Answer:
The independent variable is m, while the dependent variable is t.
Step-by-step explanation:
- What is the independent variable?
An independent variable is a variable that does not rely on another variable to change its outcome. In this case, the variable 'm' does not rely on the ride's total cost.
- What is the dependent variable?
The dependent variable is a variable that depends on another variable to give its amount. In this case, 't' is the dependent variable, because it depends on how many miles were driven, in order to provide the correct answer.
- Write an equation representing this relationship:
t = $6 + ($1.50 x m)
- Complete the table to show the total cost for riding 3 to 10 miles:
3 miles: t = $6 + ($1.50 x m) or $10.50 = $6 + ($1.50 x 3)
4 miles: t = $6 + ($1.50 x m) or $12 = $6 + ($1.50 x 4)
5 miles: t = $6 + ($1.50 x m) or $13.50 = $6 + ($1.50 x 5)
6 miles: t = $6 + ($1.50 x m) or $15 = $6 + ($1.50 x 6)
7 miles: t = $6 + ($1.50 x m) or $16.50 = $6 + ($1.50 x 7)
8 miles: t = $6 + ($1.50 x m) or $18 = $6 + ($1.50 x 8)
9 miles: t = $6 + ($1.50 x m) or $19.50 = $6 + ($1.50 x 9)
10 miles: t = $6 + ($1.50 x m) or $21 = $6 + ($1.50 x 10)
The perimeter is 64 yards.
Answer:
B
Step-by-step explanation:
Prime Factorization involves breaking down a number into prime numbers (aka numbers that can only be divided by itself and 1)
36
9 x 4
(3x3) x (2x2)
Hope that helps!
B) the food court and the boutique. &
C) the toy store and the electronics store
Answer:
The expected value of the game to the player is -$0.2105 and the expected loss if played the game 1000 times is -$210.5.
Step-by-step explanation:
Consider the provided information.
It is given that if ball lands on 29 players will get $140 otherwise casino will takes $4.
The probability of winning is 1/38. So, the probability of loss is 37/38.
Now, find the expected value of the game to the player as shown:
![E(x)=(140)\times \frac{1}{38}+(-4)\times \frac{37}{38}](https://tex.z-dn.net/?f=E%28x%29%3D%28140%29%5Ctimes%20%5Cfrac%7B1%7D%7B38%7D%2B%28-4%29%5Ctimes%20%5Cfrac%7B37%7D%7B38%7D)
![E(x)=\frac{140-148}{38}](https://tex.z-dn.net/?f=E%28x%29%3D%5Cfrac%7B140-148%7D%7B38%7D)
![E(x)=\frac{-8}{38}=-$0.2105](https://tex.z-dn.net/?f=E%28x%29%3D%5Cfrac%7B-8%7D%7B38%7D%3D-%240.2105)
Hence, the expected value of the game to the player is -$0.2105.
Now find the expect to loss if played the game 1000 times.
1000×(-$0.2105)=-$210.5
Therefore, the expected loss if played the game 1000 times is -$210.5.