P-value for a one-sample inferential procedure on µ?
]]>t table
]]>P-value for this example?
]]>t = 2.53, is positive.
]]>a has “>” in it.
]]>P-values than an interval as given by the *t* table?
]]>t table
]]>t = –8.78 is off the df = 4 row on the right. Can we still find *P*-value for this test statistic using the *t* table?
]]>P-value for this example?
]]>t = 1.93, is positive.
]]>a has “≠” in it.
]]>P-value for the test statistic \(t = \frac{ \overline{x} - \mu _{0} }{ \frac{s}{ \sqrt{n} } }\)?
]]>t table with df = n – 1
]]>a: µ = 72
]]>a: µ < 72
]]>a: µ > 72
]]>a: µ ≠ 72
]]>P-value for the test statistic *t* = 0.758?
]]>P-value > 0.40 and α = 0.50, should we reject H_{0}?
]]>a is correct?
]]>0.
]]>0.
]]>0 is correct.
]]>