The sample space of the experiment is the elements in the set
The sample space {Head, Tail} and there are 2 outcomes in the sample space
<h3>How to determine the sample space?</h3>
From the complete question, the experiment is a toss of a coin
A coin has a head and a tail.
So, the sample space (S) is:
S= {Head, Tail}
The number of outcomes in the above sample space is 2
Hence, the sample space {Head, Tail} and there are 2 outcomes in the sample space
Read more about sample space at:
brainly.com/question/2117233
If I’m pretty sure I think none of these choices are correct. One politics came to rise later in American history. Second, voting rights for women came into the picture much later than early colonial times. Third, also many people during the colonial times owned slaves. So yeah.....
As the concentration of a solute in a solution increases, the freezing point of a solution decreases and the vapor pressure of the solution decreases.
Answer:
i serarched for this question and this is what i got
Explanation:
In this question the choices are missing, the choices of this question are:
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The result of computational thinking is a problem broken down into its parts to create a generalized model and possible solutions
- Computational thinking involves the techniques of decomposition, pattern recognition, abstraction, and algorithm development.
- Computational thinking is basically synonymous with programming.
- Computational thinking is a set of techniques used to help solve complex problems or understand complex systems
- Understanding all of the minor details about a problem is critical in computational thinking
<u>The correct 3 choices about computational thinking that are true are given below:</u>
1.The result of computational thinking is a problem broken down into its parts to create a generalized model and possible solutions.
2. Computational thinking involves the techniques of decomposition, pattern recognition, abstraction, and algorithm development.
4. Computational thinking is a set of techniques used to help solve complex problems or understand complex systems.
