We have been given an equation
. We are asked to solve the equation for t.
First of all, we will divide both sides of equation by a.


Now we will take natural log on both sides.

Using natural log property
, we will get:

We know that
, so we will get:


Now we will divide both sides by c as:


Therefore, our solution would be
.
Answer:
3/6
Step-by-step explanation:
no idea if its right
The rhombus always has perpendicular diagonals.
Answer: 1.2 in
Step-by-step explanation:
The pythagorean theorem states that a²+b²=c². Thus, 0.9²+b²=1.5².
1.5²=2.25
0.9^2=0.81
0.81 + b² = 2.25
1.44 = b²
b = 1.2
Hope it helps <3 :)
Yes they are
When a research question asks you to find a statistical sample mean (or average), you need to report a margin of error, or MOE, for the sample mean. The general formula for the margin of error for the sample mean is the population standard deviation, n is the sample size, and z* is the appropriate z*<span>-value for your desired level of confidence
</span>1.Find the population standard deviation and the sample size, n<span>.
</span><span>2.Divide the population standard deviation by the square root of the sample size.
</span>3.Multiply by the appropriate z*<span>-value.
HOPE WİLL HELP</span>