A consumer advocacy group wants to test the claim that 93% of shoppers use credit cards. Their hypotheses are H 0 : p = 0.93 {"version":"1.1","math":"H_0:p = 0.93"} and H a : p 0.93 {"version":"1.1","math":"H_a:p eq 0.93"}. A random sample of 500 shoppers will be asked whether they use credit cards, the relevant test statistic and P-value will be calculated, and so on. Are the requirements for this hypothesis test satisfied? Why or why not

Options:

	_______Yes. There are more than 30 measurements.
	_______Yes. It is not true that both n p 10 {"version":"1.1","math":"np \geq 10"} and n ( 1 p ) 10 {"version":"1.1","math":"n(1-p) \geq 10"}.
	_______Yes. It is true that both n p 10 {"version":"1.1","math":"np \geq 10"} and n ( 1 p ) 10 {"version":"1.1","math":"n(1-p) \geq 10"}.
	_______No. It takes a lot more than 500 people to accurately represent all the shoppers.
	_______No. It is true that both n p 10 {"version":"1.1","math":"np \geq 10"} and n ( 1 p ) 10 {"version":"1.1","math":"n(1-p) \geq 10"}.
	_______No. It is not true that both n p 10 {"version":"1.1","math":"np \geq 10"} and n ( 1 p ) 10 {"version":"1.1","math":"n(1-p) \geq 10"}.