Answer:
A is false, the rest are true.
Whats 2x(4+5x)
If the x was 5.
Answer: 290
Step-by-step explanation:
Plug in the value 5 for x
2(5) (4+5(5))
Then use PEMDAS to solve:
P - parentheses (Multiple then add)
5(5)=25
4+25=29
M - multiple
2(5)=10
10 (29) = 290
Answer:
THE ANSWER IS 58
Step-by-step explanation:
Graphing Coordinates
I already have the numbers just please put them on the graph that’s all!
I’ve been so stressed this will help so much
Can someone answer this and give an explanation
Math for the smart people
Point A is located at (-2, 4). After it is transformed, point A' is located at (2, 4). What could the transformation be?
1. A reflection in the y-axis
2. A translation 4 units to the right
3. A rotation of 90° around the origin
4. A translation 4 units up
please look at answer is attched
Daily Math Question
You can identify sample spaces for compound events using organized lists, tables, and tree diagrams. Which of the three methods do you find easiest to use? Which method is the most helpful? Why?
What is the definition of the Fundamental Counting Principle? What does this principle state? How can the principle be used to help you identify a sample space for a compound event? What are the limitations of using the Fundamental Counting Principle when determining the probability of an outcome? Support your answers with an example.
Answer:
The fundamental counting principle is used to count the total number of possible outcomes that are in a situation.
What does the fundamental counting principle state?
The fundamental counting principle states that if there are n ways of doing something, as well as m ways of doing another thing, then there are n×m ways to perform both of these actions.
The Fundamental Counting Principle helps when determining the sample space of probability as it figures out the total number of ways the combination of events can occur. Therefore, it is used as a guide when determining the sample space of a probability.
Lastly, the limitation is that the Fundamental Counting Principle is that it assumes that each basic event is equally probable, which does not necessarily have to be true.