S1",716,123,"No"]
[145,124,{"$nulls":5},"S1",603,124,"No"]
[513,125,{"$nulls":5},"S1",81,125,"No"]
[90,126,{"$nulls":5},"S1",859,126,"No"]
[558,127,{"$nulls":5},"S1",158,127,"No"]
[390,128,{"$nulls":5},"S1",836,128,"No"]
[110,129,{"$nulls":5},"S1",858,129,"No"]
[1000,130,{"$nulls":5},"S1",293,130,"No"]
[307,131,{"$nulls":5},"S1",89,131,"No"]
[419,132,{"$nulls":5},"S1",300,132,"No"]
[568,133,{"$nulls":5},"S1",406,133,"No"]
[668,134,{"$nulls":5},"S1",600,134,"No"]
[416,135,{"$nulls":5},"S1",113,135,"No"]
[160,136,{"$nulls":5},"S1",375,136,"No"]
[500,137,{"$nulls":5},"S1",679,137,"No"]
[365,138,{"$nulls":5},"S1",254,138,"No"]
[992,139,{"$nulls":5},"S1",411,139,"No"]
[629,140,{"$nulls":5},"S1",148,140,"No"]
[911,141,{"$nulls":5},"S1",886,141,"No"]
[296,142,{"$nulls":5},"S1",459,142,"No"]
[929,143,{"$nulls":5},"S1",488,143,"No"]
[953,144,{"$nulls":5},"S1",311,144,"No"]
[714,145,{"$nulls":5},"S1",124,145,"No"]
[678,146,{"$nulls":5},"S1",756,146,"No"]
[674,147,{"$nulls":5},"S1",260,147,"No"]
[140,148,{"$nulls":5},"S1",537,148,"No"]
[530,149,{"$nulls":5},"S1",596,149,"No"]
[78,150,{"$nulls":5},"S1",979,150,"No"]
[885,151,{"$nulls":5},"S1",735,151,"No"]
[268,152,{"$nulls":5},"S1",563,152,"No"]
[811,153,{"$nulls":5},"S1",270,153,"No"]
[370,154,{"$nulls":5},"S1",918,154,"No"]
[804,155,{"$nulls":5},"S1",631,155,"No"]
[116,156,{"$nulls":5},"S1",166,156,"No"]
[540,157,{"$nulls":5},"S1",449,157,"No"]
[127,158,{"$nulls":5},"S1",116,158,"No"]
[954,159,{"$nulls":5},"S1",540,159,"No"]
[624,160,{"$nulls":5},"S1",136,160,"No"]
[269,161,{"$nulls":5},"S1",839,161,"No"]
[552,162,{"$nulls":5},"S1",730,162,"No"]
[405,163,{"$nulls":5},"S1",601,163,"No"]
[331,164,{"$nulls":5},"S1",784,164,"No"]
[225,165,{"$nulls":5},"S1",1,165,"No"]
[156,166,{"$nulls":5},"S1",656,166,"No"]
[289,167,{"$nulls":5},"S1",698,167,"No"]
[522,168,{"$nulls":5},"S1",415,168,"No"]
[31,169,{"$nulls":5},"S1",973,169,"No"]
[732,170,{"$nulls":5},"S1",587,170,"No"]
[65,171,{"$nulls":5},"S1",392,171,"No"]
[119,172,{"$nulls":5},"S1",399,172,"No"]
[781,173,{"$nulls":5},"S1",433,173,"No"]
[760,174,{"$nulls":5},"S1",103,174,"No"]
[241,175,{"$nulls":5},"S1",884,175,"No"]
[33,176,{"$nulls":5},"S1",857,176,"No"]
[305,177,{"$nulls":5},"S1",580,177,"No"]
[514,178,{"$nulls":5},"S1",50,178,"No"]
[657,179,{"$nulls":5},"S1",675,179,"No"]
[866,180,{"$nulls":5},"S1",930,180,"No"]
[364,181,{"$nulls":5},"S1",409,181,"No"]
[326,182,{"$nulls":5},"S1",86,182,"No"]
[889,183,{"$nulls":5},"S1",977,183,"No"]
[886,184,{"$nulls":5},"S1",102,184,"No"]
[690,185,{"$nulls":5},"S1",473,185,"No"]
[526,186,{"$nulls":5},"S1",616,186,"No"]
[643,187,{"$nulls":5},"S1",996,187,"No"]
[212,188,{"$nulls":5},"S1",283,188,"No"]
[220,189,{"$nulls":5},"S1",345,189,"No"]
[313,190,{"$nulls":5},"S1",801,190,"No"]
[662,191,{"$nulls":5},"S1",877,191,"No"]
[647,192,{"$nulls":5},"S1",657,192,"No"]
[812,193,{"$nulls":5},"S1",317,193,"No"]
[554,194,{"$nulls":5},"S1",455,194,"No"]
[537,195,{"$nulls":5},"S1",327,195,"No"]
[86,196,{"$nulls":5},"S1",804,196,"No"]
[625,197,{"$nulls":5},"S1",466,197,"No"]
[918,198,{"$nulls":5},"S1",943,198,"No"]
[652,199,{"$nulls":5},"S1",542,199,"No"]
