Business stats

5? Is this result the same no matter You are testing a claim and incorrectly use the normal sampling distribution instead of the t-sampling distribution. Does this make it more or less likely to reject the null hypothesi whether the test is left-tailed, right-tailed, or two-tailed? Explain your reasoning ls the null hypothesis more or less likely to be rejected? Explain. distribution Therefore, if you incorrectly use a standard normal sampling distribution, the area under the N for degrees of freedom less than 30, the tail of the curve are thicker for a curve at the tails will be [3 what it would be for the t-test, meaning the m'tical value(s) will he Is the result the same? the mean. b O The result is different With a two-tailed case, the tail thickness does not affect the location of the critical values, however, in a left and right-tailed case. the tail thickness does aect the location of the critical value. The result is the same. In each case, the tail thickness affects the location of the critical value(s). e critical value(s)t ase, the tail thickness does affect the location of the critical however, in a two-tailed c O O The result the same. In each case, the tail thidmess does not affect the location of [I1 0 oes not affect the location of the critical value. The result is different. \\Mth a le- and right-tailed case, the tail thickness d value Next