Descriptive Statistics
## vars n mean sd median trimmed
## HNDid 1 665 8.168838e+09 35840566.31 8171936701.0 8.170525e+09
## Race* 2 665 1.500000e+00 0.50 2.0 1.500000e+00
## Sex* 3 665 1.480000e+00 0.50 1.0 1.470000e+00
## PovStat* 4 665 1.310000e+00 0.46 1.0 1.270000e+00
## Age 5 665 4.658000e+01 9.19 46.5 4.646000e+01
## Education* 6 641 1.302000e+01 3.27 12.0 1.288000e+01
## Educnum 7 641 1.266000e+01 2.72 12.0 1.265000e+01
## PovStat.1* 8 665 1.310000e+00 0.46 1.0 1.270000e+00
## WRATtotal 9 665 4.371000e+01 7.60 45.0 4.441000e+01
## PsychAggress* 10 665 1.860000e+00 0.34 2.0 1.950000e+00
## PhysAssault* 11 665 1.120000e+00 0.33 1.0 1.030000e+00
## ACEtotal 12 531 4.530000e+00 2.04 4.0 4.380000e+00
## HeadInjury* 13 665 1.120000e+00 0.33 1.0 1.030000e+00
## Alcohol* 14 573 1.950000e+00 0.22 2.0 2.000000e+00
## Cocaine* 15 534 1.310000e+00 0.46 1.0 1.270000e+00
## Cannabis* 16 557 1.660000e+00 0.47 2.0 1.700000e+00
## Opiate* 17 534 1.160000e+00 0.37 1.0 1.080000e+00
## PTSDtotal 18 665 2.595000e+01 11.50 22.0 2.349000e+01
## mad min max range skew kurtosis
## HNDid 30517543.36 8031117902.0 8224304901.0 193186999.0 -0.83 1.89
## Race* 0.00 1.0 2.0 1.0 -0.01 -2.00
## Sex* 0.00 1.0 2.0 1.0 0.09 -2.00
## PovStat* 0.00 1.0 2.0 1.0 0.81 -1.35
## Age 10.97 30.1 65.9 35.8 0.07 -1.00
## Education* 1.48 1.0 21.0 20.0 0.40 0.56
## Educnum 1.48 1.0 20.0 19.0 -0.05 1.37
## PovStat.1* 0.00 1.0 2.0 1.0 0.81 -1.35
## WRATtotal 7.41 10.0 57.0 47.0 -0.91 0.85
## PsychAggress* 0.00 1.0 2.0 1.0 -2.13 2.53
## PhysAssault* 0.00 1.0 2.0 1.0 2.31 3.33
## ACEtotal 1.48 0.0 10.0 10.0 0.52 -0.55
## HeadInjury* 0.00 1.0 2.0 1.0 2.31 3.33
## Alcohol* 0.00 1.0 2.0 1.0 -4.01 14.10
## Cocaine* 0.00 1.0 2.0 1.0 0.80 -1.37
## Cannabis* 0.00 1.0 2.0 1.0 -0.69 -1.52
## Opiate* 0.00 1.0 2.0 1.0 1.84 1.38
## PTSDtotal 5.93 17.0 83.0 66.0 2.02 4.06
## se
## HNDid 1389837.55
## Race* 0.02
## Sex* 0.02
## PovStat* 0.02
## Age 0.36
## Education* 0.13
## Educnum 0.11
## PovStat.1* 0.02
## WRATtotal 0.29
## PsychAggress* 0.01
## PhysAssault* 0.01
## ACEtotal 0.09
## HeadInjury* 0.01
## Alcohol* 0.01
## Cocaine* 0.02
## Cannabis* 0.02
## Opiate* 0.02
## PTSDtotal 0.45
## HNDid Race Sex PovStat Age
## Min. :8.031e+09 White:331 Women:347 Above:457 Min. :30.10
## 1st Qu.:8.152e+09 AfrAm:334 Men :318 Below:208 1st Qu.:39.00
## Median :8.172e+09 Median :46.50
## Mean :8.169e+09 Mean :46.58
## 3rd Qu.:8.193e+09 3rd Qu.:53.80
## Max. :8.224e+09 Max. :65.90
##
## Education Educnum PovStat.1 WRATtotal
## HS graduate/GED :213 Min. : 1.00 Above:457 Min. :10.00
## 11th grade : 70 1st Qu.:11.00 Below:208 1st Qu.:39.00
## 2 years college, no degree: 61 Median :12.00 Median :45.00
## 1 year college : 52 Mean :12.66 Mean :43.71
## Bachelor's degree : 52 3rd Qu.:14.00 3rd Qu.:49.00
## (Other) :193 Max. :20.00 Max. :57.00
## NA's : 24 NA's :24
## PsychAggress PhysAssault ACEtotal HeadInjury Alcohol Cocaine
## No : 90 No :584 Min. : 0.000 No :584 No : 30 No :366
## Yes:575 Yes: 81 1st Qu.: 3.000 Yes: 81 Yes :543 Yes :168
## Median : 4.000 NA's: 92 NA's:131
## Mean : 4.529
## 3rd Qu.: 6.000
## Max. :10.000
## NA's :134
## Cannabis Opiate PTSDtotal
## No :187 No :448 Min. :17.00
## Yes :370 Yes : 86 1st Qu.:18.00
## NA's:108 NA's:131 Median :22.00
## Mean :25.95
## 3rd Qu.:29.00
## Max. :83.00
##
t.test for PTSDtotal
#Psychological Aggression
t.test(PTSDtotal~PsychAggress,data=newdata)
##
## Welch Two Sample t-test
##
## data: PTSDtotal by PsychAggress
## t = -5.6605, df = 195.8, p-value = 5.31e-08
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -6.536960 -3.158885
## sample estimates:
## mean in group No mean in group Yes
## 21.75556 26.60348
#Physical Assault
t.test(PTSDtotal~PhysAssault,data=newdata)
##
## Welch Two Sample t-test
##
## data: PTSDtotal by PhysAssault
## t = -3.6509, df = 91.799, p-value = 0.0004342
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -9.686525 -2.860617
## sample estimates:
## mean in group No mean in group Yes
## 25.18322 31.45679
t.test for Age
#Psychological Aggression
t.test(Age~PsychAggress,data=newdata)
##
## Welch Two Sample t-test
##
## data: Age by PsychAggress
## t = 2.2126, df = 113.32, p-value = 0.02893
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.2572669 4.6604143
## sample estimates:
## mean in group No mean in group Yes
## 48.70667 46.24783
#Physical Assault
t.test(Age~PhysAssault,data=newdata)
##
## Welch Two Sample t-test
##
## data: Age by PhysAssault
## t = 3.2316, df = 110.08, p-value = 0.001624
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 1.238724 5.166912
## sample estimates:
## mean in group No mean in group Yes
## 46.97072 43.76790
t.test for Years of Education
#Psychological Aggression
t.test(Educnum~PsychAggress,data=newdata)
##
## Welch Two Sample t-test
##
## data: Educnum by PsychAggress
## t = -0.98991, df = 110.33, p-value = 0.3244
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.9683675 0.3231967
## sample estimates:
## mean in group No mean in group Yes
## 12.38372 12.70631
#Physical Assault
t.test(Educnum~PhysAssault,data=newdata)
##
## Welch Two Sample t-test
##
## data: Educnum by PhysAssault
## t = -0.67531, df = 97.074, p-value = 0.5011
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.9540171 0.4696143
## sample estimates:
## mean in group No mean in group Yes
## 12.6328 12.8750
t.test for Total Number of Adverse Childhood Experiences (ACES)
#Psychological Aggression
t.test(ACEtotal~PsychAggress,data=newdata)
##
## Welch Two Sample t-test
##
## data: ACEtotal by PsychAggress
## t = -2.0151, df = 86.125, p-value = 0.04701
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.978091844 -0.006645641
## sample estimates:
## mean in group No mean in group Yes
## 4.095238 4.587607
#Physical Assault
t.test(ACEtotal~PhysAssault,data=newdata)
##
## Welch Two Sample t-test
##
## data: ACEtotal by PhysAssault
## t = -2.8446, df = 85.889, p-value = 0.005557
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -1.3184345 -0.2337189
## sample estimates:
## mean in group No mean in group Yes
## 4.429806 5.205882
t.test for Total Score on WRAT
#Psychological Aggression
t.test(WRATtotal~PsychAggress,data=newdata)
##
## Welch Two Sample t-test
##
## data: WRATtotal by PsychAggress
## t = -1.5385, df = 113.45, p-value = 0.1267
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -3.2341501 0.4067105
## sample estimates:
## mean in group No mean in group Yes
## 42.48889 43.90261
#Physical Assault
t.test(WRATtotal~PhysAssault,data=newdata)
##
## Welch Two Sample t-test
##
## data: WRATtotal by PhysAssault
## t = -0.67911, df = 100.89, p-value = 0.4986
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -2.501830 1.225744
## sample estimates:
## mean in group No mean in group Yes
## 43.63356 44.27160
Chi-Square Test of Independence for Sex
#Psychological Aggression
tbl = table(newdata$PsychAggress, newdata$Sex)
print(tbl)
##
## Women Men
## No 38 52
## Yes 309 266
chisq.test(tbl)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: tbl
## X-squared = 3.688, df = 1, p-value = 0.05481
#Physical Assault
tbl = table(newdata$PhysAssault, newdata$Sex)
print(tbl)
##
## Women Men
## No 301 283
## Yes 46 35
chisq.test(tbl)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: tbl
## X-squared = 0.58918, df = 1, p-value = 0.4427
Chi-Square Test of Independence for Race
#Psychological Aggression
tbl = table(newdata$PsychAggress, newdata$Race)
print(tbl)
##
## White AfrAm
## No 39 51
## Yes 292 283
chisq.test(tbl)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: tbl