[836,200,{"$nulls":5},"S1",228,200,"No"]
[857,201,{"$nulls":5},"S1",334,201,"No"]
[227,202,{"$nulls":5},"S1",829,202,"No"]
[248,203,{"$nulls":5},"S1",574,203,"No"]
[729,204,{"$nulls":5},"S1",365,204,"No"]
[734,205,{"$nulls":5},"S1",854,205,"No"]
[414,206,{"$nulls":5},"S1",644,206,"No"]
[814,207,{"$nulls":5},"S1",295,207,"No"]
[763,208,{"$nulls":5},"S1",309,208,"No"]
[358,209,{"$nulls":5},"S1",654,209,"No"]
[666,210,{"$nulls":5},"S1",636,210,"No"]
[778,211,{"$nulls":5},"S1",15,211,"No"]
[361,212,{"$nulls":5},"S1",188,212,"No"]
[7,213,{"$nulls":5},"S1",665,213,"No"]
[716,214,{"$nulls":5},"S1",681,214,"No"]
[590,215,{"$nulls":5},"S1",52,215,"No"]
[274,216,{"$nulls":5},"S1",339,216,"No"]
[381,217,{"$nulls":5},"S1",218,217,"No"]
[217,218,{"$nulls":5},"S1",233,218,"No"]
[43,219,{"$nulls":5},"S1",82,219,"No"]
[696,220,{"$nulls":5},"S1",189,220,"No"]
[82,221,{"$nulls":5},"S1",672,221,"No"]
[785,222,{"$nulls":5},"S1",519,222,"No"]
[3,223,{"$nulls":5},"S1",869,223,"No"]
[442,224,{"$nulls":5},"S1",843,224,"No"]
[877,225,{"$nulls":5},"S1",165,225,"No"]
[649,226,{"$nulls":5},"S1",288,226,"No"]
[951,227,{"$nulls":5},"S1",202,227,"No"]
[200,228,{"$nulls":5},"S1",299,228,"No"]
[975,229,{"$nulls":5},"S1",120,229,"No"]
[839,230,{"$nulls":5},"S1",502,230,"No"]
[571,231,{"$nulls":5},"S1",945,231,"No"]
[239,232,{"$nulls":5},"S1",841,232,"No"]
[218,233,{"$nulls":5},"S1",968,233,"No"]
[418,234,{"$nulls":5},"S1",35,234,"No"]
[532,235,{"$nulls":5},"S1",938,235,"No"]
[832,236,{"$nulls":5},"S1",831,236,"No"]
[341,237,{"$nulls":5},"S1",17,237,"No"]
[354,238,{"$nulls":5},"S1",577,238,"No"]
[318,239,{"$nulls":5},"S1",232,239,"No"]
[868,240,{"$nulls":5},"S1",513,240,"No"]
[869,241,{"$nulls":5},"S1",175,241,"No"]
[706,242,{"$nulls":5},"S1",734,242,"No"]
[15,243,{"$nulls":5},"S1",661,243,"No"]
[550,244,{"$nulls":5},"S1",745,244,"No"]
[993,245,{"$nulls":5},"S1",65,245,"No"]
[403,246,{"$nulls":5},"S1",772,246,"No"]
[942,247,{"$nulls":5},"S1",630,247,"No"]
[634,248,{"$nulls":5},"S1",203,248,"No"]
[945,249,{"$nulls":5},"S1",483,249,"No"]
[523,250,{"$nulls":5},"S1",508,250,"No"]
[72,251,{"$nulls":5},"S1",354,251,"No"]
[658,252,{"$nulls":5},"S1",426,252,"No"]
[426,253,{"$nulls":5},"S1",626,253,"No"]
[138,254,{"$nulls":5},"S1",359,254,"No"]
[965,255,{"$nulls":5},"S1",18,255,"No"]
[919,256,{"$nulls":5},"S1",762,256,"No"]
[988,257,{"$nulls":5},"S1",867,257,"No"]
[386,258,{"$nulls":5},"S1",605,258,"No"]
[37,259,{"$nulls":5},"S1",282,259,"No"]
[147,260,{"$nulls":5},"S1",874,260,"No"]
[423,261,{"$nulls":5},"S1",416,261,"No"]
[524,262,{"$nulls":5},"S1",528,262,"No"]
[121,263,{"$nulls":5},"S1",807,263,"No"]
[788,264,{"$nulls":5},"S1",13,264,"No"]
[541,265,{"$nulls":5},"S1",922,265,"No"]
[646,266,{"$nulls":5},"S1",649,266,"No"]
[715,267,{"$nulls":5},"S1",395,267,"No"]
[10,268,{"$nulls":5},"S1",152,268,"No"]
[48,269,{"$nulls":5},"S1",161,269,"No"]
[153,270,{"$nulls":5},"S1",794,270,"No"]
[352,271,{"$nulls":5},"S1",774,271,"No"]
[779,272,{"$nulls":5},"S1",369,272,"No"]
[997,273,{"$nulls":5},"S1",755,273,"No"]
[935,274,{"$nulls":5},"S1",216,274,"No"]
[701,275,{"$nulls":5},"S1",955,275,"No"]
[509,276,{"$nulls":5},"S1",440,276,"No"]
