Part I:Use dietstudy dataset (see eLearning SPSS Practice Datasets) to complete the following questions.

Researchers are interested to investigate whether Gender, Age, and interaction effect (Age Gender) differences on the final weight.

Running SPSS to perform the propriate test and generate the results. (Please recode "Age" into 2 categories: 45-55, and 56 and above in SPSS dataset).

1. Check assumptions write the summary and include related tables and graphs if needed.

• Normality
• Levene's Tests

6) Write down the statistical conclusion

• Interaction
• Main Effect A
• Main Effect B

8) Write down the practical conclusion (usually associated with your scientific hypothesis/Alternative hypothesis)

SPSS Statistics File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Q Fri Aug 19 9:48 AM dietstudy (2).sav [DataSet1] - IBM SPSS Statistics Data Editor + Name Type Width Decimals Labe Values Missing Columns Align Measure Role patid Numeric 4 0 Patient ID None None 8 Right Nominal Input age Numeric 4 0 Age in years {1, 45-55)... None Right Scale Input 3 gender Numeric 4 0 Gender [0, Male}... None Right Nominal Input 00 00 4 tg Numeric 4 0 Triglyceride None Non Right Scale Input 5 tg1 Numeric 0 1st interim tri... None None Right Scale Input 6 tg2 Numeric 0 2nd interim tr... None None Right Scale Input 7 tg3 Numeric 0 3rd interim tri... None None 00 Right Scale Input 8 tg4 Numeric Final triglycerinone None Right Scale Input 00 00 9 wato Numeric 4 Weight None None =Right Scale Input 10 wgt. Numeric A 0 1st interim w... None None Right Scale Input 11 wgt2 Numeric 4 O 2nd interim w... None None Right Scale Input 00 00 12 wgt3 Numeric 4 3rd interim w... None None Right Scale Input 13 wgt4 Numeric 4 Final weight None None 8 Right Scale Input 14 15 16 17 18 19 20 21 22 23 24 25 26 27 78 Data View Variable View IBM SPSS Statistics Processor is ready . Unicode:ON Classic AUG 19SPSS Statistics File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Q Fri Aug 19 9:49 AM dietstudy (2).sav [DataSet1] - IBM SPSS Statistics Data Editor A .......... + Q ble: 13 of 13 Variables patid age gender tgo tg1 tg2 tg3 tg4 wgto wgt1 wgt2 wgt3 wgt4 var var var var var 45 0 180 148 106 113 100 198 196 193 188 192 56 94 119 7 92 237 233 232 228 225 O 13 50 152 185 86 149 118 233 231 229 228 226 46 112 145 136 149 82 179 181 177 174 172 64 156 104 157 79 97 219 217 215 213 214 49 167 138 88 107 171 169 166 165 162 161 5 46 0 V O MI A W N 63 138 132 146 143 132 222 219 215 215 210 63 160 128 150 118 123 167 167 166 162 161 52 107 120 129 195 174 199 200 196 196 193 10 45 156 103 126 135 92 233 229 229 229 226 61 144 114 176 173 H OOHH HOOHOH 94 114 121 179 181 173 12 12 49 107 93 156 148 150 158 153 155 155 154 13 13 61 145 107 129 86 159 157 151 150 145 143 59 186 142 128 122 101 216 213 210 210 206 14 14 15 15 52 112 107 103 89 148 257 255 254 252 249 16 16 60 104 103 117 79 130 151 146 144 144 140 17 18 19 20 21 22 23 24 25 26 Data View Variable View IBM SPSS Statistics Processor is ready . Unicode:ON Classic AUG 19 4