## X-squared = 1.4422, df = 1, p-value = 0.2298
#Physical Assault
tbl = table(newdata$PhysAssault, newdata$Race)
print(tbl)
##
## White AfrAm
## No 290 294
## Yes 41 40
chisq.test(tbl)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: tbl
## X-squared = 0.0018772, df = 1, p-value = 0.9654
Chi-Square Test of Independence for Head Injury
#Psychological Aggression
tbl = table(newdata$PsychAggress, newdata$HeadInjury)
print(tbl)
##
## No Yes
## No 81 9
## Yes 503 72
chisq.test(tbl)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: tbl
## X-squared = 0.25692, df = 1, p-value = 0.6122
#Physical Assault
tbl = table(newdata$PhysAssault, newdata$HeadInjury)
print(tbl)
##
## No Yes
## No 512 72
## Yes 72 9
chisq.test(tbl)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: tbl
## X-squared = 0.017621, df = 1, p-value = 0.8944
Chi-Square Test of Independence for Poverty Status
#Psychological Aggression
tbl = table(newdata$PsychAggress, newdata$PovStat)
print(tbl)
##
## Above Below
## No 65 25
## Yes 392 183
chisq.test(tbl)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: tbl
## X-squared = 0.41994, df = 1, p-value = 0.517
#Physical Assault
tbl = table(newdata$PhysAssault, newdata$PovStat)
print(tbl)
##
## Above Below
## No 410 174
## Yes 47 34
chisq.test(tbl)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: tbl
## X-squared = 4.3598, df = 1, p-value = 0.0368
Chi-Square Test of Independence for Cocaine Use
#Psychological Aggression
tbl = table(newdata$PsychAggress, newdata$Cocaine)
print(tbl)
##
## No Yes
## No 55 21
## Yes 311 147
chisq.test(tbl)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: tbl
## X-squared = 0.41327, df = 1, p-value = 0.5203
#Physical Assault
tbl = table(newdata$PhysAssault, newdata$Cocaine)
print(tbl)
##
## No Yes
## No 332 141
## Yes 34 27
chisq.test(tbl)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: tbl
## X-squared = 4.5852, df = 1, p-value = 0.03225
Chi-Square Test of Independence for Cannabis Use
#Psychological Aggression
tbl = table(newdata$PsychAggress, newdata$Cannabis)
print(tbl)
##
## No Yes
## No 34 46
## Yes 153 324
chisq.test(tbl)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: tbl
## X-squared = 2.8873, df = 1, p-value = 0.08928
#Physical Assault
tbl = table(newdata$PhysAssault, newdata$Cannabis)
print(tbl)
##
## No Yes
## No 178 312
## Yes 9 58
chisq.test(tbl)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: tbl
## X-squared = 12.845, df = 1, p-value = 0.0003385
Chi-Square Test of Independence for Alcohol Use
#Psychological Aggression
tbl = table(newdata$PsychAggress, newdata$Alcohol)
print(tbl)
##
## No Yes
## No 6 74
## Yes 24 469
chisq.test(tbl)
## Warning in chisq.test(tbl): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: tbl
## X-squared = 0.50368, df = 1, p-value = 0.4779
#Physical Assault
tbl = table(newdata$PhysAssault, newdata$Alcohol)
print(tbl)
##
## No Yes
## No 30 477
## Yes 0 66
chisq.test(tbl)
## Warning in chisq.test(tbl): Chi-squared approximation may be incorrect
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: tbl
## X-squared = 3.0148, df = 1, p-value = 0.08251
Chi-Square Test of Independence for Opiate Use
#Psychological Aggression
tbl = table(newdata$PsychAggress, newdata$Opiate)
print(tbl)
##
## No Yes
## No 67 10
## Yes 381 76
chisq.test(tbl)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: tbl
## X-squared = 0.40578, df = 1, p-value = 0.5241
#Physical Assault
tbl = table(newdata$PhysAssault, newdata$Opiate)
print(tbl)
##
## No Yes
## No 397 77
## Yes 51 9
chisq.test(tbl)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: tbl
## X-squared = 0.0036887, df = 1, p-value = 0.9516
t.tests for Cognitive Tests
