# Abstract

Much attention has been devoted to how technological advancements have created a brave new workplace, revolutionizing the ways in which work is being carried out, and how employees can improve their productivity and efficiency. However, the advent of technology has also opened up new avenues and opportunities for individuals to misbehave. This study focused on cyberloafingthe act of employees using their companies' internet access for personal purposes during work hours. Cyberloafing, thus, represents a form of production deviance. Using the theoretical frameworks offered by social exchange, organizational justice and neutralization, we examined the often-neglected dark side of the internet and the role that neutralization techniques play in facilitating this misbehavior at the workplace. Specifically, we developed a model, which suggested that when individuals perceived their organizations to be distributively, procedurally and interactionally unjust, they were likely to invoke the metaphor of the ledger as a neutralization technique to legitimize their subsequent engagement in the act of cyberloafing.

*Citation:* Lim, V. K. (2002). The IT way of loafing on the job: cyberloafing, neutralizing and organizational justice. Journal of Organizational Behavior, 23, 675-694. doi: 10.1002/job.161

# Method

Participants were given interviews to determine their perception of the company. After their interview the amount of cyberloafing (minutes per day) was measured using different types of computer stations. All employees were measured at each type of station.

# Dataset:

- Gender of the worker: male or female

- Perception of company: unjust, neutral, fair

- Cyberloafing: a measure of the amount of cyberloafing for several months

- Workstation distance: distance of workstation from boss

-Length of time: time spent working at current job

```{r starting}

final <- read.csv("attached below the question")

head(final)

```

# One-way ANOVA

- Are there differences in cyberloafing based on the perception of the company? Use a one-way ANOVA to determine if there are group differences.

- Run the ANOVA using the `ez` library.

```{r anova}

```

# Post Hoc

- Run a post hoc test and correction on company perception.

```{r posthoc}

```

# Correlations

- Include a correlation table of all the continuous variables with the `Hmisc` library.

```{r correl1}

```

- Calculate the difference in correlations for 1) cyberloafing and distance and 2) cyberloafing and length of time.

# Hierarchical Regression:

- Use a hierarchical regression predicting cyberloafing with the following steps:

- Step 1: Gender

- Step 2: Perception of Company

- Step 3: Length of time, workstation distance

- Include the `summary()` at each step. Include an `anova()` on all three models to be able to examine the changes in each step.

```{r regression}

```

# Mediation or Moderation

- Using cyberloaf as the dependent variable, test either:

- Mediation using distance as X and length of time as M - examining if length of time working for the company mediates the relationship between workstation distance and cyberloafing.

- Moderation using distance as X and length of time as M - examining if length of time interacts with the workstation distance to predict cyberloafing.

- Just one of these!

- You can use the special package for this analysis, but be sure to include all portions of the analysis (mediation: models, Sobel, bootstrapping; moderation: models + simple slopes)

```{r medmod}