[39,277,{"$nulls":5},"S1",768,277,"No"]
[440,278,{"$nulls":5},"S1",11,278,"No"]
[311,279,{"$nulls":5},"S1",635,279,"No"]
[573,280,{"$nulls":5},"S1",628,280,"No"]
[517,281,{"$nulls":5},"S1",720,281,"No"]
[259,282,{"$nulls":5},"S1",737,282,"No"]
[188,283,{"$nulls":5},"S1",866,283,"No"]
[874,284,{"$nulls":5},"S1",913,284,"No"]
[677,285,{"$nulls":5},"S1",939,285,"No"]
[733,286,{"$nulls":5},"S1",417,286,"No"]
[401,287,{"$nulls":5},"S1",378,287,"No"]
[226,288,{"$nulls":5},"S1",491,288,"No"]
[865,289,{"$nulls":5},"S1",167,289,"No"]
[948,290,{"$nulls":5},"S1",341,290,"No"]
[548,291,{"$nulls":5},"S1",775,291,"No"]
[484,292,{"$nulls":5},"S1",8,292,"No"]
[130,293,{"$nulls":5},"S1",370,293,"No"]
[938,294,{"$nulls":5},"S1",610,294,"No"]
[207,295,{"$nulls":5},"S1",642,295,"No"]
[113,296,{"$nulls":5},"S1",142,296,"No"]
[495,297,{"$nulls":5},"S1",993,297,"No"]
[923,298,{"$nulls":5},"S1",482,298,"No"]
[228,299,{"$nulls":5},"S1",875,299,"No"]
[132,300,{"$nulls":5},"S1",957,300,"No"]
[58,301,{"$nulls":5},"S1",49,301,"No"]
[563,302,{"$nulls":5},"S1",331,302,"No"]
[864,303,{"$nulls":5},"S1",534,303,"No"]
[927,304,{"$nulls":5},"S1",951,304,"No"]
[967,305,{"$nulls":5},"S1",177,305,"No"]
[399,306,{"$nulls":5},"S1",451,306,"No"]
[310,307,{"$nulls":5},"S1",131,307,"No"]
[557,308,{"$nulls":5},"S1",556,308,"No"]
[208,309,{"$nulls":5},"S1",386,309,"No"]
[761,310,{"$nulls":5},"S1",307,310,"No"]
[144,311,{"$nulls":5},"S1",279,311,"No"]
[542,312,{"$nulls":5},"S1",438,312,"No"]
[549,313,{"$nulls":5},"S1",190,313,"No"]
[626,314,{"$nulls":5},"S1",764,314,"No"]
[60,315,{"$nulls":5},"S1",981,315,"No"]
[855,316,{"$nulls":5},"S1",445,316,"No"]
[193,317,{"$nulls":5},"S1",564,317,"No"]
[592,318,{"$nulls":5},"S1",239,318,"No"]
[22,319,{"$nulls":5},"S1",987,319,"No"]
[44,320,{"$nulls":5},"S1",878,320,"No"]
[420,321,{"$nulls":5},"S1",832,321,"No"]
[351,322,{"$nulls":5},"S1",3,322,"No"]
[591,323,{"$nulls":5},"S1",57,323,"No"]
[780,324,{"$nulls":5},"S1",826,324,"No"]
[718,325,{"$nulls":5},"S1",659,325,"No"]
[930,326,{"$nulls":5},"S1",182,326,"No"]
[195,327,{"$nulls":5},"S1",956,327,"No"]
[859,328,{"$nulls":5},"S1",487,328,"No"]
[819,329,{"$nulls":5},"S1",759,329,"No"]
[724,330,{"$nulls":5},"S1",541,330,"No"]
[302,331,{"$nulls":5},"S1",164,331,"No"]
[753,332,{"$nulls":5},"S1",544,332,"No"]
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[]
[{"$nulls":23},"Sample Claims","Sample Dollars",{"$nulls":3},"Allowed Claims","Error Claims",null,"Allowed Dollars","Error Dollars","Examined Value","Audited Value","Difference Value","Error \nRate"]
[{"$nulls":23},100,{"v":10081.369455673605,"d":"$10,081.37"},{"$nulls":3},41,59,null,{"v":4100.480319041937,"d":"$4,100.48"},{"v":5980.889136631669,"d":"$5,980.89"},{"v":10081.369455673605,"d":"$10,081.37"},{"v":4100.480319041937,"d":"$4,100.48"},{"v":5980.889136631669,"d":"$5,980.89"},{"v":0.5932615765079156,"d":"59.33%"}]
[]
[{"$nulls":26},"Simulated errors using =round(rand(),0). Example provided is of an All-or-Nothing review where errors are recovered at 100% (i.e., no partial credit given)."]

{"sheet":"Extrapolation","index":5,"n_rows":111,"n_cols":1,"rows_kept":111,"flags":["formulas_cached_only"]}
