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3 years ago

<1 and <2 are a linear pair and m<1 = 51°. Find m<2.

Mathematics

1 answer:

12345 [234]3 years ago

7 0

Answer:

its 129

Step-by-step explanation:

just subtract 51 from 180 so like 180-51

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If a rectangular poster has an area of

d1i1m1o1n [39]

$2x ^2 - 9x + 10=\\
2x^2-4x-5x+10=\\
2x(x-2)-5(x-2)=\\
(2x-5)(x-2) \Rightarrow C$

8 0

3 years ago

Evaluate the expression \dfrac{x^5}{x^2} x 2 x 5 start fraction, x, start superscript, 5, end superscript, divided by, x, squa

Elza [17]

Answer:

Step-by-step explanation:

Fill in the variable value and do the arithmetic.

$\dfrac{2^5}{2^2}=\dfrac{32}{4}=8$

___

Of course, the fraction can be simplified first:

$\dfrac{x^5}{x^2}=x^{5-2}=x^3\\\\2^3=8$

7 0

3 years ago

A line that includes the points ( - 1,u) and ( - 2,5) has a slope of - 8. What is the value of u

Andreas93 [3]

U is 6 that is the final answer

5 0

3 years ago

I put in 6.32 for A but it’s still saying it’s wrong and I need the √ , I only need to answer this right to pass my summer schoo

jeka57 [31]

Answer:

A = 2 (on the left). 10 (on the right)

Step-by-step explanation:

Use pythgaros therom

Do 7^2 - 3^2 = 40

Do square root of 40 which equals the answer

7 0

3 years ago

Suppose that the weights of airline passenger bags are normally distributed with a mean of 47.88 pounds and a standard deviation

Leto [7]

Answer:

There is a 24.51% probability that he weight of a bag will be greater than the maximum allowable weight of 50 pounds.

Step-by-step explanation:

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by

$Z = \frac{X - \mu}{\sigma}$

After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X. The sum of the probabilities is decimal 1. So 1-pvalue is the probability that the value of the measure is larger than X.

In this problem

Suppose that the weights of airline passenger bags are normally distributed with a mean of 47.88 pounds and a standard deviation of 3.09 pounds, so $\mu = 47.88, \sigma = 3.09$