```

----------------------------Dataset------------

gender perception cyberloafing distance length female fair 14.04674 9.290478 14.63458 female fair 11.47748 8.845417 13.23356 female fair 13.60886 8.914415 17.72808 female fair 13.08364 2.139097 31.36345 female fair 12.79541 3.766652 21.55844 female fair 15.71195 3.08367 26.07109 female fair 9.380818 1.81842 33.29019 female fair 12.31133 1.183302 23.08642 female fair 10.63362 7.689415 11.76648 female fair 15.87087 13.52938 10.68735 female fair 10.02916 10.69101 7.015492 female fair 14.21499 7.77714 15.83207 female fair 13.33671 3.804891 24.82888 female fair 13.74243 4.52036 24.18122 female fair 8.668787 5.810097 14.86307 female fair 13.24193 9.999923 10.64921 female fair 8.820025 2.256912 20.94389 female fair 14.66927 0.872951 27.93147 female fair 9.306319 4.154956 18.67364 female fair 13.44166 11.28974 11.2536 female fair 10.28452 3.036284 24.66154 female fair 9.793 8.669229 16.52367 female fair 10.86806 7.18737 17.23923 female fair 11.32892 3.918647 17.95476 female fair 9.817515 8.611036 12.16066 female fair 15.00182 8.569123 17.08951 female fair 9.70223 5.391724 20.80499 female fair 11.80767 1.360997 21.28291 female fair 16.05672 11.48161 13.02211 female fair 8.736177 9.039181 8.251677 female fair 5.792642 4.820627 13.94282 female fair 7.237439 10.24478 6.943021 female fair 13.59352 17.34288 3.763747 female fair 15.30191 13.01587 9.054968 female fair 13.20793 10.18406 9.572752 female fair 11.21733 2.07493 27.07486 female fair 7.682469 3.729607 22.40456 female fair 11.32948 5.027647 24.00647 female fair 13.72019 11.66751 8.150692 female fair 11.57936 8.744455 6.528509 female fair 13.49842 4.304741 23.22296 female fair 13.49663 7.246524 17.51912 female fair 8.902577 9.308396 8.058777 female fair 14.98974 6.948935 17.4651 female fair 12.86305 8.031596 11.6145 female fair 18.84987 12.42554 10.80092 female fair 12.35214 9.030824 15.72431 female fair 8.103933 3.597273 23.05382 female fair 19.55353 13.31972 9.14621 female fair 14.0862 15.35166 4.28469 female fair 12.18207 8.307281 11.76172 female fair 15.00529 6.994592 19.01185 female fair 14.17958 2.409224 26.81496 female fair 8.837975 0.384098 25.05693 female fair 14.45814 10.21432 14.64541 female fair 8.209254 8.936202 6.04714 female fair 13.19265 12.42854 5.02191 female fair 13.5071 9.002631 14.59846 female fair 13.27218 7.897684 15.13656 female fair 15.55008 11.22482 12.52752 female fair 10.95357 4.925983 17.08914 female fair 12.43077 6.891004 16.69484 female fair 12.36967 11.20797 10.26502 female fair 15.72828 5.37115 20.77901 female fair 10.79563 7.126535 13.14188 female fair 16.92421 9.508268 16.06824 female fair 14.64655 8.195513 16.87729 female fair 14.94331 10.3567 13.45568 female fair 12.46724 9.32629 10.10843 female fair 11.11512 2.39586 24.84919 female fair 11.85616 5.748301 20.04852 female fair 8.677623 9.565482 0.280809 female fair 10.58891 5.767697 18.68494 female fair 9.846766 12.29967 4.87748 female fair 6.278268 0.915828 19.96892 female fair 15.48959 9.401482 10.77116 female fair 7.12068 5.953979 14.61832 female fair 13.07261 12.78569 4.533327 female fair 9.854498 15.78039 1.111823 female fair 15.67249 5.684775 26.13814 female fair 15.26669 12.14346 12.49719 female fair 14.00194 11.56933 3.879191 female fair 13.68311 9.106134 21.85883 female fair 12.74024 10.82815 7.981857 female fair 12.78953 7.208432 16.23147 female fair 10.59894 2.769266 20.7568 female fair 17.17438 8.00039 20.97483 female fair 13.31026 5.851407 19.95163 female fair 10.62954 7.962934 13.52706 female fair 13.36032 8.084197 11.77146 female fair 