Nonparametric tests are also called distribution-free tests because they don't assume that your data follow a specific distribution. You may have heard that you should use nonparametric tests when your data don't meet the assumptions of the parametric test, especially the assumption about normally distributed data.
Answer:
<u>-</u><u>5</u><u>g</u><u>(</u><u>4</u><u>)</u><u> </u><u>-</u><u> </u><u>1</u><u> </u><u>is</u><u> </u><u>9</u>
Step-by-step explanation:

when x is 4:

therefore:

Answer:
2x Y,
Step-by-step explanation:
Answer:
idk
Step-by-step explanation:
\left[x \right] = \left[ 16+3\,y\right][x]=[16+3y] totally graphic doing ur sheets