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ro have mortes consistent with what you found using the range? ear apea deviatio

ID: 3072361 • Letter: R

Question

ro have mortes consistent with what you found using the range? ear apea deviation: Are th De central tendency and measures of variability that should be applied rding criminal offenses investigated by U.S. attorneys the U.S. Department of Justice. Identify the a repo using the following data from br offense and measures of to these data. 2009 No. of Suspects 5,463 26,161 37,721 23,067 11,749 88,313 2012 No. of Suspects 3,528 14,491 25,929 8,712 7,672 85,458 ype of Offense Drug order Weapon Immigration Table 4. nt of Justice, Federal Justice Statistics 2009, Table 4; Federal Justice Statistics 2012, 5. The outnut bol n honge in Midwestern and

Explanation / Answer

Answer:

For the given scenario, data is categorical in nature. The categorical variable offense has six categories. The level of measurement is nominal for the given scenario.

For the given data for the number of suspects for different types of offence for the year 2009 and 2012, it is observed that there are outliers present in the data for the category immigration.

If there is an outlier present in the data, these outliers affect the arithmetic mean or average of the data. Arithmetic mean is not suitable in this case. Instead of using arithmetic mean, we will use median as the measure of central tendency for the given scenario.

We know that the outliers present in the data also affect some measures of variability such as variance, standard deviation, range, etc, but the inter-quartile range is not affected by the outliers or extreme observations of the data. So, we will use the IQR or interquartile range for the measure of variability.