14.00119 3.749074 25.69891 male fair 9.832361 7.936408 8.178959 male fair 9.76849 11.45021 1.84829 male fair 3.896019 7.275026 1.752501 male fair 11.00921 7.43899 11.88776 male fair 17.13321 6.044028 23.66303 male fair 8.513042 7.130968 8.572369 male fair 9.823388 6.233524 14.13364 male fair 9.098603 11.09856 1.668809 male fair 12.87664 8.428046 9.928562 male fair 13.45657 11.47652 4.344695 male fair 9.244124 8.388868 7.536009 male fair 12.78358 8.335613 13.32388 male fair 11.52274 9.290771 9.552915 male fair 5.441214 5.722622 7.502747 male fair 0.524244 4.036345 5.704577 male fair 11.38289 7.557736 13.57559 male fair 13.67249 7.682727 14.19792 male fair 9.994654 4.43482 17.05965 male fair 10.37788 9.993832 5.37686 male fair 9.833294 7.154792 8.359515 male fair 14.36047 7.813339 15.61769 male fair 13.76546 4.570761 23.65815 male fair 10.12831 7.491936 9.635897 male fair 8.78664 3.807476 18.10905 male fair 3.478949 8.842843 1.078213 male fair 3.510677 8.566287 0.063031 male fair 5.993432 7.262172 5.763618 male fair 3.176124 4.184824 9.50637 male fair 6.535403 7.93596 5.251926 male fair 12.44325 7.063547 15.6596 male fair 10.15379 3.841096 17.82239 male fair 8.755136 5.56984 12.85243 male fair 13.60768 7.047867 16.24897 male fair 11.13732 5.064798 14.47601 male fair 8.002066 8.038107 5.97746 male fair 10.99256 6.709619 14.11837 male fair 19.33108 2.472005 32.34635 male fair 12.83462 6.906441 14.43136 male fair 6.600921 7.797041 3.856969 male fair 7.266358 6.603541 8.064033 male fair 9.102936 2.918345 19.8778 male fair 9.581927 7.241004 9.703279 male fair 9.316586 8.335638 7.467343 male fair 7.127622 9.284862 2.740548 male fair 11.11561 2.547349 23.78039 male fair 9.828685 9.344183 4.466075 male fair 5.659292 5.005484 10.33528 male fair 7.568327 3.732426 13.86633 male fair 12.17517 8.653886 10.56847 male fair 11.93376 3.091523 19.98301 male fair 3.811148 5.106735 7.310916 male fair 11.70676 4.605684 19.12928 male fair 6.941621 9.062469 2.974988 male fair 12.35222 6.707707 14.58667 male fair 6.745579 7.66095 3.416247 male fair 6.070307 6.574377 7.107771 male fair 10.96823 3.554703 18.67136 male fair 8.545876 7.300906 8.332207 male fair 15.03182 5.103153 21.45903 male fair 10.83972 9.379823 6.053881 male fair 10.84687 7.379293 12.09546 male fair 12.28474 5.434465 17.38986 male fair 10.37924 7.453581 9.737293 male fair 10.05718 7.716544 10.81686 male fair 5.364537 6.111566 6.690741 male fair 5.029284 4.317043 12.54124 male fair 6.634102 4.977128 9.579831 male fair 7.873744 6.68708 8.091958 male fair 8.058606 6.146167 8.717227 male fair 9.816462 7.53808 10.97483 male fair 7.10098 6.876041 8.393508 male fair 8.193234 6.73752 9.904808 male fair 10.40242 4.997949 17.68464 male fair 15.18201 8.326651 14.79946 male fair 8.512335 5.599627 10.89755 male fair 9.856923 3.857065 18.1539 male fair 10.67665 8.38105 9.900742 male fair 6.72164 4.67214 13.64608 male fair 9.138591 5.340912 13.88418 male fair 8.211163 3.869014 15.65285 male fair 15.637 4.9478 24.60367 male fair 11.19636 9.340977 7.538863 male fair 6.570485 7.357158 3.775267 male fair 5.115352 7.713527 5.053549 male fair 11.04365 2.761709 20.96305 male fair 12.21195 8.650593 10.31995 male fair 13.61354 4.795469 20.80846 male fair 7.746953 7.729666 5.601666 male fair 10.97119 3.974568 19.48718 male fair 2.933191 7.169563 1.243893 male fair 14.88205 4.74493 21.0353 female neutral 18.75496 10.01941 18.79757 female neutral 20.61704 12.89212 16.21259 female neutral 18.80805 8.280298 21.16993 female neutral 21.6463 8.78941 22.49055 female neutral 21.48706 10.95271 13.67269 female neutral 18.8955 