In geometry, the definition of a triangle is a two-dimensional closed figure with three sides. Aside from this, it is proven that the sum of the angles of a triangle is 180°. This is a triangle's innate property. Therefore, any closed shape with three sides is a triangle and it follows that the sum of the three angles is equal to 180°.
It is logical therefore, that the first step in proving this is by using the definition of a triangle.
It’s 2 and 8 as the left end of the box is Q1 and the right end of the box is Q3. I’m a little rusty on box and whisper plots but this should be correct.
The location AC + CB is mathematically given as
AC + CB= AB
This is further explained below.
<h3>What is the location AC + CB of AB ?</h3>
Because point C can be seen to be in between A and point B, the equation AC + CB must equal AB.
It is important to keep in mind that point C may be located in any part of the space between A and B; yet, the solution will still be considered to be AB in this scenario.
Again, AC + CB = AB.
In conclusion, By way of deduction: if point C is located between points A and B, then it follows that point C is situated on line AB conversely, if point C is not situated on line AB, then it cannot be located between points A and B. As a result, you are able to deduce that AB is a line and that point C is situated on it in the middle of points A and B.
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Answer:
the width is 24
Step-by-step explanation:
Answer: the probability that a randomly selected Canadian baby is a large baby is 0.19
Step-by-step explanation:
Since the birth weights of babies born in Canada is assumed to be normally distributed, we would apply the formula for normal distribution which is expressed as
z = (x - µ)/σ
Where
x = birth weights of babies
µ = mean weight
σ = standard deviation
From the information given,
µ = 3500 grams
σ = 560 grams
We want to find the probability or that a randomly selected Canadian baby is a large baby(weighs more than 4000 grams). It is expressed as
P(x > 4000) = 1 - P(x ≤ 4000)
For x = 4000,
z = (4000 - 3500)/560 = 0.89
Looking at the normal distribution table, the probability corresponding to the z score is 0.81
P(x > 4000) = 1 - 0.81 = 0.19
