Question

You are sasting a daim and incomecty use the nemal samping detritbuion instead of the 1-samping dstrbufion Does thies make t more or less ely to reject the nul hypothesis? is this resvult the same ne matter thether the test is left-tailed, right-talled, or two laiked? Explain your reasoning s the rall hypothesis more or less likely to be rejected? Explain distribution. Therefore, E you incorrectly use a standard tor degrees of teedom less than 30轵lal of the curve are ticker lor. normal sampling detibution, the ares under the curve at the tails will be what it would be for the t-test, meaning the citical value(s) will lie the mean Is the resuh the sams? O The resut is the same. In each case, the tail t thickness aflects the location of the aritical value(s) the tal thickness does not alfect the locason of the arflical vakes, however, in a left and ight-taled case, the tail sihd casa, the til thickness does nat afoct the location of the ontical vakas, however, in a two-talod case.the tall resuh the same. In each case, the tal tickness does not affect the location of the critikcal values) O The result ia ditheremt. With a two-taled case, t thickness does affect the locaion of the aritical value he resuh is diterem Wah s let- and righ-ta thickness does affect the location of the critical value Cick to select your answer

Answer 1

Solution:

More Likely freedom less than 30, the tail of the curve are thicker for a t Sampling distribution. Therefore, if you incorrectly use a standard normal sampling distribution, the area under the curve at the tails will be Closer to what it would be for the t-test, meaning the critical value(s) will lie smaller than the mean.

Ans:

The result is different. With a two-tailed case, the tail thickness does not affect the location of the critical value, however in a left and right tailed case, the tail thickness does affect the location of the critical value.