6.082608 23.23301 female neutral 20.79365 6.513271 23.70423 female neutral 20.25571 4.504416 28.06348 female neutral 24.44209 8.613824 21.27151 female neutral 22.67039 9.823758 19.41902 female neutral 23.5834 9.499023 21.80667 female neutral 20.67717 3.59375 29.80439 female neutral 20.60573 8.344022 20.61236 female neutral 20.58489 7.454826 21.21123 female neutral 23.8107 12.9763 12.06852 female neutral 17.64233 9.336745 18.16229 female neutral 23.21885 9.715304 19.57744 female neutral 18.85479 7.25775 23.33149 female neutral 23.58897 7.286812 24.4568 female neutral 17.15515 5.934388 20.44713 female neutral 20.00762 11.62706 12.21226 female neutral 21.10665 5.831934 32.40238 female neutral 22.50567 6.515367 29.38391 female neutral 22.37079 8.458822 24.23592 female neutral 22.92429 12.79116 14.19755 female neutral 21.45887 8.813764 24.47115 female neutral 20.18119 7.072732 20.73413 female neutral 19.85687 2.906711 29.51437 female neutral 20.68315 10.65402 13.68325 female neutral 21.0482 3.366141 24.90455 female neutral 20.39116 9.834937 15.13567 female neutral 21.44377 9.415615 18.41219 female neutral 16.65967 4.952668 24.98086 female neutral 18.96523 5.917172 27.08471 female neutral 18.50654 8.58054 24.05629 female neutral 20.79332 7.790964 21.23478 female neutral 23.12632 9.060782 17.3514 female neutral 17.37457 6.812121 22.10096 female neutral 17.05406 6.889024 18.05749 female neutral 18.71576 10.43735 17.65733 female neutral 17.76414 7.236373 17.09401 female neutral 19.80593 11.7791 10.03434 female neutral 20.62745 10.62567 16.2739 female neutral 20.7285 8.420965 21.53182 female neutral 22.19855 11.54935 15.99347 female neutral 17.58882 10.18778 14.53905 female neutral 20.11651 12.67723 11.19539 female neutral 22.3904 11.90295 15.38723 female neutral 21.42511 15.69697 8.28189 female neutral 23.36119 8.780434 21.23843 female neutral 22.31822 13.61507 15.03641 female neutral 20.49694 3.804293 31.54301 female neutral 18.75205 6.382498 23.46078 female neutral 18.23793 7.209885 20.13734 female neutral 15.50536 5.375732 20.39613 female neutral 19.67605 5.107931 24.5898 female neutral 20.21188 11.10156 13.29747 female neutral 20.96475 2.589822 32.32768 female neutral 20.85081 12.33905 12.857 female neutral 21.44966 10.65367 22.21663 female neutral 21.01514 10.11741 19.87045 female neutral 18.4365 8.438814 18.09245 female neutral 20.91665 7.156707 22.2363 female neutral 25.07636 10.98899 24.33229 female neutral 18.85648 5.944958 23.05913 female neutral 18.4217 7.500626 18.02622 female neutral 19.2093 6.081532 25.4153 female neutral 19.43348 14.48232 11.33625 female neutral 19.33702 8.085337 18.40968 female neutral 21.48196 9.405613 19.24276 female neutral 20.193 5.690931 24.82627 female neutral 20.82946 6.974207 21.43508 female neutral 21.69388 10.34866 17.7449 female neutral 20.72891 10.57159 18.32923 female neutral 19.4874 4.726357 26.65564 female neutral 20.71112 5.122517 27.85293 female neutral 24.74278 12.15318 19.65398 female neutral 18.13523 6.946146 22.57414 female neutral 17.7684 6.898483 21.91259 female neutral 20.74559 7.706404 21.21796 female neutral 18.1789 9.217172 18.00706 female neutral 17.17386 13.39234 8.958129 female neutral 20.39765 7.79099 23.35369 female neutral 18.03804 8.013458 15.87983 female neutral 21.05555 10.72545 15.8457 female neutral 19.45881 3.374681 26.97692 female neutral 21.12706 12.07777 9.115913 female neutral 21.52431 5.845048 26.18936 female neutral 20.43839 9.484392 23.04827 female neutral 19.11115 8.480683 19.3929 female neutral 18.08468 4.892394 23.13446 male neutral 28.15658 10.01695 21.73236 male neutral 21.63142 11.58463 12.90491 male neutral 21.08455 7.531023 22.95812 male neutral 20.72469 8.110059 20.95115 male neutral 21.90887 8.866021 20.18464 male neutral 22.02522 9.5865 18.03141 male neutral 17.82818 8.742238 17.53956 male neutral 19.14634 10.39823 13.43997 male neutral 18.18351 7.831583 19.90431 male neutral 21.40211 8.906016 19.08369 male neutral 19.84792 10.05532 15.60642 male neutral 26.29514 15.78306 6.044175 male neutral 24.16865 12.56512 12.93599 male neutral 19.57457 8.790187 18.0293 male neutral 18.15693 7.362123 21.02226 male neutral 26.47934 11.0031 18.14283 male neutral 28.05203 10.3851 21.03737 male neutral 24.50056 8.2296 23.79608 male neutral 24.36804 7.740996 24.78775 male neutral 16.51371 6.886323 20.78671 male neutral 20.83721 8.620223 19.5668 male neutral 24.68575 10.05661 18.4402 male neutral 18.7269 7.814613 20.66174 male neutral 24.61906 8.935615 21.84117 male neutral 23.06144 11.96433 13.12814 male neutral 22.65894 11.16668 14.35197 male neutral 24.62558 11.46953 15.21379 male neutral 21.90542 7.120186 24.50033 male neutral 23.19996 10.6272 16.71603 male neutral 19.32212 7.264651 21.95586 male neutral 20.88895 8.314991 20.01242 male neutral 21.4517 8.589111 21.19954 male neutral 24.37532 12.50281 13.23192 male neutral 16.76108 7.551673 18.40771 male neutral 20.05526 5.990011 26.20091 male neutral 18.85243 8.070462 19.32395 male neutral 23.4269 7.399275 25.90646 male neutral 19.92379 9.788872 15.9409 male neutral 21.58553 7.725653 22.15946 male neutral 22.29003 9.566991 19.66321 male neutral 21.37875 9.502839 17.81696 male neutral 24.89833 8.192853 23.82364 male neutral 21.86721 9.125707 19.39466 male neutral 23.38929 8.684898 22.34374 male neutral 23.5907 10.39601 16.53852 male neutral 23.70232 8.04752 23.86216 male neutral 23.02539 10.59866 16.11999 male neutral 21.54162 8.148254 22.0644 male neutral 20.92578 4.658582 29.53283 male neutral 22.15886 9.73674 18.19454 male neutral 22.29504 7.981268 22.15437 male neutral 20.34129 9.584305 16.93533 male neutral 21.04675 10.74849 14.82073 male neutral 26.72673 11.89954 16.73324 male neutral 24.95169 9.433703 20.86216 male neutral 25.17697 9.799947 20.50371 male neutral 24.32162 9.744749 19.54762 male neutral 19.65875 9.511341 17.04267 male neutral 25.1025 10.64863 18.06057 male neutral 25.95525 6.437473 28.94539 male neutral 23.0084 10.37718 17.32285 male neutral 20.17392 11.37068 12.6735 male neutral 22.8605 8.88434 20.97768 male neutral 25.60505 5.982641 30.17776 male neutral 29.55054 10.7624 20.8413 male neutral 26.39233 10.6125 18.79392 male neutral 23.27333 7.646184 24.76252 male neutral 16.64082 7.862881 18.5256 male neutral 20.22379 12.06838 11.18863 male neutral 26.6145 10.53267 19.60191 male neutral 16.11852 6.709308 21.12525 male neutral 21.60972 9.557072 17.48213 male neutral 21.52584 9.668356 18.08017 male neutral 22.40351 9.411569 19.18007 male neutral 24.41558 6.970017 27.081 male neutral 17.59504 8.873815 15.89517 male neutral 16.89397 6.416633 21.92551 male neutral 16.39461 8.05787 18.21083 male neutral 17.56441 4.278034 27.94282 male neutral 17.81469 7.838212 19.43976 male neutral 24.6795 9.855166 19.53318 male neutral 19.86273 9.794408 16.0626 male neutral 20.8902 8.791015 19.33511 male neutral 20.79527 6.807302 24.07347 male neutral 22.35853 9.423571 18.51621 male neutral 18.99739 8.079778 19.91564 male neutral 21.58012 9.750145 17.83161 male neutral 22.48987 9.203203 19.43882 male neutral 24.67974 12.44447 13.15101 male neutral 24.18023 8.814596 21.89568 male neutral 21.7066 8.31198 21.29908 female unjust 8.836242 