Can Both Hypotheses be Accepted with a Confidence Level of 68%?

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The discussion revolves around determining a significance level α that allows acceptance of both Hypothesis 1 (E[Y(t)] = 70t) and Hypothesis 2 (E[Y(t)] = 75t) given a Poisson process model with observed calls of 2175 over t = 30. Participants suggest using normal approximation due to the large sample size, noting that the variance of a Poisson distribution equals its expected value. The conversation also touches on the concept of confidence intervals and whether a two-sided test is appropriate for achieving 68% confidence. Ultimately, the goal is to find a method that supports accepting both hypotheses simultaneously. The discussion emphasizes the need for clarity in statistical testing approaches.
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1. Homework Statement
Suppose you receive calls that follow a Poisson process model Y(t).
There are two hypotheses, Hypothesis1: E[Y(t)] = λ1t = 70t and Hypothesis 2: E[Y(t)] = λ2t = 75t. Let t = 30 the number of calls be 2175.

Find and compute a significance level α such that both Hypothesis1 and Hypothesis2 are accepted.
2. Homework Equations

α = P( (u - E[Y] /stdY > c / stdY) 3. The Attempt at a Solution
 
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Good question - how are you attempting the problem?
Presumably you've done problems involving confidence intervals and/or poisson distributon before?
 
Opps, I forgot to type my approach. Since n is big, we can approximate the poisson with the normal.
The variance of a poisson is the same as the expected value.
Or am I suppose to use a two sided test?
 
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Well to 68% confidence limits, would you accept both hypotheses?
 
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