9.3.4

A study was conducted that measured the total brain volume (TBV) (in ) of patients that had schizophrenia and patients that are considered normal.Table #9.3.5 contains the TBV of the normal patients and table #9.3.6 contains the TBV of schizophrenia patients ("SOCR data oct2009," 2013).Compute a 90% confidence interval for the difference in TBV of normal patients and patients with Schizophrenia.

9.3.8

The number of cell phones per 100 residents in countries in Europe is given in table #9.3.9 for the year 2010.The number of cell phones per 100 residents in countries of the Americas is given in table #9.3.10 also for the year 2010 ("Population reference bureau," 2013).Find the 98% confidence interval for the different in mean number of cell phones per 100 residents in Europe and the Americas.

Table #9.3.9: Number of Cell Phones per 100 Residents in Europe

100, 76, 100, 130, 75, 84

112, 84, 138, 133, 118, 134

126, 188, 129, 93, 64, 128

124, 122, 109, 121, 127, 152

96, 63, 99, 95, 151, 147

123, 95, 67, 67, 118, 125

110, 115, 140, 115, 141, 77

98, 102, 102, 112, 118, 118

54, 23, 121, 126, 47,

Table #9.3.10: Number of Cell Phones per 100 Residents in the Americas

158, 117, 106, 159, 53, 50

78, 66, 88, 92, 42, 3

150, 72, 86, 113, 50, 58

70, 109, 37, 32, 85, 101

75, 69, 55, 115, 95, 73

86, 157, 100, 119, 81, 113

87, 105, 96,

11.3.2

Levi-Strauss Co manufactures clothing.The quality control department measures weekly values of different suppliers for the percentage difference of waste between the layout on the computer and the actual waste when the clothing is made (called run-up).The data is in table #11.3.3, and there are some negative values because sometimes the supplier is able to layout the pattern better than the computer ("Waste run up," 2013).Do the data show that there is a difference between some of the suppliers?Test at the 1% level.

Table #11.3.3: Run-ups for Different Plants Making Levi Strauss Clothing

Plant 1 Plant 2 Plant 3 Plant 4 Plant 5

1.2, 16.4, 12.1, 11.5, 24

10.1, -6, 9.7, 10.2, -3.7

-2, -11.6, 7.4, 3.8, 8.2

1.5, -1.3, -2.1, 8.3, 9.2

-3, 4, 10.1, 6.6, -9.3

-0.7, 17, 4.7, 10.2, 8

3.2, 3.8, 4.6, 8.8, 15.8

2.7, 4.3, 3.9, 2.7, 22.3

-3.2, 10.4, 3.6, 5.1, 3.1

-1.7, 4.2, 9.6, 11.2, 16.8

2.4, 8.5, 9.8, 5.9, 11.3

0.3, 6.3, 6.5, 13, 12.3

3.5, 9, 5.7, 6.8, 16.9

-0.8, 7.1, 5.1, 14.5

19.4, 4.3, 3.4, 5.2

2.8, 19.7, -0.8, 7.3

13, 3, -3.9, 7.1

42.7, 7.6, 0.9 3.4

1.4, 70.2, 1.5, 0.7

3, 8.5

2.4, 6

1.3, 2.9

Please explain the steps you took to get your conclusion. For better table representation, see the attachment.

