Answer:
-12,-9,8,10,12,16
Step-by-step explanation:
Answer:200cubic sand
Step-by-step explanation:
cubic means 3 times. And you lose 100 sand from wind 10 times.
We are given that a coin is toseed with two possible outcomes (head or tails) and a ball from a ball with balls of three different colors is picked.
We have that the possible outcomes are all possible combinations of the faces of the coin and the color of one of the balls.
Therfore, if:

The possible combinations are:

Therefore, the right answer is C.
Answer:
The p value for this test is given 
Since the p value is higher than the significance level given of
we have enough evidence to FAIL to reject the null hypothesis. And we can say that the true proportion of firms in the manufacturing sector still do not offer any child-care benefits to their workersis is not significantly higher than 0.85 or 85% at 5% of significance.
Step-by-step explanation:
We define the proportion of interest as p who represent the true proportion of firms in the manufacturing sector still do not offer any child-care benefits to their workers
And we want to anaylze the following system of hypothesis:
Null hypothesis: 
Alternative hypothesis: 
And the statistic for this test is given by:

The p value can be calculated with this formula:

And the p value for this test is given 
Since the p value is higher than the significance level given of
we have enough evidence to FAIL to reject the null hypothesis. And we can say that the true proportion of firms in the manufacturing sector still do not offer any child-care benefits to their workersis is not significantly higher than 0.85 or 85% at 5% of significance.