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Romashka-Z-Leto [24]
2 years ago
15

I need help, please can someone help me ?

Mathematics
1 answer:
UkoKoshka [18]2 years ago
6 0
I Believe Its The Same For Both Sets Of Data.
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Nicole is 56 inches tall and has an 84 inch shadow. Julie is standing next to Nicole and has a 96 inch shadow. How tall is Julie
Natalka [10]

Answer:

56+12=68.         68 inches

Step-by-step explanation:

julie‘s shadow is 12 inches taller than Nicole’ so you would just add 12 to 56.

7 0
2 years ago
PLEASE ANSWER ASAP, THIS IS A TEST QUESTION (NO SCAM ANSWERS PLS + I WILL MARK YOU BRAINLIEST)
vfiekz [6]

Answer:

the answer for this sub-question is 43/90. This is assuming your teacher wants you to write it in fraction form. If she or he wants you to write it in decimal form, then 43/90 = 0.4778 approximately which converts to 47.78%

Answer in fraction form: 43/90

Answer in decimal form: 0.4778 (round this however you are instructed to)

Answer in percent form: 47.78% (round this however you are instructed to)

Step-by-step explanation:

8 0
2 years ago
Pls help urgently extra points and mark brainlist
Gwar [14]

Answer: 5

Step-by-step explanation: 5

6 0
2 years ago
Read 2 more answers
X + 2 = 3<br> What’s the answer
kondor19780726 [428]

Answer: x=1

Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
In Bayes Theorem, you have some starting information, then you collect some new information so that you can _______ the original
sp2606 [1]

In Bayes Theorem, apart from the already starting information, some new information so that you can update or transform the original probabilities so you now have better information.

What is Bayes Theorem?

The Bayes' theorem was named after Thomas Bayes and it is used in probability theory and statistics as one of the fundamental theorems. It estimates the likelihood of an event based on knowledge of circumstances that might be connected to it in the past.

The Formula for Bayes' Theorem

The Bayes' theorem is given as,

P(A|B) = P(A).P(B|A) / P(B)

Here, for two events A and B,

P(A|B) is the probability for likelihood of A when B is true

P(B|A) is probability for likelihood of B when A is true

P(A) is the independent probability of event A

P(B) is the independent probability of event B

Learn more about Bayes' theorem here:

brainly.com/question/17010130

#SPJ4

5 0
1 year ago
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