If you use a large enough statistical sample size, you can apply the Central Limit Theorem (CLT) to a sample proportion for categorical data to find its sampling distribution. The population proportion, p, is the proportion of individuals in the population who have a certain characteristic of interest (for example, the proportion of all Americans who are registered voters, or the proportion of all teenagers who own cellphones). The sample proportion, denoted
Answer:
$200,000
Step-by-step explanation:
6,000×100=600,000
600,000÷3=200,000
So $200,000
Answer:
g = 3/2
Step-by-step explanation:
−4g+8−5+ 2g
−4g+ 2g +8-5
-2g + 8 -5
-2g +3
2g = 3
g = 3/2
g = 1 1/2
Answer:
480,700 sets (first choice)
Step-by-step explanation:
If all 25 questions are different,
When order of selection counts:
P(25,7)
= 25!/(25-7)!
= 15511210043330985984000000/6402373705728000
= 2422728000
When order of selection does not count count:
C(25,7)
=25!/(7!*(25-7)!)
=15511210043330985984000000/(6402373705728000*5040)
= 480,700
Hope this helps, have a nice day.