6.841231 19.74373 female unjust 41.0953 12.96075 25.80267 female unjust 40.72628 9.551319 33.71793 female unjust 29.72915 8.017063 30.1743 female unjust 34.17976 7.795922 34.32039 female unjust 50.52819 11.02094 37.0183 female unjust 47.42395 5.639263 47.08068 female unjust 39.67555 13.57886 22.66369 female unjust 28.16576 7.894627 29.51179 female unjust 39.70779 8.558027 33.81199 female unjust 53.84184 13.31135 31.91709 female unjust 44.81036 13.02744 28.08949 female unjust 55.86462 14.03908 33.16219 female unjust 36.41991 12.1866 23.9432 female unjust 19.97375 8.487698 23.56317 female unjust 33.71725 11.22734 25.33419 female unjust 35.26454 13.03727 21.65053 female unjust 47.10627 10.62826 34.39812 female unjust 46.67153 11.65008 31.28127 female unjust 53.23581 9.531633 42.52284 female unjust 36.2442 13.68119 21.70683 female unjust 27.42983 11.25245 21.1841 female unjust 65.27481 15.27169 35.55294 female unjust 58.14138 14.2302 33.51121 female unjust 35.90202 8.053303 32.78455 female unjust 71.23434 15.81138 37.30205 female unjust 49.6133 13.45112 30.25674 female unjust 53.49782 12.12428 35.18952 female unjust 35.00924 8.744495 31.501 female unjust 28.77627 8.293566 29.23836 female unjust 35.68272 15.51851 15.39993 female unjust 21.15668 5.854243 27.5283 female unjust 49.86425 11.98506 32.76611 female unjust 14.5615 6.969655 23.81806 female unjust 40.70969 12.27667 27.26361 female unjust 22.43967 8.804705 24.59696 female unjust 25.12602 12.25687 14.88756 female unjust 40.19181 10.59533 31.92552 female unjust 44.68165 9.81575 36.37303 female unjust 35.78758 7.252774 34.87726 female unjust 30.11773 8.424153 27.48425 female unjust 38.51176 9.758637 32.45964 female unjust 44.19772 13.00016 28.19163 female unjust 36.23947 12.16026 23.4183 female unjust 44.28534 10.88969 32.87722 female unjust 27.3638 6.592997 31.62773 female unjust 18.58037 8.206842 21.70012 female unjust 56.14014 15.31122 30.08524 female unjust 51.21405 14.32448 28.53069 female unjust 25.10965 10.25759 19.14629 female unjust 49.61072 13.30538 29.62804 female unjust 44.51788 10.88547 31.3456 female unjust 46.21743 12.99207 27.39008 female unjust 48.82265 13.20422 29.9042 female unjust 32.68455 10.01521 25.01371 female unjust 45.95856 10.02459 35.05106 female unjust 51.20408 14.12477 28.85681 female unjust 30.521 8.70481 29.51579 female unjust 50.95188 14.15933 28.92982 female unjust 31.0628 9.49763 27.83452 female unjust 52.95125 11.42009 37.11289 female unjust 41.47959 12.88253 25.85825 female unjust 62.64747 14.88168 35.13475 female unjust 43.03318 11.34169 29.06592 female unjust 45.9963 11.15543 31.50457 female unjust 45.53104 12.76625 28.59084 female unjust 23.63922 10.31575 20.81716 female unjust 34.21991 7.936785 32.52903 female unjust 56.86045 12.25436 36.81111 female unjust 46.28957 9.524946 35.26993 female unjust 43.36514 14.73335 23.70989 female unjust 44.10831 11.11024 30.62364 female unjust 42.02702 13.40745 26.92341 female unjust 38.91226 10.86064 28.08131 female unjust 35.56257 8.936691 30.0368 female unjust 45.62346 10.7581 33.79589 female unjust 34.24023 7.093259 35.41072 female unjust 34.00176 10.03365 28.6734 female unjust 42.82892 10.12011 32.93561 female unjust 50.14852 14.36737 26.72329 female unjust 44.20759 9.189863 35.80289 female unjust 27.01914 7.889429 28.07581 female unjust 49.45044 10.16465 35.93355 female unjust 39.71058 9.056714 32.8789 female unjust 38.88086 10.13918 29.9093 female unjust 37.87664 8.454325 34.38974 female unjust 31.53271 10.40952 25.12921 female unjust 30.88768 10.17081 25.14108 female unjust 45.0181 12.37219 28.57753 