Answer:
Total soft toys sales = 84,498
Step-by-step explanation:
Given:
Soft toy sales in 2014 = 11,926
Soft toy sales in 2015 = 24,360 + 11,926 = 36,286
Soft toy sales in 2016 = Soft toy sales in 2015
Find:
Total soft toys sales
Computation:
Total soft toys sales = Soft toy sales in 2014 + Soft toy sales in 2015 + Soft toy sales in 2016
Total soft toys sales = 11,926 + 36,286 + 36,286
Total soft toys sales = 84,498
Answer:
-16
Step-by-step explanation:
im just taking a guess.
x+4>-12
-4 -4
---------------
4's cancel out and -12+-4=-16
Again this is just a guess.
Step-by-step explanation:
for a³b²c-1d
given
a=2
b=4
c=10
d=15
a³b²c-¹d
=(2³4²10^-1*15
=2³4²15/10
=8*16*15/10
=8*8*3
=64*3
=192
now
a³b²c¹d
=(2³4²10 15)
=(8*16*10*15)
=120*16*10
=1200*16
=19200
It is usually noted that correlation does not imply causation, but there are some correlations which are causation as well.
A correlation is when there is a relationship between two variables while causation is when the outcome of one variable affects the outcome of the other variable.
From the first option, though there may be a positive relationship between sales of jeans and sales of slacks, but the purchase of jeans does not mean that you have to purchase a slack, thus, there is no causation.
For the second option, though there may be positive relationship between <span>the number of aisles and the number of products in a supermarket, but a supermarket can have many aisles with few products, i.e. many aisles does not automatically imply many products, thus, there is no causation.
For the third option, though there may be a positive relationship between </span><span>the number of swimmers and the number of sunbathers at a beach, but all swimmers in a beach are not sunbathers and all sunbathers are not swimmers. Thus, a swimmer does not imply a sunbather and a sunbather does not imply a swimmer. Thus, there is no causation.
For the last option, it is generally known that the more you practice an activity, the better you get in that activity. Thus, there exist a relationship between </span><span>the number of hours spent practicing archery and the number of bull's-eyes an archer can hit and there also exist causation because the number of bull's-eye an archer can hit is directly dependent on the number of hours the archer spent practicing.
Therefore, the </span><span>correlation that is most likely a causation is </span><span>the positive correlation between the number of hours spent practicing archery and the number of bull's-eyes the archer can hit.</span>
