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Olin [163]
3 years ago
8

Does anybody know how to fill in all the boxes?

Mathematics
1 answer:
s344n2d4d5 [400]3 years ago
6 0

Answer:

Step-by-step explanation:

# angle ABC is congruent to angle DEF which’s given

# angle GHI is congruent to DEF which’s given

#angle DEF is congruent to DEF / symmetric property

# angle ABC is congruent to GHI / transitive property

(ABC+DEF=DEF+GHI)

- SUBTRACT DEF from both sides

ABC=GHI

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Am i correct pls help
a_sh-v [17]

Answer:

yea ur correct

Step-by-step explanation:

use PhotoMath or something like that to check next time, it'll save a lot of time

6 0
3 years ago
Click on the measure of the triangle.
Molodets [167]

Answer:

a

Step-by-step explanation:

because a

4 0
3 years ago
Read 2 more answers
Please help. I’ll mark you as brainliest if correct!
11111nata11111 [884]

Answer:

50 miles

Step-by-step explanation:

See the step-by-step solution in the picture attached below.

I hope this answer will help you. Have a nice day !

4 0
3 years ago
g 78% of all Millennials drink Starbucks coffee at least once a week. Suppose a random sample of 50 Millennials will be selected
Tatiana [17]

Answer:

We know that n = 50 and p =0.78.

We need to check the conditions in order to use the normal approximation.

np=50*0.78=39  \geq 10

n(1-p)=50*(1-0.78)=11 \geq 10

Since both conditions are satisfied we can use the normal approximation and the distribution for the proportion is given by:

p \sim N (p, \sqrt{\frac{p(1-p)}{n}})

With the following parameters:

\mu_ p = 0.78

\sigma_p = \sqrt{\frac{0.78*(1-0.78)}{50}}= 0.0586

Step-by-step explanation:

Previous concepts

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

Solution to the problem

We know that n = 50 and p =0.78.

We need to check the conditions in order to use the normal approximation.

np=50*0.78=39  \geq 10

n(1-p)=50*(1-0.78)=11 \geq 10

Since both conditions are satisfied we can use the normal approximation and the distribution for the proportion is given by:

p \sim N (p, \sqrt{\frac{p(1-p)}{n}})

With the following parameters:

\mu_ p = 0.78

\sigma_p = \sqrt{\frac{0.78*(1-0.78)}{50}}= 0.0586

6 0
3 years ago
What is the quotient of 13 divided by 8
Masteriza [31]
1.625 or/and 13/8 should be your answer
8 0
2 years ago
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