Posted by Stanley on Thursday, January 24, 2013 at 11:13pm.
Using a formula for a binomial proportion one-sample z-test with your data included, we have:
z = .625 - .60 -->test value (250/400 = .625) minus population value (.60)
divided by
√[(.60)(.40)/400]
Calculating, z = 1.02
Critical value = 1.645 (one-tailed)
-----------------
Test statistic for your second problem can be calculated the same way:
z = .775 - .80 -->test value (155/200 = .775) minus population value (.80)
divided by
√[(.80)(.20)/200]
Calculating, z = -0.884
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