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Elan Coil [88]
2 years ago
15

Just the top one!!! please help and show work please

Mathematics
1 answer:
Harrizon [31]2 years ago
8 0

Answer:

HEY GIRLY

Step-by-step explanation:

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Given the following triangle, if a = 2 and b = 3, find c.<br> √5<br> √10<br> √13
Tems11 [23]
We can use pythagorean theorem:

a^2 + b^2 = c^2

4 + 9 = c^2

13 = c^2

sqrt of 13 = c

Hope this helps!
4 0
3 years ago
Read 2 more answers
Lucy scored 65 points in a game. Eva scored e points in the same game
kondor19780726 [428]
I guess you need to find what E is, though sadly this isnt enough information to me....
6 0
3 years ago
What is the value of h in the figure below? In this diagram, /\BAD ~ /\CBD.
dusya [7]

Answer:

12

Step-by-step explanation:

(25-16) / h = h / 16

9/h = h/16

=144 ( 9 x 16)

h₂ = 144

h= square root 144

h= 12

3 0
2 years ago
A company has developed a new ink-jet cartridge for its printer that it believes has a longer life-time on average than the one
Mila [183]

Answer:

The test hypothesis is :

H_0: \mu=1502.5\\ H_a: \mu>1502.5

Step-by-step explanation:

Consider the provided information.

Null hypothesis refer the population parameter is equal to the claimed value.

If there is no statistical significance in the test then it is know as the null which is denoted by H_0, otherwise it is known as alternative hypothesis which denoted by H_a.

The historical average lifetime for cartridges produced by the current process is 1502.5 pages.

Hence, the test hypothesis is :

H_0: \mu=1502.5\\ H_a: \mu>1502.5

6 0
3 years ago
The proportion of U.S. births that result in a birth defect is approximately 1/33 according to the Centers for Disease Control a
Dafna11 [192]

Answer:

Probability that at least 490 do not result in birth defects = 0.1076

Step-by-step explanation:

Given - The proportion of U.S. births that result in a birth defect is approximately 1/33 according to the Centers for Disease Control and Prevention (CDC). A local hospital randomly selects five births and lets the random variable X count the number not resulting in a defect. Assume the births are independent.

To find - If 500 births were observed rather than only 5, what is the approximate probability that at least 490 do not result in birth defects

Proof -

Given that,

P(birth that result in a birth defect) = 1/33

P(birth that not result in a birth defect) = 1 - 1/33 = 32/33

Now,

Given that, n = 500

X = Number of birth that does not result in birth defects

Now,

P(X ≥ 490) = \sum\limits^{500}_{x=490} {^{500} C_{x} } (\frac{32}{33} )^{x} (\frac{1}{33} )^{500-x}

                 = {^{500} C_{490} } (\frac{32}{33} )^{490} (\frac{1}{33} )^{500-490}  + .......+ {^{500} C_{500} } (\frac{32}{33} )^{500} (\frac{1}{33} )^{500-500}

                = 0.04541 + ......+0.0000002079

                = 0.1076

⇒Probability that at least 490 do not result in birth defects = 0.1076

4 0
2 years ago
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