Finite Math Examples

$2.02$ , $1.43$ , $1.29$ , $1.35$ , $1.34$ , $1.39$ , $1.94$ , $1.43$ , $2.03$ , $1.81$ , $1.83$ , $1.82$ , $1.57$ , $2.08$ , $1.93$ , $1.32$

Step 1

The mean of a set of numbers is the sum divided by the number of terms.

$\frac{2.02 + 1.43 + 1.29 + 1.35 + 1.34 + 1.39 + 1.94 + 1.43 + 2.03 + 1.81 + 1.83 + 1.82 + 1.57 + 2.08 + 1.93 + 1.32}{16}$

Step 2

Simplify the numerator.

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Step 2.1

Add $2.02$ and $1.43$ .

$\frac{3.45 + 1.29 + 1.35 + 1.34 + 1.39 + 1.94 + 1.43 + 2.03 + 1.81 + 1.83 + 1.82 + 1.57 + 2.08 + 1.93 + 1.32}{16}$

Step 2.2

Add $3.45$ and $1.29$ .

$\frac{4.74 + 1.35 + 1.34 + 1.39 + 1.94 + 1.43 + 2.03 + 1.81 + 1.83 + 1.82 + 1.57 + 2.08 + 1.93 + 1.32}{16}$

Step 2.3

Add $4.74$ and $1.35$ .

$\frac{6.09 + 1.34 + 1.39 + 1.94 + 1.43 + 2.03 + 1.81 + 1.83 + 1.82 + 1.57 + 2.08 + 1.93 + 1.32}{16}$

Step 2.4

Add $6.09$ and $1.34$ .

$\frac{7.43 + 1.39 + 1.94 + 1.43 + 2.03 + 1.81 + 1.83 + 1.82 + 1.57 + 2.08 + 1.93 + 1.32}{16}$

Step 2.5

Add $7.43$ and $1.39$ .

$\frac{8.82 + 1.94 + 1.43 + 2.03 + 1.81 + 1.83 + 1.82 + 1.57 + 2.08 + 1.93 + 1.32}{16}$

Step 2.6

Add $8.82$ and $1.94$ .

$\frac{10.76 + 1.43 + 2.03 + 1.81 + 1.83 + 1.82 + 1.57 + 2.08 + 1.93 + 1.32}{16}$

Step 2.7

Add $10.76$ and $1.43$ .

$\frac{12.19 + 2.03 + 1.81 + 1.83 + 1.82 + 1.57 + 2.08 + 1.93 + 1.32}{16}$

Step 2.8

Add $12.19$ and $2.03$ .

$\frac{14.22 + 1.81 + 1.83 + 1.82 + 1.57 + 2.08 + 1.93 + 1.32}{16}$

Step 2.9

Add $14.22$ and $1.81$ .

$\frac{16.03 + 1.83 + 1.82 + 1.57 + 2.08 + 1.93 + 1.32}{16}$

Step 2.10

Add $16.03$ and $1.83$ .

$\frac{17.86 + 1.82 + 1.57 + 2.08 + 1.93 + 1.32}{16}$

Step 2.11

Add $17.86$ and $1.82$ .

$\frac{19.68 + 1.57 + 2.08 + 1.93 + 1.32}{16}$

Step 2.12

Add $19.68$ and $1.57$ .

$\frac{21.25 + 2.08 + 1.93 + 1.32}{16}$

Step 2.13

Add $21.25$ and $2.08$ .

$\frac{23.33 + 1.93 + 1.32}{16}$

Step 2.14

Add $23.33$ and $1.93$ .

$\frac{25.26 + 1.32}{16}$

Step 2.15

Add $25.26$ and $1.32$ .

$\frac{26.58}{16}$

Step 3

Divide $26.58$ by $16$ .

$1.66125$

Step 4

The mean should be rounded to one more decimal place than the original data. If the original data were mixed, round to one decimal place more than the least precise.

$1.661$