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Just need the answers please no explanations! Livestock are given a special feed supplement to see if it will promote weight gain. Researchers report that

Just need the answers please no explanations!

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Livestock are given a special feed supplement to see if it will promote weight gain. Researchers report that the 77 cows studied gained an average of 56 pounds, and that a 95% condence Interval for the mean weight gain this supplement produces has a margin of error of 1: 11 pounds. Some students wrote the following conclusions. Did anyone interpret the interval correctly? Explain any misinterpretations. Complete parts a through e below. _ _%r . d) \"the average weight gain of cows fed this supplement will be be can . and 67 pounds 95% of the time. Is this a correct interpretation of the condence Interval? Choose the correct answer below. The interpretation is incorrect. The average Weight gain of all cows does not vary. it is a constant value which the condence interval estimates. . The interpretation is incorrect. The condence interval estimates the weight loss of any individual cow. not the average weight loss of all cows. it Go. The Interpretation is incorrect The average weight gain of the individual cows in the study will be between 45 and 67 pounds 95% of the time. 0 D. The interpretation is correct. assuming all conditions and assumptions are met. a) if this supplement is tested on another sample of cow's, there is 95% chance that their average weight gain will be between 45 and 67 pounds. Is this a correct interpretation of the condence interval? Choose the correct answer below. . The interpretation is correct. assuming all conditions and assumptions are met. 0 B. The interpretation is incorrect. There is a 95% chance that another sample will have its average weight gain within two standard deviations of the true mean. 0 C. The interpretation is incorrect. There is a 95% chance that another sample will have its average Weight gain within two standard deviations of the sample proportion. O D. The interpretation is Incorrect. One knows that another sample will have its average weight gain within two standard deviations of the sample proportion

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