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ollegr [7]
3 years ago
12

The probability distribution for a random variable x is given in the table Find the probability that X<=20

Mathematics
2 answers:
Eddi Din [679]3 years ago
5 0

Answer:

1

Step-by-step explanation:

It's right for accelus

ikadub [295]3 years ago
4 0

Answer:

1

Step-by-step explanation:

I guessed on the problem and it was right

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Which are true and which are false? 2+5=8-1. 4+2=9-1. 13-0=12+1
stiks02 [169]

Hi there,

I believe there are 3 questions.

  1. 2+5=8-1 It is true because 2+5 is 7 and 8-1 is 7. So, both sides have same value which means they are equal.
  2. 4+2=9-1 It is false because 4+2 is 6 and 9-1 is 8. So, the values are different.
  3. 13-0=12+1 It is true because 13-0 is 13 and 12+1 is 13. Both values are same. Therefore, they are equal.

Hope it helps :-)

4 0
3 years ago
On a winter's morning, the temperature was 0°F. The temperature increased during the daytime. At night, the temperature decrease
Pavlova-9 [17]

Answer:

a

Step-by-step explanation:

3 0
3 years ago
Which is equivalent to 3/84 ?<br> VEA *<br> +/W<br> 78%<br> 1/8*<br> 3<br> 4x
Nataly_w [17]
The third one it could be one.
8 0
3 years ago
GEOMETRY , FIND THE AREA OF A REGULAR POLYGON!! BRAINLIEST GIVEN!! BOGUS ANSWERS BLOCKED
Inessa05 [86]
To find the area of a regular figure,the formula would be:

s^2(n)/4tan (180/n)

where
s  is the length of any side
n  is the number of sides

In this case:
12^2(6)/4tan (180/6)
=144/4tan(30)
=144/120tan
≈374.1 in^2 (correct to the nearest tenth)

Hope it helps!
6 0
3 years ago
A study found that 1% of Social Security recipients are too young to vote. If 800 social security recipients are randomly select
GalinKa [24]

Answer:

8, 7.92, 2.81

Step-by-step explanation:

For each Social Security recipient, there are only two possible outcomes. Either they are too young to vote, or they are not. The probability of a Social Security recipient is independent of any other Social Security recipient. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

The expected value of the binomial distribution is:

E(X) = np

The variance of the binomial distribution is:

V(X) = np(1-p)

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

In this problem, we have that:

n = 800, p = 0.01

So

Mean:

E(X) = np = 800*0.01 = 8

The variance of the binomial distribution is:

V(X) = np(1-p) = 800*0.01*0.99 = 7.92

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{800*0.01*0.99} = 2.81

Formatted answer: 8, 7.92, 2.81

6 0
4 years ago
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