in a test of hypotheses, the researcher observes data and computes a P-value of P = 0.0001. He then decides that these data are statistically significant. Since the P-value is so small,
A) the researcher has proven that the null hypothesis is false.
B) the researcher has strong evidence that the claim as stated in the alternative hypothesis is true, but there is no indication of how big the effect is.
C) the researcher may now conclude that not only is there an effect, but the effect must be very large.
D) the researcher should conclude that terrible errors were made in collecting da

Question

in a test of hypotheses, the researcher observes data and computes a P-value of P = 0.0001.  He then decides that these data are statistically significant.  Since the P-value is so small,
A)	the researcher has proven that the null hypothesis is false.
B)	the researcher has strong evidence that the claim as stated in the alternative hypothesis is true, but there is no indication of how big the effect is.
C)	the researcher may now conclude that not only is there an effect, but the effect must be very large.
D)	the researcher should conclude that terrible errors were made in collecting da

anonymous · Answer

B