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really confused Question 2: When simulating different sampling distributions, each based on 10,000 samples, for the variable/statistic: p-hat - the proportion of successes , the

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really confused Question 2: When simulating different sampling distributions, each based on 10,000 samples, for the variable/statistic: p-hat - the proportion of successes , the p-values do vary [ Select] . The probability statement used to find the p-value is [Select ] successes. The p-value, when using the exact binomial distribution, is around [ Select ] . The relative interpretation for the p-value says, that, in the [ Select ] about [ Select ] yout of 10:000 samples will have a statistic of [ Select ] . when calculated under the assumption that the nu. random chance model is true. With the normal approximation model, the p-value is around [ Select ] v. The p-value from the [ Select ] model should be used because it is based on the exact distribution under the null hypothesis. There is always some concern when using the normal approximation distribution to approximate the p-value, because the normal distribution random variable is [ Select ] ". while the binomial random variable is [ Select ] Question 2: When simulating different sampling distributions, each based on 10,01 samples, for the variable/statistic: p-hat = the proportion of successes , the p-value do vary v [ Select ] . The probability statement used to find th a little bit p-value quite a bit successes. The p-value, when using the p-value is v [ Select ] successes. The p-value, P(X is at least 4) exact bin P(X is at most 4) Select ] P(X = 4) p-value is [ Select ] successes. The p-value, when using the exact binomial distribution, is around v [ Select ] The relative 0.1522 interpretation for the p-value says, ti 0.2436 0.2609 about [ Select ] 0.9392 ve a statistic of Select ] v. The relative in the v [ Select ] long-run ut of short-run stic of IIILCIPILLQUIVII IVI abou v [ Select ] out of 10,000 1522 [ Se 152 n calculated un 522 rand 15,222 he normal apprc around [ Select ] The p-value about [ Select ] out of 10,000 samples will have a statistic of [ Select ] when calculated under the assumption that the null at most 20 at most 3 With the normal approximation model, the p-value is at most 10,000 . The p-value from the at most 4 it ic haced on the around v [ Select ] The p-value from the 0.2069 [ Sele 0.2069 should be used because 0.2436 exact 0.1035 hesis. There is always so using the normal approximation distribution to approximate the random chance mouel Is LuE. VVlut TIG TUITION around [ Select] . The p-value from the [ Select ] model should be used because it is based on geometric normal ll hypothesis. There is always some concern binomial distribution to approximate the p-value, bece poisson iable is [Select ] . while using the normal approximation distribution to approximate the p-value, because the normal distribution random variable i [ Select ] while the continuous binomial random variable is [ Select caegorical discrete binomial random variable [ Select ] continuous categorical discrete

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