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skad [1K]
4 years ago
12

Jennifer is playing with a die that has six faces. What is the likelihood that she will roll a four?

Mathematics
2 answers:
Ymorist [56]4 years ago
7 0
The likely hood would be1 out of 6
oee [108]4 years ago
4 0
If the mass of the die is evenly distributed, then the P = 1/6
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I think number 9 is b or c, i don't know what 10 is. please help me!!!
scoray [572]
10 is letter b. I hope this helps!!!
7 0
4 years ago
Find the values of x and y, write your answer in simplest form.
tamaranim1 [39]

Answer:

Step-by-step explanation:

You have a 30-60-90 triangle. The sides of a 30-60-90 are in the ratio 1:√3:2.

The side opposite the 30° angle is 5, so the side opposite the 60° angle is 5√3, and the side opposite the 90° angle is 5×2 = 10.

x = 5√3

y = 10

3 0
3 years ago
An ice cream shoppe charges $1.19 for a scoop of ice cream and $0.49 for each topping. Jeb paid $4.55 for a three scoop sundae.
AysviL [449]
He bought 3 scoops, each costing $1.19
The cost of the three scoops= 3*1.19= $3.57

Total cost of scoops and toppings is $4.55
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Each topping costs $0.49

Therefore number of toppings bought= 0.98/0.49= 2

Answer: 2 toppings

3 0
4 years ago
Let P = 0.50.30.50.7 be the transition matrix for a Markov chain with two states. Let x0 = 0.50.5 be the initial state vector fo
pav-90 [236]

Answer:

Probability distribution vector = \left(\begin{array}{c}0.375\\ 0.625 \end{array} \right)

Step-By-Step Explanation

If P=\left(\begin{array}{cc}0.5&0.3\\ 0.5&0.7 \end{array} \right)  is the transition matrix for a Markov chain with two states.  

x_{0}=\left(\begin{array}{c}0.5\\ 0.5 \end{array} \right)  be the initial state vector for the population.

X_{1}=P x_{0}=\left(\begin{array}{cc}0.5&0.3\\ 0.5&0.7 \end{array} \right) \left(\begin{array}{c}0.5\\ 0.5 \end{array} \right) =\left(\begin{array}{c}0.4\\ 0.6 \end{array} \right)  

X_{2}=P^{2} x_{0}=\left(\begin{array}{c}0.38\\ 0.62 \end{array} \right)  

X_{3}=P^{3} x_{0}=\left(\begin{array}{c}0.38\\ 0.62 \end{array} \right)  

X_{30}=P^{30} x_{0}=\left(\begin{array}{c}0.37499\\ 0.625 \end{array} \right)  

In the long run, the probability distribution vector Xm approaches the probability distribution vector \left(\begin{array}{c}0.375\\ 0.625 \end{array} \right) .

This is called the steady-state (or limiting,) distribution vector.

4 0
3 years ago
WILL MARK BRAINLIEST!<br><br> Given: Parallelogram ABCD, calculate the length of AD
frez [133]
Your answer would be 20.6
5 0
3 years ago
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