With scientific notation remember this rule; if the exponent is positive, move the decimal point that many places to the right. If it is negative move it that many places to the left. What that will do is make the number larger or smaller to the correct value.
So for example, if you had to solve 1.02 x 10^4 you would move the decimal four places to the right. So you would end up with 10200.
As another example if you had to solve 1.02 x 10^-2 you would move the decimal two places to the left. That would give you .0120.
So now we are onto your problem. 2.606 x 10^7.
You would move the decimal seven places to the right, because the exponent is positive, that will make your number larger(which would make more sense if you were adding populations, right?).
That would give you 26,060,000 people living in Texas.
From there simply add the two populations together and you will have your answer!
Answer:
1. only 1 unique triangle can be made
2. only 1 unique triangle can be made
3. multiple triangles are possible
4. True
5. True
6. False
7. only 1 unique triangle can be made
8. only 1 unique triangle is possible
9. multiple triangles are possible
10. no triangle is possible
Step-by-step explanation:
Ask in comments if you got any questions.
Answer:
1560 minutes
Step-by-step explanation:
52minutes x 6 = 312minutes
312minutes x 5 = 1560 minutes
so that means, she spends 1560 minutes in class
Correlation coefficient helps us to know how strong is the relation between two variables. The strength of the model is a strong positive correlation.
<h3>What is the correlation coefficient?</h3>
The correlation coefficient helps us to know how strong is the relation between two variables. Its value is always between +1 to -1, where, the numerical value shows how strong is the relation between them and, the '+' or '-' sign shows whether the relationship is positive or negative.
- 1 indicates a strong positive relationship.
- -1 indicates a strong negative relationship.
- A result of zero indicates no relationship at all, therefore, independent variable.
Hence, the strength of the model is a strong positive correlation.
Learn more about Correlation Coefficients:
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