Question

296 The sampling distribution shows sample proportionsfrom samples of size n# 30 25 45 65 85 105 125 145 Answer thefollowing questions 2) What does one dot on the sampling distribution represent? A) Parameter B) Observation 13) What shape do you expect the sampling distribution to have? Skew to left Symmetric and bell shaped skew to right 14) Where should the sampling distribution be centered ? The population
14) Where should the sampling distribution be centered? A) The standard error C) The bootstrap statistic EThe populatic D) The sample s 15) Estimate the population mean from the dot plot B) 105 A) 65 16) Estimate the standard error of the sample mean B) 65 A) 40 mean 95? 17) Using the sampling distribution, how likely i Extremely unlikely to ever occur B) Reasonably likely to occur from a sample of this size Unusual but might occur occasionally 18) Using the sampling distribution, how likely is 35? A) Unusual but might occur occasionally B) Reasonably likely to occur from a sample of this size C) Extremely unlikely to ever occur 19) Using the sampling distribution, how likely is 1491 A) Unusual but might occur occasionally B)Extremely unlikely to ever occur Reasonably likely to occur from a sample of this size
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Answer #1

Note that, sampling distribution of sample mean denotes the probability distribution of the sample mean. Now,

18) the value of sample mean, 35 lies in left tail of the distribution.. this suggests that, the value is unusual but might occur occasionally.

19) Also, the value of 149 is extreme observation in right tail of the distribution, we can infer that - the value is unusual but might occur occasionally.

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