91影视

The amounts collected by Brinks and others are recorded in millions of dollars.

The formula for the mean of a data set is:

$\stackrel{炉}{x}=\frac{鈭�x}{n}$, where xis the observations and nis the count of the observations.

The mean value when the collection contractor was Brinks is given as:

$$\begin{gathered} {\stackrel{炉}{x}}_B=\frac{1.3+1.5+1.3+...+1.6}{10} \\ =\frac{15.5}{10} \\ 鈮�1.55 \end{gathered}$$

Thus, when the contractor was Brinks, the mean value was $1.55 million.

The mean value when the collection contractor was not Brinks.

$$\begin{gathered} {\stackrel{炉}{x}}_O=\frac{2.2+1.9+1.5+...+1.8}{10} \\ =\frac{17.3}{10} \\ =1.73 \end{gathered}$$

Thus, the mean value when the contractor was not Brinks was $1.73 million.

The steps to compute the median measure are as follows:

• Obtain counts of measurement; n.
• When n is even, the median is the mean of the middle values.
• When n is odd, the median is the middle value.

Compute the median for the amounts when the contractor was Brinks.

The number of observations is10.

Arrange the observations in ascending order.

The middlemost observations are1.5 and 1.6.

The median is given as:

$$\begin{gathered} M_B=\frac{1.5+1.6}{2} \\ =\frac{3.1}{2} \\ =1.55 \end{gathered}$$

Thus, the median for the amounts when the contractor was Brinks is $1.55 million.

Compute the median for the amounts when the contractor was not Brinks.

The number of observations is10.

Arrange the observations in ascending order.

The middlemost observations are 1.6 and 1.7.

The median is given as:

$$\begin{gathered} M_O=\frac{1.6+1.7}{2} \\ =\frac{3.3}{2} \\ =1.65 \end{gathered}$$

Thus, the median for the amounts when the contractor was not Brinks is $1.65 million.

The summarized results are:

The mean and median values when the collection contractor was Brinks remained the same. On the other hand, the results vary in the case of the other contractor.

Also, both measures have lower values and exactly the same value when the collection contractor was Brinks. The observation may be suggestive of stealing by Brinks employees.