female unjust 38.13205 12.60539 24.86259 female unjust 45.99227 8.778719 37.53064 male unjust 40.94458 13.20335 25.08045 male unjust 39.11592 9.937409 29.81706 male unjust 21.26168 7.599032 22.29537 male unjust 43.84354 14.83743 23.19551 male unjust 20.9375 8.811481 19.61147 male unjust 41.92913 13.5434 25.26102 male unjust 40.6155 12.55019 27.12276 male unjust 34.25049 11.07933 24.39177 male unjust 33.16442 7.547617 31.42368 male unjust 29.99582 10.4205 22.17976 male unjust 39.40195 12.68334 25.34999 male unjust 38.44336 11.92251 25.54003 male unjust 36.88838 13.37005 22.00019 male unjust 38.15943 12.22422 24.32814 male unjust 45.57675 14.90898 25.41511 male unjust 30.20547 11.57043 21.10439 male unjust 36.80117 13.08645 21.65503 male unjust 33.89907 9.67095 27.42717 male unjust 35.53994 10.80956 26.86314 male unjust 33.11555 12.35941 21.48096 male unjust 32.64677 11.31058 23.3894 male unjust 31.56924 10.62331 24.13842 male unjust 39.55486 11.92474 26.36519 male unjust 40.68164 11.14621 29.53122 male unjust 42.26955 11.17795 30.12318 male unjust 27.26878 7.591874 26.62169 male unjust 44.65011 12.93274 28.95962 male unjust 36.08309 12.53417 23.14471 male unjust 41.69962 11.32795 30.21172 male unjust 32.3406 11.04706 23.24714 male unjust 32.43502 10.69759 24.80114 male unjust 37.76816 13.64798 21.41039 male unjust 50.32556 15.5612 26.67591 male unjust 39.44994 13.00873 24.13659 male unjust 35.05649 14.7617 17.68563 male unjust 29.96275 10.25262 23.68758 male unjust 32.33368 9.217589 27.39622 male unjust 40.98999 13.56302 23.99394 male unjust 29.35326 9.34459 24.56374 male unjust 49.28479 14.68976 28.14377 male unjust 40.06527 13.14031 24.55913 male unjust 37.28285 13.38358 22.31223 male unjust 39.84611 13.2423 23.53748 male unjust 38.46659 11.97828 25.95705 male unjust 37.32411 12.78936 23.0499 male unjust 40.8261 13.92151 23.53216 male unjust 29.33584 13.32132 16.65086 male unjust 30.438 12.2359 19.2053 male unjust 35.06918 10.02327 27.53412 male unjust 33.58291 10.90123 24.64898 male unjust 33.83202 10.72954 25.89696 male unjust 44.82805 11.31359 32.20596 male unjust 37.66228 10.04644 29.67092 male unjust 31.50317 9.511443 25.63109 male unjust 51.13338 16.1552 25.5291 male unjust 43.48174 14.31229 24.93783 male unjust 30.39794 10.73818 22.43774 male unjust 44.46739 11.82706 30.71876 male unjust 35.76349 10.42749 27.29823 male unjust 28.11972 10.01644 22.38544 male unjust 34.15778 12.41804 21.6898 male unjust 23.38374 7.8827 23.24643 male unjust 33.78326 12.07686 21.93598 male unjust 34.37404 9.448722 28.54064 male unjust 34.54116 9.014771 29.7842 male unjust 34.87384 8.657764 30.57442 male unjust 33.88966 11.31617 23.9546 male unjust 39.23294 12.6746 25.22948 male unjust 42.28039 12.57647 27.51667 male unjust 29.06105 8.242363 27.50303 male unjust 30.25067 9.38974 25.59851 male unjust 29.52162 9.943306 23.6279 male unjust 22.34331 8.829649 20.40928 male unjust 60.1333 16.93629 30.55914 male unjust 38.42478 13.99252 20.89616 male unjust 36.45675 10.99565 26.59571 male unjust 31.1893 9.917146 24.53602 male unjust 29.74642 7.718265 29.07046 male unjust 33.17186 11.89879 21.6414 male unjust 45.95992 13.26154 29.07052 male unjust 31.68937 11.57816 21.39608 male unjust 28.37493 8.243221 26.56107 male unjust 43.20854 11.71849 29.72337 male unjust 19.80039 8.278334 20.33284 male unjust 27.59306 11.95831 18.45453 male unjust 42.24619 14.83547 22.98701 male unjust 39.47812 11.55742 28.17089 male unjust 35.27241 9.626423 29.25008 male unjust 34.3312 10.70312 26.02697 male unjust 39.97954 15.16258 20.8199 male unjust 27.76685 8.037594 25.85296