Hi!
In this question, you would first solve both equations, and then find the graph that best applies both of them.
To solve 3-x is greater then or equal to 2, you would add the x and subtract the 2, leaving you with 1 is greater than equal to x.
To solve 4x+2 is greater than or equal to 10, you would first subtract the 2 and then divide by 4, leaving you with x is greater than or equal to 2.
Our two equations are x is greater than or equal to 2, and 1 is greater equal to x, or 2 is smaller than or equal to x which is smaller than or equal to 1.
The graph that matches this compound equation is C.
It would be A. because c represents the #9, (which is smallest), a represents 16 (second smallest), and b represents 18(third smallest)
You want log √(9/25). Recognizing that √9 = 3 and that √25 = 5, we get
log 3/5, which by rules of logs comes out to log 3 - log 5.
To four decimal places:
log 3 - log 5 = 0.4771 - 0.6990, or -0.2218.
Answer:
1/(5^12 * 32^3 * 9^15)
Step-by-step explanation:
5^-12 = 1/(5^12)
32^-3 = 1/(32^3)
9^-15 = 1/(9^15)
1/(5^12) * 1/(32^3) * 1/(9^15) = 1/(5^12 * 32^3 * 9^15)
Answer:
Bias is the difference between the average prediction of our model and the correct value which we are trying to predict and variance is the variability of model prediction for a given data p[oint or a value which tells us the spread of our data the variance perform very well on training data but has high error rates on test data on the other hand if our model has small training sets then it's going to have smaller variance & & high bias and its contribute more to the overall error than bias. If our model is too simple and has very few parameters then it may have high bias and low variable. As the model go this is conceptually trivial and is much simpler than what people commonly envision when they think of modelling but it helps us to clearly illustrate the difference bewteen bias & variance.
