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For a sample size of 30, changing from using the standard normal distribution to using the distribution in a hypothesis test; will result in the rejection region be...

Question

For a sample size of 30, changing from using the standard normal distribution to using the distribution in a hypothesis test; will result in the rejection region being smallerb. Not enough information is given to answer this questionwill result in the rejection region being largerwould have no effect on the rejection region

For a sample size of 30, changing from using the standard normal distribution to using the distribution in a hypothesis test; will result in the rejection region being smaller b. Not enough information is given to answer this question will result in the rejection region being larger would have no effect on the rejection region



Answers

Rework Exercise $9-20$ when the sample size is 16 and the boundaries of the acceptance region do not change. What impact does the change in sample size have on the results of parts (a) and (b)?

Uh huh I'll put 14 is normally distributed with the standard deviation of 140.25 votes and the manufacturer which is a test that new hypothesis new equals five bullets against. Alternatively there's not equal five Using an equal 16 sample sets. This question is telling you understanding the language of hypothesis testing, how to properly and my hypothesis test is falling procedural steps and everyone to answer if the acceptance region is 4.5, less than excess than 5.15, what is the alpha and the probability of one era or alternatively what is the area in the tales? Outside of these critical region? Thousands. So we introduced alpha for this. We need to find the Z scores corresponding to these boundary regions. They should be symmetric about zero for zero equals excellent overseas delivery and are critical boundary region for 25 to 2.4 this corresponds to z 45.15 positive 2.4 that's pz lessons, you know, equals 0.82 alpha over to combining the area of the two regions means multiplying by two that's probably would take one error is alpha is 10.164 proceeding to be one of the power of the test for checking the train. The output of 10.5 point one B. Remember that power is one minus beta, beta. As the probability of a type two error beta value is the probability access between 25 15.1 500 additional probability 5.1 that's we convert to the scores were 5.1 in our computing noon or imputed mean less than negative, 2.4 lessons, 11.8 point 799 and the power is one minus beta equals 10.2211.

Given that Daddy's equals to 1.99 And alpha as it was started up 105. The value ed The articles to 1.99 is Do you know one 0.0466. What? Who failed? Yes. Yes. Value his first then Alpha. Because of 0.0 whole success, which is the value of P Is less than Alphabet is 0.05. Therefore rejected. No. What is this Be given that is supposed to develop one seafood? That stuff is 1.645. Yeah. Jill a .34 Is less than 1.645. That means that is less than that stuff. Therefore it is fine. Who is it? Yeah. Yeah. Know what this is. See Yeah. Even lewis 0.03 And alpha is 0.05. Yeah, europe. And the yellow sea is less than disappoint. You don't fight. That means the venue is less than alpha. Therefore deceptive. Okay. Yeah. Not hypothesis. The given people do is Did a .015. And I thought, yes, your point. You know what? Since the venue is greater than Alpha, therefore, fail. Well, the exact not like this is.

Different.


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