Answer:
The sampling distribution of 
is: 
.
Step-by-step explanation:
According to the Central limit theorem, if from an unknown population large samples of sizes n > 30, are selected and the sample proportion for each sample is computed then the sampling distribution of sample proportion follows a Normal distribution.
The mean of this sampling distribution of sample proportion is:
The standard deviation of this sampling distribution of sample proportion is:
The study was conducted using the data from 15,000 students.
Since the sample size is so large, i.e. <em>n</em> = 15000 > 30, the central limit theorem is applicable to approximate the sampling distribution of sample proportions.
So, the sampling distribution of is: .
Answer:
Step-by-step explanation:
We have:
Answer:
a) 675 000
b) 685 000
Step-by-step explanation:
The population of a town is 680 000 correct to the nearest 10 000.
a) To find it lower bound, we level of accuracy by 2 and then subtract from 680 000
The lower bound is:
680 000-5000=675,000
Therefore the least possible population of the town is 675 000
b) We repeat the same process to find the upper bound
680 000+5000=685,000
Answer:
Answer
4.0/5
20
JannetPalos
While representing 3 - 4 on the number line, from the starting point 0, we need to show an arrow to three numbers on the right.
Since - 4 is the additive inverse of 4, from the point where the first arrow pointed, we should go 4 points to the left.
Hence, the number line which shows an arrow from 0 to 3, and then from 3 to negative 1 is the correct one.
Step-by-step explanation:
Hope that helps!!
7/11 in decimal form rounded to the nearest thousandth is : 0.636
