A consulting firm claimed that 65% of all e-commerce shoppers fail in their attempts to purchase merchandise on-line because Web sites are too complex. The claim was tested by taking a random sample of 60 online shoppers and assigning them each a different randomly selected e-commerce Web site to test. 45 reported sufficient frustration with their sites to deter making a purchase. The data was entered into STATISTIX and the following output was generated: Hypothesis Test - One Proportion
Sample Size 60
Successes 45
Proportion 0.75000
Null Hypothesis: P= 0.065
Alternative Hypothesis: P > 06.5
Difference 0.10000
Standard error 0.05590
Z(uncorrected) 1.62 P 0.0522
Method 95% cofidence interval

What assumption is necessary for this analysis to work properly?

a. Neither of these assumptions is necessary as the sample size is considered large.
b. The sample that we are sampling from needs to be approximately normally distributed.
c. The population that we are sampling from needs to be approximately normally distributed.
Simple Asymptotic (0.640403, 0.8597)