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Flura [38]
3 years ago
15

If you know two figures are congruent, then what would be true about all of the corresponding parts of the two figures?

Mathematics
1 answer:
Tanya [424]3 years ago
3 0

Answer:

if their corresponding sides are equal in length, and their corresponding angles are equal in measure.

Step-by-step explanation:

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1,200 students registered for an art camp. 945 students showed up. calculate the precent error
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Answer:

255

Step-by-step explanation:

1200-945 is 255

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MA = 8x – 2, mB = 2x – 8, and mC = 94 – 4x. List the sides of ABC in order from shortest to longest.
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Triangle ABC, with vertices A(5,2), B(7,6), and C(2,5), is drawn inside a rectangle, as shown below.
natka813 [3]

Answer:

9 units²

Step-by-step explanation:

calculate the area of Δ ABC as

area of rectangle - area of 3 outer right triangles

area of rectangle = 5 × 4 = 20 units²

area of left Δ = \frac{1}{2} × 3 × 3 = 4 \frac{1}{2} units²

area of Δ on right = \frac{1}{2} × 2 × 4 = 4 units²

area of top Δ = \frac{1}{2} × 5 × 1 = 2\frac{1}{2} units²

Then

area of Δ ABC = 20 - 4 \frac{1}{2} - 4 - 2 \frac{1}{2} = 20 - 11 = 9 units²

8 0
1 year ago
The circumference of a circle is 56.52 feet. What is the circle's radius?
matrenka [14]

Answer:

If we substitute pi as 3.14 we would be doing -

56.52/3.14 = 18

18/2 = 9.

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7 0
3 years ago
(a) A lamp has two bulbs of a type with an average lifetime of 1600 hours. Assuming that we can model the probability of failure
lara [203]

Complete Question

The complete question is shown on the first uploaded image

Answer:

a

The probability is P_T= 0.4560

b

The probability is P_F= 0.0013

Step-by-step explanation:

From the question we are told that

The mean for the exponential density function of bulbs failure is \mu = 1600 \ hours

Generally the cumulative distribution for exponential distribution is mathematically represented as

       1 - e^{- \lambda x}

The objective is to obtain the p=probability of the bulbs failure within 1800 hours

So for the first bulb the probability will be

        P_1(x < 1800)

 And for the second bulb the probability will be

       P_2 (x< 1800)

So from our probability that we are to determine the area to the left of 1800 on the distribution curve

    Now the  rate parameter  \lambda is mathematically represented as

                           \lambda = \frac{1}{\mu}

                          \lambda = \frac{1}{1600}

The probability of the first bulb failing with 1800 hours is mathematically evaluated as

                   P_1(x < 1800) = 1 - e^{\frac{1}{1600} * 1800 }

                                        = 0.6753

Now the probability of both bulbs failing would be

              P_T=P_1(x < 1800) * P_2(x < 1800)

           = 0.6375 * 06375

           P_T= 0.4560

Let assume that one bulb failed at time T_a and the second bulb failed at time T_b  then

                 T_a + T_b = 1800\ hours

The mathematical expression to obtain the probability that the first bulb failed within between zero and T_a and the second bulb failed between T_a \ and \  1800 is represented as

             P_F=\int_{0}^{1800}\int_{0}^{1800-x} \f{\lambda }^{2}e^{-\lambda x}* e^{-\lambda y}dx dy

            =\int_{0}^{1800} {\lambda }e^{-\lambda x}\int_{0}^{1800-x} {\lambda } e^{-\lambda y}dx dy

            =\int_{0}^{1800} {\frac{1}{1600} }e^{-\lambda x}\int_{0}^{1800-x} \frac{1}{1600 } e^{-\lambda y}dx dy

          =\int_{0}^{1800} {\frac{1}{1600} }e^{-\lambda x}[e^{- \lambda y}]\left {1800-x} \atop {0}} \right. dx        

          =\int_{0}^{1800} {\frac{1}{1600} }e^{-\frac{x}{1600} }[e^{- \frac{1800 -x}{1600} }-1] dx

            =[ {\frac{1}{1600} }e^{-\frac{1800}{1600} }-\frac{1}{1600}[e^{- \frac{x}{1600} }] \left {1800} \atop {0}} \right.

           =[ {\frac{1}{1600} }e^{-\frac{1800}{1600} }-\frac{1}{1600}[e^{- \frac{1800}{1600} }] -[[ {\frac{1}{1600} }e^{-\frac{1800}{1600} }-\frac{1}{1600}[e^{-0}]

           =[\frac{1}{1600} e^{-\frac{1800}{1600} } - \frac{1}{1600} e^{-0}  ]

         =0.001925 -0.000625

         P_F= 0.0013

4 0
3 years ago
Read 2 more answers
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