Confidence intervals and point estimate problems

A survey for a sample of 300 students resulted in 175 yes responses, 110 no responses, and 15 no opinions. What is the point estimate of the proportion in the population who respond "no opinion"?In summary, the first problem involves finding the sample size used in a study based on a reported confidence interval. The second problem involves finding the point estimate for the proportion of "no opinion" responses in a population based on a survey of a sample of 300 students.
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colle
1
0
I am lost on how to do these two problems and can't find info on how to solve them anywhere. If anyone can get me on the right track as to how to start, that would be amazing!

1. A 99% confidence interval for a population mean was reported to be 152 to 158. If the standard deviation is 10, what sample size was used in this study?

2. A survey for a sample of 300 students resulted in 175 yes responses, 110 no responses, and 15 no opinions. What is the point estimate of the proportion in the population who respond "no opinion"?
 
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  • #2
colle said:
I am lost on how to do these two problems and can't find info on how to solve them anywhere. If anyone can get me on the right track as to how to start, that would be amazing!

1. A 99% confidence interval for a population mean was reported to be 152 to 158. If the standard deviation is 10, what sample size was used in this study?

As reported in...

http://mathhelpboards.com/questions-other-sites-52/unsolved-statistics-questions-other-sites-part-ii-1566-post12072.html#post12072

... is [approximately] $ \text{erfc}\ (x) = .01$ for $x \sim 1.8$ so that is $\displaystyle \frac{10}{\sqrt{n}} = \frac{5}{3} \implies n=36$... Kind regards $\chi$ $\sigma$
 

Related to Confidence intervals and point estimate problems

1. What is a confidence interval?

A confidence interval is a range of values that is likely to contain the true population parameter with a certain level of confidence. It is calculated based on sample data and is used to estimate the true value of a population parameter.

2. How is a confidence interval calculated?

A confidence interval is calculated using the sample mean, standard deviation, sample size, and a chosen level of confidence. The formula for a confidence interval is: point estimate ± (critical value x standard error), where the critical value is based on the chosen level of confidence and the standard error is calculated using the sample data.

3. What is a point estimate?

A point estimate is a single value that is used to estimate the true value of a population parameter. It is calculated using sample data and is typically the sample mean or proportion.

4. Why do we use confidence intervals?

We use confidence intervals to account for sampling variability and to estimate the true value of a population parameter. They provide a more accurate and precise estimate compared to a point estimate, which may be influenced by random variation in the sample.

5. What is the relationship between confidence level and width of a confidence interval?

The confidence level is the probability that the true population parameter falls within the confidence interval. As the confidence level increases, the width of the confidence interval also increases, meaning that the range of possible values for the population parameter becomes wider. However, a higher confidence level also means that we are more confident in our estimate of the true value.

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