An independent t-test will be carried out to establish whether the youth in minority groups are more likely to engage in crime when they are part of groups or if they engage in criminal activities independently. The significance of this research question is to determine the best way to deal with juvenile criminal activities by focusing on the factors that influence them to commit crime.
There are various benefits of using t-tests when answering this research question. One is that it requires minimal data to be effective, whereby only a few subjects will be needed from both sides (Kim, 2015) . Additionally, conducting the test is straight forward since there are clearly outlined formulas and software that undertake complex tasks. The tests are robust, and they can be easily interpreted. The independent variables will be adolescents while the dependent variables are groups or independent crime rates. The scales of measurement that will be used include the mean and the standard deviation.
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The strength of this posting is that it will provide an in-depth analysis of criminal activities by juveniles. Juveniles in minority groups are often linked to high rates of crime. In most of these cases, their racial background is used to justify their criminal activities. However, there is a need to look deeper within these racial setups to understand the factors that push such individuals to engage in crime (Lantz, Andersson & Manfredsson, 2016) . Additionally, it would help to clarify the assumption of mob mentality and the impact that gangs have on juveniles in neighborhoods that are predominantly occupied by minority groups. Based on the results of the test, it will be possible to determine whether differences exist within the selected populations (Ross & Willson, 2017) . A significance level will be chosen, and this will form the basis of either accepting or rejecting the null hypothesis. The mean score of juvenile crimes joining groups committing crime will be higher than the mean score of independent adolescents committing crime. It is due to minority groups being known to form gang groups which most youths join.
References
Kim, T. K. (2015). T test as a parametric statistic. Korean journal of anesthesiology , 68 (6), 540. Lantz, B., Andersson, R., & Manfredsson, P. (2016). Preliminary tests of normality when comparing three independent samples. Journal of Modern Applied Statistical Methods , 15 (2), 11.
Ross, A., & Willson, V. L. (2017). Independent samples T-test. In Basic and Advanced Statistical Tests (pp. 13-16). Brill Sense.
