Using a significance level of 5% the appropriate conclusion for a test with a p-level of 0.0421 would be:

Tested outcome (difference) is significant.

Step-by-step explanation:

The significance level of 5% (more typically referred to as 95%) corresponds to saying that if an observation at hand is (only) 5% or less likely to have been generated by chance, then it will be accepted as significant. In this example, the p-level (which is the actual probability of the observation being generated by chance) is lower than 5% (0.0421<0.05) and therefore a conclusion can be made that the observed outcome is significant.

An example of an outcome being significant could a drug improving patients's condition in a clinical study.

f(x) = x^3 -2x^2 -3x

x( x^2 -2x-3)

x( x^2 +x -3x -3)

x( x(x+1) -3(x+1))

x( x-3)( x+1)

so zeroes are 0, 3,-1

its (2) option

0.16 or 16%

step-by-step explanation:

lets take a coin for example.

if you toss it twice, it has a 1/4 chance of landing on heads both times because 1/2 * 1/2 is 1/4.

with the cards, the chance of picking dog is 0.4. having two people pick one is like picking a card twice in a row. so 0.4 * 0.4 is 0.16, or 16%