["                              Windows RAT-STATS"]
["                             Statistical Software"]
["Date:           Unrestricted Variable Appraisal                  Time: "]
["                             AUDIT/REVIEW: Example"]
[]
["DATA FILE USED: Provider Copy EAD.xlsx"]
["SAMPLE SIZE       SUM OF EXAMINED VALUES        NONZERO ITEMS        SUM OF AUDITED VALUES    SUM OF DIFFERENCE VALUES"]
["        100                    10,081.37                   59                     4,100.48                    5,980.89"]
["           ----------------------- E X A M I N E D ------------------------"]
["           MEAN / FRAME                      100.81             1,000"]
["           STANDARD DEVIATION                     9.29"]
["           SKEWNESS                              -0.02"]
["           KURTOSIS                               2.42"]
["           STANDARD ERROR (MEAN)                  0.88             "]
["           STANDARD ERROR (TOTAL)                  881"]
["           POINT ESTIMATE                      100,814"]
[]
["                                        STANDARD RAT-STATS CONFIDENCE INTERVAL"]
["                                       80% CONFIDENCE LEVEL"]
["           LOWER LIMIT                           99,677"]
["           UPPER LIMIT                          101,951"]
["           PRECISION AMOUNT                       1,137"]
["           PRECISION PERCENT                       1.13%"]
["           T-VALUE USED                1.29016144203448"]
[]
["                                       90% CONFIDENCE LEVEL"]
["           LOWER LIMIT                           99,351"]
["           UPPER LIMIT                          102,277"]
["           PRECISION AMOUNT                       1,463"]
["           PRECISION PERCENT                       1.45%"]
["           T-VALUE USED                1.66039115601698"]
[]
["                                       95% CONFIDENCE LEVEL"]
["           LOWER LIMIT                           99,065"]
["           UPPER LIMIT                          102,562"]
["           PRECISION AMOUNT                       1,748"]
["           PRECISION PERCENT                       1.73%"]
["           T-VALUE USED                 1.9842169515864"]
[]
["           ----------------------- A U D I T E D ------------------------"]
["           MEAN / FRAME                       41.00             1,000"]
["           STANDARD DEVIATION                    49.87"]
["           SKEWNESS                               0.42"]
["           KURTOSIS                               1.24"]
["           STANDARD ERROR (MEAN)                  4.73             "]
["           STANDARD ERROR (TOTAL)                4,731"]
["           POINT ESTIMATE                       41,005"]
[]
["                                        STANDARD RAT-STATS CONFIDENCE INTERVAL"]
["                                       80% CONFIDENCE LEVEL"]
["           LOWER LIMIT                           34,901"]
["           UPPER LIMIT                           47,109"]
["           PRECISION AMOUNT                       6,104"]
["           PRECISION PERCENT                      14.89%"]
["           T-VALUE USED                1.29016144203448"]
[]
["                                       90% CONFIDENCE LEVEL"]
["           LOWER LIMIT                           33,149"]
["           UPPER LIMIT                           48,860"]
["           PRECISION AMOUNT                       7,855"]
["           PRECISION PERCENT                      19.16%"]
["           T-VALUE USED                1.66039115601698"]
[]
["                                       95% CONFIDENCE LEVEL"]
["           LOWER LIMIT                           31,617"]
["           UPPER LIMIT                           50,392"]
["           PRECISION AMOUNT                       9,388"]
["           PRECISION PERCENT                      22.89%"]
["           T-VALUE USED                 1.9842169515864"]
[]
[]
["           ----------------------- D I F F E R E N C E ------------------------"]
["           MEAN / FRAME                       59.81             1,000"]
["           STANDARD DEVIATION                    50.53"]
["           SKEWNESS                              -0.31"]
["           KURTOSIS                               1.17"]
["           STANDARD ERROR (MEAN)                  4.79             "]
["           STANDARD ERROR (TOTAL)                4,794"]
["           POINT ESTIMATE                       59,809"]
[]
["                                        STANDARD RAT-STATS CONFIDENCE INTERVAL"]
["                                       80% CONFIDENCE LEVEL"]
["           LOWER LIMIT                           53,624"]
["           UPPER LIMIT                           65,994"]
["           PRECISION AMOUNT                       6,185"]
["           PRECISION PERCENT                      10.34%"]
["           T-VALUE USED                1.29016144203448"]
[]
["                                       90% CONFIDENCE LEVEL"]
["           LOWER LIMIT                           51,849"]
["           UPPER LIMIT                           67,769"]
["           PRECISION AMOUNT                       7,960"]
["           PRECISION PERCENT                      13.31%"]
["           T-VALUE USED                1.66039115601698"]
[]
["                                       95% CONFIDENCE LEVEL"]
["           LOWER LIMIT                           50,296"]
["           UPPER LIMIT                           69,321"]
["           PRECISION AMOUNT                       9,512"]
["           PRECISION PERCENT                      15.90%"]
["           T-VALUE USED                 1.9842169515864"]
[]
["                          ALTERNATIVE CONFIDENCE INTERVAL CALCULATED USING THE EMPIRICAL LIKELIHOOD APPROACH"]
["                                      80.00% CONFIDENCE LEVEL"]
["           LOWER LIMIT                        53,303.39"]
["           UPPER LIMIT                        66,142.41"]
["           POINT ESTIMATE                     59,808.89"]
["           TARGET CHI-SQUARE(LL)                   1.642374"]
["           OBTAINED CHI-SQUARE(LL)                 1.642376"]
["           TARGET CHI-SQUARE(UL)                   1.642374"]
["           OBTAINED CHI-SQUARE(UL)                 1.642388"]