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ser-zykov [4K]
3 years ago
11

A date in September is chosen at random. What is the probability of choosing an even number or a multiple of 5?

Mathematics
1 answer:
Galina-37 [17]3 years ago
7 0

Answer:

50 percent

Step-by-step explanation:

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Please help need quickly
podryga [215]

Answer:  approximately 311 feet

I rounded to the nearest whole number since the other given values are whole numbers. The more accurate value is roughly 310.825323188148 feet.

=========================================================

Explanation:

Refer to the diagram below. When using the 47 degree as the reference angle, we know that,

  • opposite side = x
  • hypotenuse = 325

We can say:

sin(angle) = opposite/hypotenuse

sin(47) = x/425

425*sin(47) = x

x = 425*sin(47)

x = 310.825323188148

x = 311

The kite is approximately 311 feet off the ground.

6 0
3 years ago
Which function is represented by the graph
fiasKO [112]

Answer:

Step-by-step explanation:The answer is C

6 0
3 years ago
17+36=z-37 what is z
sp2606 [1]

Answer:

The correct answer is 90

Step-by-step explanation:

17 + 36= z- 37   ADD 17 AND 36

53= z-37        BRING 37 OVER TO 53 AND ADD

z = 90           FINAL ANSWER

8 0
3 years ago
The batteries produced in a manufacturing plant have a mean time to failure of 30 months with a standard deviation of 2 months.
kompoz [17]

Answer:

By the Central Limit Theorem, the sampling distribution is approximately normal, with mean 30 and standard deviation 0.1.

Step-by-step explanation:

Central Limit Theorem

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 a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

The batteries produced in a manufacturing plant have a mean time to failure of 30 months with a standard deviation of 2 months.

This means that \mu = 30, \sigma = 2

Sample of 400 batteries. The sampling distribution of is approximately:

So n = 400, s = \frac{\sigma}{\sqrt{n}} = \frac{2}{\sqrt{400}} = 0.1

By the Central Limit Theorem, the sampling distribution is approximately normal, with mean 30 and standard deviation 0.1.

6 0
3 years ago
Which two doesn’t belong? PLEASE HELP!! I will give a thanks!!!
stich3 [128]
The 2 blue parallel lines because they are parallel :)
4 0
3 years ago
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