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azamat
3 years ago
10

Ive been trying to solve this problem for forever!!! Pls help

Mathematics
1 answer:
qwelly [4]3 years ago
4 0

For the function to be continuous at any x-value you need the left-hand limit to match the right-hand limit to match the function's value at that x-value.

For example, for the function to be continuous at x=2:

\lim_{x \to 2^-} \dfrac{x^2-4}{x-2} must equal \lim_{x \to 2^-} \left(ax^2 - bx-16 \right)

This must also equal f(2) = a(2)^2 -b(2)-16  or f(2) = 4a-2b-16.

So start by finding the first limit that has no a's or b's in it and set that equal to 4a-2b-16.

The problem is that this is only one equation and there are two variables, so we need a second equation to set up to be able to solve for a and b.

So, you need to repeat that whole process with the pieces on either side of x=3.  We need to have:

      \lim_{x \to 3^-} \left(ax^2-bx-16\right) =  \lim_{x \to 3^+} \left(10x -a+b \right) = f(3)

That will give you a second equation with a's and b's.  Once you have that, you'll have a system which you can solve using substitution or elimination.

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3 years ago
The number of chocolate chips in a bag of chocolate chip cookies is approximately normally distributed with a mean of 1262 chips
Sholpan [36]

Answer:

Using z score formula:

X = z ∂ + µ

 = 157.833

Step-by-step explanation:

Solution:

Mean = µ = 1262

Standard deviation = ∂ = 117

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P( z < z) = 28%

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P( z<- 0.58)  = 0.28

Z = -0.58

By using z score formula:

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X = (- 0.58)(117) + (1262)

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(b) Middle 97% of bag.

P(-z < z < z) = 97%

                    = 0.97

P( z < z) – p(z < -z) = 0.97

2p(z < z) -1 = 0.97

2p (z < z) = 1 + 0.97

P(z < z) = 1.97 / 2

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P(z < 2.33) = 0.99

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By using z score formula:

Z = x - µ / ∂

X = z ∂ + µ

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(c) What is the interquartile range of the number of chocolate chips in a bag of chocolate.

By using standard normal table,

The z dist’n formula:

P(z < z ) = 25%

            =0.25

P(z < -0.6745) = 0.25

Z = 0.6745

Using z score formula:

X = z∂ + µ

   = - 0.6745 x 117 + 1262

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The third quartile is:

P(z<z) = 75%

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P(z < 0.6745) = 0.75

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Using z score formula:

X = z ∂ + µ

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= 1340.9165

IQR = Q3 – Q1

     = 1340.9165 – 1183.0835

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