The final price of the jacket was $32.40 after both the 10% and 40% discount. The total discount is NOT equal to a 50% discount. When 10% off, the price was $54, bringing the next 40% off to a whole different number, not necessarily off the original price.
I don't know if that makes sense to you, sorry xD
Yes that is correctttttttttttttttt
We are given

Firstly, we can find gradient
so, we will find partial derivatives





now, we can plug point (-5,5,2)



so, gradient will be

now, we are given that
it is in direction of v=⟨−3,2,−4⟩
so, we will find it's unit vector


now, we can find unit vector

now, we can find dot product to find direction of the vector

now, we can plug values


.............Answer
The roots of the equation is x = 4.56 OR x = 0.44
<h3>Quadratic equation</h3>
From the question, we are to determine the roots of the given equation
The given equation is
x² -5x +2 = 0
Using the formula method,

In the given equation,
a = 1, b = -5, c = 2
Putting the values into the formula,



OR 
OR 
OR 
x = 4.56 OR x = 0.44
Hence, the roots of the equation is x = 4.56 OR x = 0.44
Learn more on Quadratic equation here: brainly.com/question/8649555
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<span>What is the question?
This is an example of an ideal distribution and statical preview of the sample gathered from the population. 900 samples is a great number considering the central limit theorem of 30.
This distribution could also be described as a mesokurtic and normal form of the statistical model.
Statistics. </span><span>Statistics is a branch of mathematics which is the scientific study of mathematical values pertaining to qualitative descriptions and transcribe them into quantifying values such as the descriptive statistics and infuses these quantities in the field of inferential statistics. In these two categories involve probabilities, distribution and deviations which are mainly compositions of the descriptive statistics. Inferential statistics will involve comparison and variation of the given values. Methods are t-test, analysis of variance, and two-way analysis of variance and other methods. </span>