Answer:
y=-x+4
Step-by-step explanation:
m=(y2-y1)/(x2-x1)
m=(1-6)/(3-(-2))
m=-5/(3+2)
m=-5/5
m=-1
y-y1=m(x-x1)
y-6=-1(x-(-2))
y-6=-(x+2)
y-6=-x-2
y=-x-2+6
y=-x+4
Answer:
The mean of the sampling distribution of sample proportions will be 0.2
Step-by-step explanation:
Central Limit Theorem for Proportions:
For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean 
and standard deviation 
20% of American adults ages 25 and older had never been married.
This means that 
So the mean of the sampling distribution of sample proportions will be 0.2
Answer:
304
Step-by-step explanation:
4865/16 = 304.0625 or about 304
I have to round it since you can't bring part of a student in a trip lol.
<em>Ace Carlos</em>
Answer: 100,000 + 2000 + 200
Hope this helps!
Please mark Brainliest!
Answer:
a) There is a 66.7% chance that you were given box 1
b) There is a 80% chance that you were given box 1
Step-by-step explanation:
To find this, we need to note that there is a 1/10 chance of getting a defective bulb with box 1 and a 1/20 chance in box 2.
a) To find the answer to this, find the probability of getting a defective bulb for each box. Since there is only one bulb pulled in this example, we just use the base numbers given.
Box 1 = 1/10
Box 2 = 1/2
From this we can see that Box 1 is twice as likely that you get a defective bulb. As a result, the percentage chance would be 2/3 or 66.7%
b) For this answer, we need to square each of the probabilities in order to get the probability of getting a defective one twice.
Box 1 = 1/10^2 = 1/100
Box 2 = 1/20^2 = 1/400
As a result, Box 1 is four times more likely. This means that it would be a 4/5 chance and have a probability of 80%
