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.
Hey there!
You would be able to rent the limo for 4 hours plus the booking fee.
75 x 4 = 300
300 + 50 = 350
350 = 350
Hope this helps you! :)
Hugs!
- Nicole
Answer:
D
Step-by-step explanation:
2 terms