Step 1: In each of the following situations explain what is wrong and why. A res
ID: 3153390 • Letter: S
Question
Step 1:In each of the following situations explain what is wrong and why.
A researcher wants to test versus the two-sided alternative .
True or False:
We test hypotheses about the population means, not about the sample means. True False
Step 2:
In each of the following situations explain what is wrong and why.
A study recorded the IQ scores of 100 college freshmen. The scores of the 56 males in the study were compared with the scores of all 100 freshmen using the two-sample methods of this section.
True or False:
The distribution of a certain part of the a group may be quite different from the distribution of the entire group. Therefore, the -procedures are not appropriate. True False
Step 3:
In each of the following situations explain what is wrong and why.
A two-sample -statistic gave a -value of 0.94. From this we can reject the null hypothesis with 90% confidence.
True or False:
When a two-sample -statistic gives a -value of 0.93, we reject the null hypothesis with 93% confidence. True False
Step 4:
In each of the following situations explain what is wrong and why.
A researcher is interested in testing the one-sided alternative . The significance test gave t=2.15. Since the -value for the two-sided alternative is 0.036, he concluded that his -value was 0.018. The -statistic for the one-sided test should be and not 2.25. The -value 0.018 corresponds to the one-sided alternative that is supported by the data. The value of the test statistic is different for the one-sided and two-sided tests. The -value for the one sided test is 0.08.
i need help on this question? can someone provide explation
Explanation / Answer
We test hypotheses about the population means, not about the sample means. TRUE.
A researcher wants to test H0:1=2 versus the two-sided alternative H1:12.
The distribution of a certain part of the a group may be quite different from the distribution of the entire group. Therefore, the -procedures are not appropriate. True.
A two-sample -statistic gave a -value of 0.94. From this we can reject the null hypothesis with 90% confidence. False. The P value is greater than confidence level, so the null hypothesis can not be rejected.
When a two-sample -statistic gives a -value of 0.93, we reject the null hypothesis with 93% confidence. Yes, the P value is less than or equal to the confidence level, so reject the null.
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