t.test for Trail Making Test Part A
#Psychological Aggression
t.test(TrailsA~PsychAggress,data=Alldat)
##
## Welch Two Sample t-test
##
## data: TrailsA by PsychAggress
## t = 1.7409, df = 92.151, p-value = 0.08504
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -1.37693 20.93046
## sample estimates:
## mean in group No mean in group Yes
## 43.84884 34.07207
#Physical Assault
t.test(TrailsA~PhysAssault,data=Alldat)
##
## Welch Two Sample t-test
##
## data: TrailsA by PhysAssault
## t = 2.5396, df = 294.99, p-value = 0.01161
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 1.095089 8.637086
## sample estimates:
## mean in group No mean in group Yes
## 35.99109 31.12500
t.test for TrailsB
#Psychological Aggression
t.test(TrailsB~PsychAggress,data=Alldat)
##
## Welch Two Sample t-test
##
## data: TrailsB by PsychAggress
## t = 1.4122, df = 112.82, p-value = 0.1606
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -4.856978 28.967475
## sample estimates:
## mean in group No mean in group Yes
## 118.7093 106.6541
#Physical Assault
t.test(TrailsB~PhysAssault,data=Alldat)
##
## Welch Two Sample t-test
##
## data: TrailsB by PhysAssault
## t = 0.79939, df = 102.26, p-value = 0.4259
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -10.50810 24.69682
## sample estimates:
## mean in group No mean in group Yes
## 109.1569 102.0625
t.test for DigitSpanFwd
#Psychological Aggression
t.test(DigitSpanFwd~PsychAggress,data=Alldat)
##
## Welch Two Sample t-test
##
## data: DigitSpanFwd by PsychAggress
## t = -2.1319, df = 128.31, p-value = 0.03492
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.94087170 -0.03507635
## sample estimates:
## mean in group No mean in group Yes
## 7.081395 7.569369
#Physical Assault
t.test(DigitSpanFwd~PhysAssault,data=Alldat)
##
## Welch Two Sample t-test
##
## data: DigitSpanFwd by PhysAssault
## t = -0.41729, df = 105.94, p-value = 0.6773
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.6314972 0.4118894
## sample estimates:
## mean in group No mean in group Yes
## 7.490196 7.600000
t.test for DigitSpanBck
#Psychological Aggression
t.test(DigitSpanBck~PsychAggress,data=Alldat)
##
## Welch Two Sample t-test
##
## data: DigitSpanBck by PsychAggress
## t = -1.4028, df = 126.05, p-value = 0.1631
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.7706488 0.1313025
## sample estimates:
## mean in group No mean in group Yes
## 5.604651 5.924324
#Physical Assault
t.test(DigitSpanBck~PhysAssault,data=Alldat)
##
## Welch Two Sample t-test
##
## data: DigitSpanBck by PhysAssault
## t = -1.2479, df = 97.823, p-value = 0.2151
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.9428624 0.2148766
## sample estimates:
## mean in group No mean in group Yes
## 5.836007 6.200000
t.test for FluencyWord
#Psychological Aggression
t.test(FluencyWord~PsychAggress,data=Alldat)
##
## Welch Two Sample t-test
##
## data: FluencyWord by PsychAggress
## t = -1.3503, df = 125.12, p-value = 0.1794
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -1.8764173 0.3543976
## sample estimates:
## mean in group No mean in group Yes
## 18.96512 19.72613
#Physical Assault
t.test(FluencyWord~PhysAssault,data=Alldat)
##
## Welch Two Sample t-test
##
## data: FluencyWord by PhysAssault
## t = 0.55143, df = 104.21, p-value = 0.5825
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.924072 1.635970
## sample estimates:
## mean in group No mean in group Yes
## 19.66845 19.31250
t.test for CVLbet
#Psychological Aggression
t.test(CVLbet~PsychAggress,data=Alldat)
##
## Welch Two Sample t-test
##
## data: CVLbet by PsychAggress
## t = -0.1526, df = 113.88, p-value = 0.879
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.2948373 0.2526625