9.3.3 3 A study was conducted that measured the total brain volume (TBV) (in mm ) of patients that had schizophrenia and patients that are considered normal. Table #9.3.5 contains the TBV of the normal patients and table #9.3.6 contains the TBV of schizophrenia patients ("SOCR data oct2009," 2013). Is there enough evidence to show that the patients with schizophrenia have less TBV on average than a patient that is considered normal? Test at the 10% level. 3 Table #9.3.5: Total Brain Volume (in mm ) of Normal Patients 1663407 1583940 1299470 1535137 1431890 1453510 1650348 1288971 1366346 1326402 1474790 1317156 1441045 1463498 1650207 1441636 1432033 1420416 1480171 1360810 1574808 1502702 1203344 1319737 1688990 1512571 1635918 1578698 1503005 1523045 1410213 1292641 3 Table #9.3.6: Total Brain Volume (in mm ) of Schizophrenia Patients 1331777 1487886 1066075 1297327 1499983 1368378 1476891 1443775 1337827 1658258 1690182 1569413 1177002 1387893 1483763 1563593 1317885 1420249 1363859 1238979 1325525 1588573 1476254 1648209 1354054 1636119 1861991 1588132 1688950 1286638 1354649 9.3.4 3 A study was conducted that measured the total brain volume (TBV) (in mm ) of patients that had schizophrenia and patients that are considered normal. Table #9.3.5 contains the TBV of the normal patients and table #9.3.6 contains the TBV of schizophrenia patients ("SOCR data oct2009," 2013). Compute a 90% confidence interval for the difference in TBV of normal patients and patients with Schizophrenia. 9.3.8 The number of cell phones per 100 residents in countries in Europe is given in table #9.3.9 for the year 2010. The number of cell phones per 100 residents in countries of the Americas is given in table #9.3.10 also for the year 2010 ("Population reference bureau," 2013). Find the 98% confidence interval for the different in mean number of cell phones per 100 residents in Europe and the Americas. Table #9.3.9: Number of Cell Phones per 100 Residents in Europe 100 76 100 130 75 84 112 84 138 133 118 134 126 188 129 93 64 128 124 122 109 121 127 152 96 63 99 95 151 147 123 95 67 67 118 125 110 115 140 115 141 77 98 102 102 112 118 118 54 23 121 126 47 Table #9.3.10: Number of Cell Phones per 100 Residents in the Americas 158 117 106 159 53 50 78 66 88 92 42 3 150 72 86 113 50 58 70 109 37 32 85 101 75 69 55 115 95 73 86 157 100 119 81 113 87 105 96 11.3.2 Levi-Strauss Co manufactures clothing. The quality control department measures weekly values of different suppliers for the percentage difference of waste between the layout on the computer and the actual waste when the clothing is made (called run-up). The data is in table #11.3.3, and there are some negative values because sometimes the supplier is able to layout the pattern better than the computer ("Waste run up," 2013). Do the data show that there is a difference between some of the suppliers? Test at the 1% level. Table #11.3.3: Run-ups for Different Plants Making Levi Strauss Clothing Plant 1 1.2 10.1 -2 1.5 -3 -0.7 3.2 2.7 -3.2 -1.7 2.4 0.3 3.5 -0.8 19.4 2.8 13 42.7 1.4 3 2.4 1.3 Plant 2 16.4 -6 -11.6 -1.3 4 17 3.8 4.3 10.4 4.2 8.5 6.3 9 7.1 4.3 19.7 3 7.6 70.2 8.5 6 2.9 Plant 3 12.1 9.7 7.4 -2.1 10.1 4.7 4.6 3.9 3.6 9.6 9.8 6.5 5.7 5.1 3.4 -0.8 -3.9 0.9 1.5 Plant 4 11.5 10.2 3.8 8.3 6.6 10.2 8.8 2.7 5.1 11.2 5.9 13 6.8 14.5 5.2 7.3 7.1 3.4 0.7 Plant 5 24 -3.7 8.2 9.2 -9.3 8 15.8 22.3 3.1 16.8 11.3 12.3 16.9 11.3.4 A study was undertaken to see how accurate food labeling for calories on food that is considered reduced calorie. The group measured the amount of calories for each item of food and then found the ( measured - labeled ) *100% labeled . The group also percent difference between measured and labeled food, looked at food that was nationally advertised, regionally distributed, or locally prepared. The data is in table #11.3.5 ("Calories datafile," 2013). Do the data indicate that at least two of the mean percent differences between the three groups are different? Test at the 10% level. Table #11.3.5: Percent Differences Between Measured and Labeled Food National Advertised 2 -28 -6 8 6 -1 10 13 15 -4 -4 -18 10 5 3 -7 3 -0.5 -10 6 Regionally Distributed 41 46 2 25 39 16.5 17 28 -3 14 34 42 Locally Prepared 15 60 250 145 6 80 95 3