Answer:
Step-by-step explanation:
To the nearest 10 is 300 - 298
To the nearest 100 is 500 - 549
To the nearest 100 is 700 - 698
Answer:
As the sample size increases, the variability decreases.
Step-by-step explanation:
Variability is the measure of actual entries from mean. The less the deviations the less would be the variance.
For a sample of size n, we have by central limit theorem the mean of sample follows a normal distribution for random samples of large size.
X bar will have std deviation as 
where s is the square root of variance of sample
Thus we find the variability denoted by std deviation is inversely proportion of square root of sample size.
Hence as sample size increases, std error decreases.
As the sample size increases, the variability decreases.
17 and a half cups would be the answer because of the poopo
The answer is the second one. 5.2 repeating.