p, and standard deviation, \(\sqrt{ \frac{p(1-p)}{n} } \), when n is large.
]]>p?
]]>pâ€”that's why we are testing it.
]]>0: \(p= p_{o} \) to be valid?
]]>a: *p *= 0.73
]]>a: *p *< 0.73
]]>a: *p *> 0.73
]]>a: *p *\(\neq\) 0.73
]]>p in the hypotheses because the response variable is categorical and we want to test proportion.
]]>P-value?
]]>n = 200 > 30
]]>P-value = 0.0258 and \(\alpha\) = 0.05, should we reject H_{0}?
]]>0: p = 0.73 and H_{a}: p \(\neq\) 0.73 and we rejected H_{0}, what should we conclude?
]]>P-value for a test of significance on proportion?
]]>