Answer: B. 264
Step-by-step explanation:
Formula to calculate the sample size 'n' , if the prior estimate of the population proportion (p) is available:
, where z = Critical z-value corresponds to the given confidence interval
E= margin of error
Let p be the population proportion of clear days.
As per given , we have
Prior sample size : n= 150
Number of clear days in that sample = 117
Prior estimate of the population proportion of clear days = 
E= 0.05
The critical z-value corresponding to 95% confidence interval = z*= 1.95 (By z-table)
Then, the required sample size will be :
Simplify ,
Hence, the sample size necessary to construct this interval =264
Thus the correct option is B. 264
1mm = .11m
You can get this by simplifying the numbers you already have
Let's solve for h
hx = 0.5x - 9
Step 1: Divide both sides by x.
hx/x = 0.5x - 9/ x
Answer = h = 0.5x - 9/ x
Answer is: 50.4%. You have to take 30% off of 72%. Easiest way is to find 10% of 72 (7.2) and multiply that by 3 (=21.6). Then minus this off the original price (72 - 21.6 = 50.4)