Answer:
Step-by-step explanation:
Hello!
The sample proportion represents the number of "success" observed in a sample of n repetitions of a binomial experiment.
The study variable is:
X: number of Ohio dentists that recommend the use of a certain toothpaste in a sample of 100.
The distribution of the sample proportion is:
p'≈N(p;[p(1-p)]/n)
Where p is the population proportion and n is the sample size.
So in this distribution, the mean is "p= 0.72", which means that for all samples of Ohio dentist, the mean of dentist that recommend the use of a certain toothpaste will be 72%
You can interpret it as:
c) The mean of all sample proportions from all random samples of 100 dentists in the state of Ohio is equal to 0.72.
I hope it helps.
The mean of all sample proportions from all random samples of 100 dentists in the state of Ohio is equal to 0.72.
Given ;
Total no. of randomly selected dentists in the state is = 100
No. of randomly selected dentists who recommend use of certain toothpaste is = 78% = 0.78.
The sample proportion represents the number of "success" observed in a sample of n repetitions of a binomial experiment.
X: number of Ohio dentists that recommend the use of a certain toothpaste in a sample of 100.
The distribution of the sample proportion is:
p≈n ( p; [ [tex]\frac{p (1-p)}{n}[/tex]] )
Where p is the population proportion and n is the sample size.
So, in this distribution, the mean is "p= 0.72", which means that for all samples of Ohio dentist, the mean of dentist that recommend the use of a certain toothpaste will be 72%.
The mean of all sample proportions from all random samples of 100 dentists in the state of Ohio is equal to 0.72.
For the more information about the sample proportion mean follow the link given below
https://brainly.com/question/12905909?
