Test Hypotheses with sample of Binomial RV's

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    Binomial Test
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Discussion Overview

The discussion revolves around testing hypotheses for a binomial distribution, specifically focusing on the application of hypothesis testing methods and calculations. Participants are exploring the appropriate statistical techniques to analyze a small sample of binomial random variables.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • One participant presents a hypothesis testing scenario with a null hypothesis (H0: θ=0.5) and an alternative hypothesis (H1: θ>0.5), using a sample of size n=4.
  • The same participant calculates the sample average and attempts to determine whether to reject the null hypothesis based on a calculated probability, expressing uncertainty about their approach.
  • Another participant suggests a resource that may assist with hypothesis testing using the binomial distribution, indicating a potential alternative method.
  • A different participant proposes using a z-score calculation to evaluate the hypothesis, questioning whether this approach would yield a more appropriate result.
  • There is a reminder that the p-value relates to the probability of an estimator distribution corresponding to the hypothesis being tested.

Areas of Agreement / Disagreement

Participants express differing views on the methods to apply for hypothesis testing, with no consensus reached on the best approach or the correctness of the calculations presented.

Contextual Notes

Participants have not fully resolved the assumptions underlying their calculations, particularly regarding the choice of distribution and the interpretation of the p-value in relation to the hypotheses.

LBJking123
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Hi, I am trying to teach myself how to test hypotheses for any distribution, but am having some trouble.

X=number chosen each year
θ=Mean number chosen in the population

H0: θ=.5
h1: θ>.5

The random sample of n=4 is 0,1,3,3

Test the Hypotheses at α≤0.05 assuming X is a binomial(5,θ/5).

This is what I have so far, but I feel I am completely missing something..

Sample average (Xbar = 1.75

So,

Reject H0 if P(Xbar≥1.75, given that X is binomial(5,.1)) ≤ 0.05

Then I figure out 1-P(Xbar≤1.75)=0.08146 which is greater than 0.05 so I reject the null.

I know something is not right... Any help would be much appreciated. Thanks!
 
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So would I want to do a z score, like on page three of that document? That seems like it would work better.

Then, I get P(Z≥(1.75-.5)/SQRT(.25/4))=P(Z≥5)=0, which is less than 0.05 so I reject the null..?
 
If that distribution and region corresponds to H0 then yes you reject the null.

Remember that a p-value is looking at a probability for some estimator distribution that relates to a hypothesis.
 

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