Answer:
Answer 39
Step-by-step explanation:
Ok So, What you do first it to input the value of x
x=9
1. 9/3 + 4x9
Then after you input the values you solve
2. 3+36
Then You Add
3. 39
Hope This Gets All Your Doubts Away :D
Answer: 545,846,230
Step-by-step explanation: To round 545,846,229 to the nearest ten, we first find the digit in the rounding place which in this case is 2 in the tens place.
Next, look at the digit to the right of the rounding place which in this case is 9. The rules of rounding tell us that if the digit to the right of the rounding place is less than 5, we round down but if the digit to the right of the rounding place is greater than or equal to 5, we round up.
In this problem, since 9 is greater than or equal to 5, we round up. This means we add 1 to the digit in the rounding place so 2 becomes 3 and we change all digits to the right of the rounding place to 0.
Therefore, 545,846,229 rounded to the nearest 10 is 545,846,230.
Answer:
C
Step-by-step explanation:
First, Karen only has $20, so her spending cannot go over this amount. That would would that she can spend exactly $20 or less than $20. We need a equal to/less than sign before $20, so answer choices A and D can easily be eliminated.
Next, the admission costs $6. This is a cost that Karen will only pay one time, so it's represented by + 6. This eliminates B, but I will still explain why C is completely correct.
Each ride costs $2, meaning that we can represent this amount with 2x, which is just $2 times the amount of rides she will go on. When fully written out, the inequality is 2x + 6 (less than or equal to sign) 20, making C the correct answer.
Answer:
15 cars
Step-by-step explanation:
240-30=210
210/14=15 cars
Answer: Option(c) is correct.
Step-by-step explanation:
Data engineering is a set of guidelines and approaches that characterize the kind of information gathered and how it is put away and utilized.
The Data engineering includes the means, for example, gathering of data, storage of information in the databases and access the information at whatever point required.
So,data engineering refers to information storage, database plan and information structures.
Consequently Data quality isn't clarified in Data engineering.
