Answer:
C. x > 3
Step-by-step explanation:
As long as you don't multiply or divide by any negative numbers*, <em>you can solve this the same way you would an equation</em>.
3x +2 > x +8
3x > x +6 . . . . . . subtract 2
2x > 6 . . . . . . . . subtract x
x > 3 . . . . . . . . . .divide by 2; matches choice C
_____
* The complete rule is "as long as you don't use any order-changing operations, ...". There are some functions you can apply to both sides of the inequality that will change the ordering. Multiplication or division by a negative number is only one of many.
1 < 2
-1 > -2 . . . . . multiplication by -1 reverses the order
It's 20. You start with the parentheses and 8 + 12 is 20. Then you have the brackets next, and so that's 20/4 and that's 5. Then all you have left is 4 x 5 which is 20.
Answer: 6 jars
Step-by-step explanation:
7 goes into 45 6 times with 3 flowers left ove.
Answer:
160
Step-by-step explanation:
5x-10+12x=16x
17x-16x=10
x= 10
exterior angle at C = 16x= 16×10 = 160°
Answer:
I believe it is 0.5
Step-by-step explanation:
If you flip a normal coin (called a “fair” coin in probability parlance), you normally have no way to predict whether it will come up heads or tails. Both outcomes are equally likely. There is one bit of uncertainty; the probability of a head, written p(h), is 0.5 and the probability of a tail (p(t)) is 0.5. The sum of the probabilities of all the possible outcomes adds up to 1.0, the number of bits of uncertainty we had about the outcome before the flip. Since exactly one of the four outcomes has to happen, the sum of the probabilities for the four possibilities has to be 1.0. To relate this to information theory, this is like saying there is one bit of uncertainty about which of the four outcomes will happen before each pair of coin flips. And since each combination is equally likely, the probability of each outcome is 1/4 = 0.25. Assuming the coin is fair (has the same probability of heads and tails), the chance of guessing correctly is 50%, so you'd expect half the guesses to be correct and half to be wrong. So, if we ask the subject to guess heads or tails for each of 100 coin flips, we'd expect about 50 of the guesses to be correct. Suppose a new subject walks into the lab and manages to guess heads or tails correctly for 60 out of 100 tosses. Evidence of precognition, or perhaps the subject's possessing a telekinetic power which causes the coin to land with the guessed face up? Well,…no. In all likelihood, we've observed nothing more than good luck. The probability of 60 correct guesses out of 100 is about 2.8%, which means that if we do a large number of experiments flipping 100 coins, about every 35 experiments we can expect a score of 60 or better, purely due to chance.