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Question

This Question: 1 pt 1 of 6 (0 complete) This Test: 6 pts possible Question Help You are testing a claim and incorrectly use the normal sampling distribution instead of the t-sampling distrbution. Does this make it more or less likely to reject the null hypothesis? Is this result the same no matter whether the test is left-tailed, ight-tailed, or two-tailed? Explain your reasoning. Is 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 curve at the tails will be | for degrees of freedom less than 30, te tail of the curve are thicker for a | what it would be for the test, meaning the critical value(s) will lie | the mean. Is the result the same? O The result is the same. In each case, the tail thickness affects the location of the critical value(s) O The result is different. With a left- and right-tailed case, the tail thickness does not affect the location of the critical value, however, in a two-tailed case, the tail thickness does affect the location of the critical value 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 affect the location of the critical value. O The result the same. In each case, the tail thickness does not affect the location of the critical value(s).

Explanation / Answer

Solution:-

=> (more likely) for degrees of freedom less than 30,tail of the curve are thicker for a

t-sampling distribution.Therefore,if you incorrectly use the a standard normal distribution,the area under the curve at the tails will be smaller what it would be for the t-test,meaning the critical value wil lie closer the mean.

=>option A. the result is the same.in each case,the tail thickness affects the location of the critical value(s).

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