## sample estimates:
## mean in group No mean in group Yes
## 1.738372 1.759459
#Physical Assault
t.test(CVLbet~PhysAssault,data=Alldat)
##
## Welch Two Sample t-test
##
## data: CVLbet by PhysAssault
## t = -2.7841, df = 100.48, p-value = 0.006414
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.7085866 -0.1189313
## sample estimates:
## mean in group No mean in group Yes
## 1.704991 2.118750
t.test for CVLtca
#Psychological Aggression
t.test(CVLtca~PsychAggress,data=Alldat)
##
## Welch Two Sample t-test
##
## data: CVLtca by PsychAggress
## t = -2.2222, df = 114.75, p-value = 0.02823
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -3.8199178 -0.2193866
## sample estimates:
## mean in group No mean in group Yes
## 17.97674 19.99640
#Physical Assault
t.test(CVLtca~PhysAssault,data=Alldat)
##
## Welch Two Sample t-test
##
## data: CVLtca by PhysAssault
## t = -0.99926, df = 102.09, p-value = 0.32
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -2.8975452 0.9561014
## sample estimates:
## mean in group No mean in group Yes
## 19.60428 20.57500
t.test for CVLtcb
#Psychological Aggression
t.test(CVLtcb~PsychAggress,data=Alldat)
##
## Welch Two Sample t-test
##
## data: CVLtcb by PsychAggress
## t = -0.93449, df = 122.28, p-value = 0.3519
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.6415006 0.2300613
## sample estimates:
## mean in group No mean in group Yes
## 3.918605 4.124324
#Physical Assault
t.test(CVLtcb~PhysAssault,data=Alldat)
##
## Welch Two Sample t-test
##
## data: CVLtcb by PhysAssault
## t = 0.042525, df = 103.65, p-value = 0.9662
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.4809474 0.5020259
## sample estimates:
## mean in group No mean in group Yes
## 4.098039 4.087500
t.test for CVLfrl
#Psychological Aggression
t.test(CVLfrl~PsychAggress,data=Alldat)
##
## Welch Two Sample t-test
##
## data: CVLfrl by PsychAggress
## t = -3.4887, df = 116.6, p-value = 0.0006857
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -2.0457266 -0.5641204
## sample estimates:
## mean in group No mean in group Yes
## 4.558140 5.863063
#Physical Assault
t.test(CVLfrl~PhysAssault,data=Alldat)
##
## Welch Two Sample t-test
##
## data: CVLfrl by PhysAssault
## t = -1.004, df = 99.751, p-value = 0.3178
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -1.2735820 0.4177442
## sample estimates:
## mean in group No mean in group Yes
## 5.634581 6.062500
t.test for CVLfrs
#Psychological Aggression
t.test(CVLfrs~PsychAggress,data=Alldat)
##
## Welch Two Sample t-test
##
## data: CVLfrs by PsychAggress
## t = -2.6013, df = 114.45, p-value = 0.01051
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -1.7349347 -0.2348956
## sample estimates:
## mean in group No mean in group Yes
## 4.906977 5.891892
#Physical Assault
t.test(CVLfrs~PhysAssault,data=Alldat)
##
## Welch Two Sample t-test
##
## data: CVLfrs by PhysAssault
## t = -0.57733, df = 98.92, p-value = 0.565
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -1.0912422 0.5993528
## sample estimates:
## mean in group No mean in group Yes
## 5.729055 5.975000
t.test for StroopMixed
#Psychological Aggression
t.test(StroopMixed~PsychAggress,data=Alldat)
##
## Welch Two Sample t-test
##
## data: StroopMixed by PsychAggress
## t = -3.3141, df = 107.1, p-value = 0.001255
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -6.512999 -1.637659
## sample estimates:
## mean in group No mean in group Yes
## 29.26582 33.34115
#Physical Assault
t.test(StroopMixed~PhysAssault,data=Alldat)
##
## Welch Two Sample t-test
##
## data: StroopMixed by PhysAssault
## t = -0.78011, df = 76.695, p-value = 0.4377
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -4.047331 1.768883
## sample estimates:
## mean in group No mean in group Yes
## 32.62268 33.76190