The required picture is attached below :
Answer:
1 /32 yard³
Step-by-step explanation:
The volume of box can be obtained using the relation :
V = length * width * height
Length = 1/4 yards
Width = 1/2 yards
Height = 1/4 yards
Hence,
Volume (V) = 1/4 yards * 1/2 yards * 1/4 yards
Volume (V) = (1/4 * 1/2 * 1/4)(yard³)
Volume (V) = 1 / 32 yard³
Ok, were starting at when the stock increased first which is 12 cents on monday. to find your answer your going to need to add all of the increased cents first; then subtract.
12 + 14 = 26
So we have 26 cents, now we subtract the 56.
26 - 56 = -30
now we have -30. now we find out how far away on the number line it is from 12. your answer would be 42.
now for your answer, (i did all of that for other people who had the same question but different answer)
your answer would be 112 cents (which is option B)
Answer:
We are looking for the amount of wax it will take to fill up that size candle mold to make that candle. That means that we are looking for the volume of wax, and the shape is a cylinder. The volume formula for a cylinder is
For us, that will look like this:
which translates to
V = 3.14(9)(5) which gives us a volume of 141.3 cubic inches. Rounding to the nearest cubic inch is simply 141 cubic inches of wax.
Step-by-step explanation:
Answer:
The significance level is 
and since we are conducting a right tailed test we need to find a critical value who accumulate 0.01 of the area in the right of the normal standard distribution and we got:
So we reject the null hypothesis is 
Step-by-step explanation:
For this case we define the random variable X as the number of entry-level swimmers and we are interested about the true population mean for this variable . On specific we want to test this:
Null hypothesis: 
Alternative hypothesis: 
And the statistic is given by:
The significance level is and since we are conducting a right tailed test we need to find a critical value who accumulate 0.01 of the area in the right of the normal standard distribution and we got:
So we reject the null hypothesis is
