P-value < α?
]]>0 is correct.
]]>a is correct.
]]>a.”
]]>P-value > α?
]]>0 is correct.
]]>a is correct.
]]>a.”
]]>0 is correct when computing *P*-value.
]]>0: μ = 16 versus H_{a}: μ < 16
]]>0: μ = 16 versus H_{a}: μ > 16
]]>0: μ = 16 versus H_{a}: μ ≠ 16
]]>P-value of a test?
]]>P-value is specified by the direction in H_{0}.
]]>P-value is specified by the direction in H_{a}.
]]>a: μ < 6
]]>a: μ > 6
]]>a: μ ≠ 6
]]>P-value the area in the lower tail of the sampling distribution of \(\overline{x} \)?
]]>a.
]]>P-value of 0.0018, what did we compute the probability on?
]]>P-value = 0.0018 and α = 0.10, should we reject H_{0}?
]]>P-value = 0.0018 and α = 0.10, can we conclude H_{a} is correct?
]]>a was correct?
]]>P-value was less than α.
]]>P-value was greater than α.
]]>a: μ < 483
]]>a: μ > 483
]]>a: μ ≠ 483
]]>P-value the area in the upper tail of the sampling distribution of \(\overline{x} \)?
]]>a.
]]>P-value, what did we compute the probability on?
]]>P-value = 0.2358 and α = 0.05, should we reject H_{0}?
]]>P-value = 0.2358 and α = 0.05, can we conclude H_{a} is correct?
]]>a was correct?
]]>P-value was less than α.
]]>P-value was greater than α.
]]>a: μ < 128
]]>a: μ > 128
]]>a: μ ≠ 128
]]>P-value computed from these data would be inaccurate.
]]>P-value the area in both tails of the sampling distribution of \(\overline{x} \)?
]]>a.
]]>P-value = 0.2758 and α = 0.05, should we reject H_{0}?
]]>P-value = 0.2358 and α = 0.05, can we conclude H_{a} is correct?
]]>a was correct?
]]>P-value was less than α.
]]>P-value was greater than α.
]]>P-value computation depends on the direction in the alternative hypothesis.
]]>