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Vlada [557]
3 years ago
12

Which phrase describes an unknown or changeable quantity

Mathematics
1 answer:
Scorpion4ik [409]3 years ago
6 0
The number of colors on the page, it’s doesn’t specify the number.
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Using the slot method and multiple cases, calculate the probability that you would roll 3 sixes.
kotegsom [21]

Answer:

P = 1/216

the probability that you would roll 3 sixes is 1/216

Step-by-step explanation:

For a given dice, there are six possibilities.

We have;

1,2,3,4,5,6

The probability of rolling a six(6) is;

P(6) = 1/6

Then, the probability of rolling 3 sixes is a multiple of the P(6), given as;

P = P(6) × P(6) × P(6)

P = 1/6 × 1/6 × 1/6

P = 1/216

the probability that you would roll 3 sixes is 1/216

4 0
3 years ago
Which of the following represents the characteristics of the graph of x ≥ -9?
AveGali [126]
The third one I think
7 0
3 years ago
Read 2 more answers
Please help me find the solution
tangare [24]

Answer:

22

Step-by-step explanation:

BD bisects <ABC, this means the half-line divided the angle into two equal parts.

If m<ABC is equal to 44 then m<ABD is

44/2 = 22

4 0
2 years ago
Evaluate the expression for x=5, y=-3 and z=7 *<br> 7 – 3y – 3z
kobusy [5.1K]

Answer:

-5

Step-by-step explanation:

i tried my best but this is the result

7 0
3 years ago
The time that a randomly selected individual waits for an elevator in an office building has a uniform distribution over the int
rewona [7]

Answer:

The mean of the sampling distribution of x is 0.5 and the standard deviation is 0.083.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For the population, we have that:

Mean = 0.5

Standard deviaiton = 0.289

Sample of 12

By the Central Limit Theorem

Mean = 0.5

Standard deviation s = \frac{0.289}{\sqrt{12}} = 0.083

The mean of the sampling distribution of x is 0.5 and the standard deviation is 0.083.

4 0
3 years ago
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