Challenge A2: You want to examine if the household income of your patients is associated with an increased or a decreased amount of hospital charges (DRG price).

Challenge B1:Practice and policy differences observed in different sites may or may not reflect differences to the average length of stay. Using your data, you want to learn in the length of stay is different in a statistically significant way between your hospital sites.

1. What is the appropriate statistic, to respond to the challenges above?
2. Are the assumptions met with both challenges?

SPSS Statistics File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Garo Bag. Thu Dec 8 2:03 PM Untitled5 [DataSet4] - IBM SPSS Statistics Data Editor A + 52 Visible: 7 of 7 Variables patient_id hostpial_sit primary_ lengh_of_sta DRG_price household_i filter_$ DX var var ncome var var var var var var var 27 52 Dallas asthma 9000 80000 IN 28 60 Fort-Worth asthma 11000 120000 N N 29 63 Fort-Worth asthma 9000 50000 30 68 Dallas asthma 2 14000 50000 31 79 Fort-Worth asthma 2/ 12000 30000 32 87 Fort-Worth asthma 10000 40000 33 92 Dallas asthma 9000 10000 O 34 95 Dallas asthma 7000 40000 35 100 Dallas asthma 13000 10000 W W W N N N 36 4 Dallas pneumonia 12000 50000 37 7 Dallas pneumonia 12000 30000 38 15 Dallas pneumonia 17000 80000 39 21 Fort-Worth pneumonia 14000 120000 HOHOHOHOOHHH W W 40 31 Fort-Worth pneumonia 12000 80000 41 37 Fort-Worth pneumonia 15000 120000 42 51 Dallas pneumonia 12000 80000 43 58 Dallas pneumonia 17000 80000 44 64 Fort-Worth pneumonia 9000 120000 45 66 Fort-Worth pneumonia 8000 80000 46 76 Dallas pneumonia 12000 120000 47 90 Fort-Worth pneumonia 13000 50000 H HH 48 99 Dallas pneumonia 19000 50000 49 28 Fort-Worth COPD 17000 30000 50 70 Fort-Worth COPD 1000 40000 51 83 Dallas COPD 3 8000 10000 94 Fort-Worth COPD w 52 8000 40000 Data View Variable View IBM SPSS Statistics Processor is ready . Unicode:ON Classic tv 4SPSS Statistics File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Gar of ag. Thu Dec 8 2:04 PM Untitled5 [DataSet4] - IBM SPSS Statistics Data Editor A + 17 : DRG_price 10000 Visible: 7 of 7 Variables patient_id hostpial_sit primary_ lengh_of_sta DRG_price household_i filter_$ DX var var var var var ncome var var var var 53 3 Fort-Worth |asthma 15000 10000 54 20 Fort-Worth asthma 3 17000 50000 55 25 Dallas asthma w 16000 30000 56 30 Dallas asthma 13000 80000 w w 57 46 Dallas asthma 11000 120000 58 57 Dallas asthma 3 7000 59 67 Fort-Worth asthma w 19000 80000 60 81 Dallas asthma 17000 120000 61 93 Fort-Worth asthma 11000 80000 A AW W 62 14 Fort-Worth pneumonia 23000 120000 63 27 Fort-Worth pneumonia 19000 50000 64 39 Fort-Worth pneumonia A 18000 50000 65 48 Fort-Worth pneumonia 28000 30000 A A 66 65 Fort-Worth pneumonia 22000 40000 67 80 Dallas pneumonia A 23000 10000 68 86 Dallas pneumonia A 21000 50000 69 98 Fort-Worth pneumonia 17000 30000 70 16 Fort-Worth COPD 14000 80000 71 42 Fort-Worth COPD 20000 120000 A A 72 69 Dallas COPD 18000 50000 73 78 Dallas COPD A 17000 50000 74 91 Dallas COPD A 24000 30000 75 96 Dallas COPD A 23000 40000 76 22 Dallas asthma 21000 10000 77 24 Fort-Worth pneumonia 5 27000 50000 78 44 Fort-Worth pneumonia UT 23000 10000 Data View Variable View IBM SPSS Statistics Processor is ready . Unicode:ON Classic tv 4SPSS Statistics File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Gar of ag. Thu Dec 8 2:04 PM Untitled5 [DataSet4] - IBM SPSS Statistics Data Editor A + 59 : household_income 80000 Visible: 7 of 7 Variables patient_id hostpial_sit primary_ lengh_of_sta DRG_price household_i filter_$ DX var var var var var var var var var y ncome 79 55 Dallas pneumonia 21000 40000 80 82 Fort-Worth pneumonia 20000 10000 81 97 Fort-Worth pneumonia 29000 50000 82 11 Dallas COPD 21000 30000 83 19 Dallas COPD 24000 80000 84 34 Fort-Worth COPD 23000 120000 85 43 Dallas COPD 22000 80000 86 49 Dallas COPD 31000 80000 37 50 Dallas COPD 14000 120000 OOH - - 88 62 Dallas COPD 12000 80000 89 73 Fort-Worth COPD 17000 120000 90 77 Dallas COPD 14000 50000 91 88 Dallas COPD 26000 50000 92 54 Fort-Worth pneumonia 26000 30000 93 1 Dallas COPD 6 29000 80000 94 17 Dallas COPD 6 21000 120000 95 23 Dallas COPD 6 31000 30000 96 35 Fort-Worth COPD 25000 80000 97 85 Dallas COPD 30000 120000 98 10 Fort-Worth COPD 28000 80000 99 36 Fort-Worth COPD 39000 80000 100 61 Fort-Worth COPD 8 28000 120000 101 102 103 104 Data View Variable View IBM SPSS Statistics Processor is ready . Unicode:ON Classic 4 ESPSS Statistics File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Gar of ag. Thu Dec 8 2:04 PM . . Untitled5 [DataSet4] - IBM SPSS Statistics Data Editor A + 52 Visible: 7 of 7 Variables patient_id hostpial_sit primary_ lengh_of_sta DRG_price household_i filter_$ e DX var var var var var ncome var var var var 13 Fort-Worth asthma 1 11000 90000 26 Fort-Worth asthma 7000 70000 H 40 Dallas asthma 6000 40000 A W 53 Dallas asthma 10000 74 Fort-Worth asthma 7000 50000 75 Dallas asthma 5000 30000 89 Fort-Worth asthma 5000 30000 5 Fort-Worth pneumonia 9000 120000 41 Dallas pneumonia 8000 50000 10 59 Dallas pneumonia 11000 50000 11 72 Fort-Worth pneumonia 10000 30000 12 84 Fort-Worth pneumonia 9000 80000 NN NN NN NN NN NH 13 56 Fort-Worth COPD 4000 120000 H HH 14 71 Dallas COPD 6000 80000 15 2 Dallas asthma 8000 120000 16 6 Fort-Worth asthma 12000 50000 17 Fort-Worth asthma 10000 50000 18 9 Dallas asthma 5000 30000 19 12 Fort-Worth asthma 6000 40000 O 20 18 Dallas asthma 4000 10000 21 29 Dallas asthma 15000 50000 H O 22 32 Dallas asthma 12000 30000 NN NN NN NN 23 33 Dallas asthma 9000 80000 24 38 Dallas asthma 10000 120000 25 45 Dallas asthma 7000 80000 26 47 Dallas asthma 600 120000 Data View Variable View IBM SPSS Statistics Processor is ready . Unicode:ON Classic SS tv 4