Posted by Adam on Wednesday, March 23, 2011 at 2:01am.
Null hypothesis:
Ho: p = .50 -->meaning: population proportion is equal to .50
Alternative hypothesis:
Ha: p > .50 -->meaning: population proportion is greater than .50
Using a formula for a binomial proportion one-sample z-test with your data included, we have:
z = .58 - .50 -->test value (58/100 = .58) minus population value (.50)
divided by
√[(.50)(.50)/100]
Using a z-table, find the critical or cutoff value for a one-tailed test (upper tail) at .05 level of significance. The test is one-tailed because the alternative hypothesis is showing a specific direction (greater than).
The p-value will be the actual level of the test statistic. You can use a z-table to determine that value.
I hope this will help get you started.
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