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POF Handout 6.2 Hypothesis Testing for Population Proportions.pdf Open with New My Drive Math 80 - Statistics Hypothesis Testing for Population Proportions Handout 6.2 My

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POF Handout 6.2 Hypothesis Testing for Population Proportions.pdf Open with New My Drive Math 80 - Statistics Hypothesis Testing for Population Proportions Handout 6.2 My Drive Trash has changed. Items will be a Step 4: State a Conclusion - The fundamental step in our reasoning is answering the question "Are the data surprising given X that the null hypothesis is true?" And the key calculation in answering this is determining exactly how likely the data we Shared with me Quick Access observed would be were the null hypothesis true. When the null hypothesis is assumed to be true, the P-value can be thought of as the probability of obtaining a sample proportion at least as extreme as the one observed. Recent Small P-values (less than or equal to a) provide sufficient justification for the rejection of the null hypothesis in favor of the Starred alternative. That is, when the P-value is low enough, it says that the data we have observed would be unlikely if our null ABCD hypothesis were true. The model and the data are at odds with eachother, so we have to make a choice. Perhaps another model is correct. Trash Large P-values do not justify a rejection of the null hypothesis. That is, when the P-value is high, we haven't seen anything Storage POF MRA_ClaimForm.pdf unlikely or surprising at all. Events that have a high probability of happening happen all the time. The data are consistent with the model from the null hypothesis, and we have no reason to reject the null hypothesis. However, we haven't proven ed-2432276202199.m. 75ec5a9070124bd695f0929. You opened in the past month You that the null hypothesis is true. The most we can say is that it doesn't appear to be false. Formally, we "fail to reject" the d in the past year You uploaded in the past year 10.3 GB of 15 GB used null hypothesis. Buy storage Folders It is important to explain the result of your test in a way that is easy to understand. Remember that the hypothesis test process is not infallible, and therefore some uncertainty should be present in the language we use. Our conclusion can give Name support to the alternative hypothesis, but we can never conclude that the null hypothesis is true. The strongest support we DOG ever give to the null hypothesis is to say that we cannot reject it. It is always wise to indicate that the conclusion was based on sample data. Remember to include the P-value at the end of the conclusion. Files State a conclusion for the Chevrolet problem: A Using the P-value above and the level of significance of 5%, what can you conclude about the null hypothesis? B What can you conclude about the alternative hypothesis? Interpret your decision in the context of the problem. 75ec5a9070124bd695f092.. 8252779_71F6B134-. 1 upload complete X Handout 6.2 Hypothesis Testing for Popu. 2 3 1 6 - +

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