Using approximations to the binomial distribution

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Homework Help Overview

The discussion revolves around the application of normal approximations to the binomial distribution in a hypothesis testing context. The original poster presents a problem involving critical values and Z-scores, indicating that the sample size is sufficiently large for such approximations.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the determination of critical values based on Z-scores and the implications of one-tailed versus two-tailed tests. There is an exploration of whether the original poster correctly identified the critical value associated with the specified alpha level.

Discussion Status

Some participants provide clarifications regarding the critical value selection and the nature of the hypothesis test. There is an acknowledgment of differing interpretations regarding the test type, with suggestions for ensuring clarity on whether the test is one-tailed or two-tailed.

Contextual Notes

Participants note the importance of the alpha level in determining critical values and the distinction between one-tailed and two-tailed tests, which may affect the approach to the problem. The original poster's reference to a specific critical value suggests a need for careful consideration of the test's parameters.

bonfire09
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Homework Statement


This is the problem I am given.
pic1.jpg
. It is in he picture below or in the thumbnail. I was also told that since ##n## is big enough that I can use normal approximations.

Homework Equations

The Attempt at a Solution


I think that ##C_{\alpha}=C_{0.1}=2.33## which I got off the Z-score chart. The test statistic given looks like the one given for a binomial distribution given by where ##Z=\dfrac{x-np}{\sqrt{npq}}=\dfrac{\frac{x}{n}-p}{\frac{\sqrt{pq}}{\sqrt{n}}}##. I am not sure if this right or not. But it seems like this is the only way of finding the critical value. Thanks[/B]
 
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I think you looked up the value for alpha = .01, you were asked for .1. If you are using a normal approximation, then this is all you need to find the critical value. Be sure to clarify if this is a one-tailed or two-tailed test. From the question T>C_alpha indicates you are checking to see if a majority are in favor--i.e. one-tailed, your process is correct. If you were just checking whether or not the null hypothesis held, you would use a two-tailed test. In that case, you would need to divide alpha by two.
 
I see it is two tailed so I would use ##C=1.645## which would be my critical value.
 
Right--In this case the two tailed test is for p = 50%, if you reject that, then you know it is either more or less. If you were only concerned with the proportion being more, then you could use a smaller critical value to get the same level of confidence.
 

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