Solving Statistics Questions: Alex’s Answers

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Alex's answers to the statistics questions were largely incorrect. For the first question, the correct interpretation of a 95% confidence interval is that it pertains to sample means, making Alex's answer false. In the second question regarding z-values, the correct range for 97% of computed z-values is between -2.17 and 2.17, contradicting Alex's answer of "none of the above." Lastly, while the third question's wording is debated, the consensus is that if a confidence interval includes 0, it implies that the null hypothesis cannot be rejected, suggesting a lack of evidence for a difference in treatment means. Overall, Alex's misunderstandings highlight the importance of accurately interpreting statistical concepts.
PARAJON
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HI group, I was wondering if someone can check my answers to see if I'm right on the following questions. Thanks!

Alex



1.) The 95% confidence interval states that 95% of the sample means of a specified sample size selected from a population will lie within plus and minus 1.96 standard deviations of the hypothesized population mean.

a.) True
b.) False


My answer: False (population mean lies within the interval)

2.) If the null hypothesis that two means are equal is true, where will 97% of the computed z- values lie between?

a.) +- 2.58
b.) +- 2.33
c.) +- 2.17
d.) +- 2.07
e.) none of the above.

My answer: e : none of the above

3.) If the confidence interval includes 0, there is no difference in the pair of treatment means.

a.) Ture
b.) False

My answer: False
 
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You don't give any reason for your answers so I can't tell where you have gone wrong but you certainly have!

"1.) The 95% confidence interval states that 95% of the sample means of a specified sample size selected from a population will lie within plus and minus 1.96 standard deviations of the hypothesized population mean.

a.) True
b.) False


My answer: False (population mean lies within the interval)"

The question didn't ask about the population mean, it asked about the sample mean. The statement given is true and is, simply, the definition of "95% confidence interval". Check the definition in your book.

".) If the null hypothesis that two means are equal is true, where will 97% of the computed z- values lie between?

a.) +- 2.58
b.) +- 2.33
c.) +- 2.17
d.) +- 2.07
e.) none of the above.

My answer: e : none of the above"

How did you arrive at that? Checking a table of Normal Distribution values, I find that the area under the normal curve, from 0 to 2.17, is .485 which is .97/2. Because of the symmetry of the curve, 97% of the area is between -2.17 and 2.17, answer c.

"3.) If the confidence interval includes 0, there is no difference in the pair of treatment means.

a.) True
b.) False

My answer: False"

I'm not crazy about the question itself and would be willing to accept "false" based on the wording. If the confidence interval includes 0, then one cannot REJECT the null hypothesis that there is "no difference in the pair of treatment means" but that is NOT the same as saying there IS no difference!
 
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