If the measure of is 232°, what is the measure of ∡DEF?.

1 answer:

riadik2000 [5.3K]3 years ago

3 0

To answer this specific problem, the measure of ∡DEF is 64. I am hoping that this answer has satisfied your query and it will be able to help you in your endeavor, and if you would like, feel free to ask another question.

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Evaluate each expression for r=9 n t=14 enter in your numerical answer

Neko [114]

Answer:

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Step-by-step explanation:

$from \: the \: question \: rt {}^{2} \\ were \: r =9 \\ and \: t = 14 \\ rt {}^{2} = 9 \times (14) {}^{2} = 9 \times 196 = 1764$

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A card is drawn from a standard deck of 52 cards. Find the probability of drawing red card or a face card

nata0808 [166]

Answer:

12/104 or around 11% chance

Step-by-step explanation:

This is because there is a total of 26 red cards (1/2) and a total of 12 face cards (12/52). So, you multiply 1/2 x 12/52 and get 12/104 or around 11% chance

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dybincka [34]

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Step-by-step explanation:

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The fraction 7/9 produces a repeating decimal<br> 0.7<br> A. true<br> B. false

Elis [28]

Answer:

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Step-by-step explanation:

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3 years ago

Captain Ben has a ship, the H.M.S Crimson Lynx. The ship is five furlongs from the dread pirate Luis and his merciless band of t

grigory [225]

Answer:

We can see that this is dependent probability. We can find dependent probability of happening event A then event B by multiplying probability of event A by probability of event B given that event A already happened.

Step-by-step explanation:

In our case event A is pirate hitting captain's ship and event B is captain missing pirate's ship. We have been given that pirate shoots first so pirate's ship can't be hit before pirate shoots his cannons. So probability of hitting captain's ship is 1/3. We have been given that if Captain Ben's ship is already hit then Captain Ben will always miss. So the probability of Captain missing the dread pirate's ship given the pirate Luis hitting the Captain ship is 1. Now to find probability that pirate hits Captain, but Captain misses we will multiply our both probabilities.

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