Answer:
The sampling distribution of the sample proportion of adults who have credit card debts of more than $2000 is approximately normally distributed with mean
and standard deviation 
Step-by-step explanation:
Central Limit Theorem
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean
and standard deviation
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
and standard deviation
.
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
and standard deviation 
In this question:

Then

By the Central Limit Theorem:
The sampling distribution of the sample proportion of adults who have credit card debts of more than $2000 is approximately normally distributed with mean
and standard deviation 
Answer:
36, 25, 14, 3
Step-by-step explanation:
subtract 11
Let's say the number of days is d (as stated in the question). there are always 24 hours in a day, so the amount of hours in d days has to be 24*d. since you also have the six hours, this can be written as 24*d + 6 = the number of hours in d days and six hours.
Answer:
Step-by-step explanation:
cant read question plz resend in the cmments so i can answer plz
Answer:
6920
Step-by-step explanation: