Answer:
just use symbola
and place the two things you have
Step-by-step explanation:
i use it alot it helps you understand the y-intercept and x-intercept and ou can zoom in and zoom out also you can mark the ponts and change the line to make it a different color
Answer:
C. 150
Step-by-step explanation:
The number of people who took the test is unknown, so call it x.
34% of x liked the flavor.
51 people liked the flavor.
That means that 34% of x is equal to 51.
34% of x = 51
0.34x = 51
x = 51/0.34
x = 150
Answer: C. 150
Answer:
A composite number has more than two factors. In this case, the number 13233345364715 has more than two factors, so it is composite.
Step-by-step explanation:
Numbers can be classified as prime or composite. Prime numbers have only two factors, 1 and the number itself. For example, 13 is a prime number because only 1 and 13 can be multiplied together to get 13. However, a composite number has more than two factors. In the case of the numer 13233345364715, I know that there are more than two factors because the number ends in 5, which means it has a factor of 5. To confirm, divide 13233345364715/5 = 2646669072943. This large of a number may also have other factors, however, since you now know it has at least four factors, it is composite.
Answer:
Midpoint (-2,4)
distance nearest tenth = 8.9
The approximate distance = 9
Step-by-step explanation:
Formulas
PQ midpoint = (x2 + x1)/2, (y2 + y1)/2
distance d = sqrt( (x2 - x1)^2 + (y2 - y1)^2 )
Givens
x2 = -4
x1 = 0
y2 = 1
y1 = 7
Solution
M(PQ) = (-4+0)/2, (1 + 7)/2
M(PQ) = -2, 4
The midpoint is -2,4
The distance = sqrt( (4 - 0)^2 + (1 + 7)^2 )
The distance = sqrt(16 + 64)
The distance = sqrt(80)
The distance = 4√5 exactly
The distance = 8.94
The distance = 8.9 To the nearest tenth
Question 2
The distance is rounded to the nearest whole number which is 9.
Answer:
the empirical probability , relative frequency ,or experimental probability of an event is the ratio of the number of outcomes in which a specified even occurs to the total number of trials , not in a theoretical sample space but in an actual experiment.
Step-by-step explanation:
