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OverLord2011 [107]
3 years ago
14

Which of the following can be used to evaluate the series 224)***,

Mathematics
1 answer:
Veronika [31]3 years ago
8 0

Answer:

442

Step-by-step explanation:

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HOW MANY SOLUTIONS DOES THIS SYSTEM HAVE<br> A: None<br> B: 1<br> C: 2<br> D: Infinitely many
Nitella [24]

Answer:

None

Step-by-step explanation:

The solution would be wherever the lines intersect, since they don't, there is no answer.

8 0
2 years ago
there is sales tax of $9.00 on an item t that cost 120.00 before tax. the sales tax on a different item is 19.05. how much does
Luda [366]
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4 0
3 years ago
please answer quickly First to answer quickly will be marked the brainiest and get 50 points. the question is in the image below
Bas_tet [7]
Whole number is 3
Integer but not whole is 1/2
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Irrational Number is 89/10
4 0
3 years ago
How might you solve a problem that has both a fraction and a decimal in it
Anni [7]
Well, one way is to convert one of the numbers to the other. For example, if I have 3/5 and 0.5, I could convert 3/5 to a decimal. So, I would have 0.6 (3/5 converted to a decimal), and 0.5. Next, I would just add the two together to get my answer of 1.1
5 0
3 years ago
.For small training sets variance may contribute more to the overall error than bias. Sometimes this is handled by reducing the
Ymorist [56]

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.

3 0
2 years ago
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