For a distribution of sample means constructed by sampling 3 items from a population of 18,...

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For a distribution of sample means constructed by sampling 3 items from a population of 18, Multiple Choice the sample size is 18 there will be 816 possible sample means the mean of the sample means will be 6 the standard error will be 1 An experiment involves selecting a random sample of 256 middle managers for study. One item of interest is their annual incomes. The sample mean is computed to be $35,420.00. if the population standard deviation is $1,850.00, what is the standard error of the mean? Multiple Choce $115.63 $125.86 $1,850.00 $7.23 The wildlife department has been feeding a special food to rainbow trout fingerlings in a pond. Based ori a large number of observations, the distribution of trout weights is normally distributed with a mean of 402.7 grams and a standard deviation of 9.8 grams. What is the probability that the mean weight for a sample of 42 trout exceeds 405.5 grams? Multiple Choice 0.3882 0.0322 1.0 0.5 Suppose a research firm conducted a survey to determine the mean amount steady smokers spend on cigarettes during a week. A sampie of 110 steady smokers revealed that the sample mean is $20. The population standard deviation is $6. What is the probability that a sampie of 110 steady smokers spend between $19 and $21? Multiple Choice 0.4599 0.0401 0,9198 1.0000 For a distribution of sample means constructed by sampling 3 items from a population of 18, Multiple Choice the sample size is 18 there will be 816 possible sample means the mean of the sample means will be 6 the standard error will be 1 An experiment involves selecting a random sample of 256 middle managers for study. One item of interest is their annual incomes. The sample mean is computed to be $35,420.00. if the population standard deviation is $1,850.00, what is the standard error of the mean? Multiple Choce $115.63 $125.86 $1,850.00 $7.23 The wildlife department has been feeding a special food to rainbow trout fingerlings in a pond. Based ori a large number of observations, the distribution of trout weights is normally distributed with a mean of 402.7 grams and a standard deviation of 9.8 grams. What is the probability that the mean weight for a sample of 42 trout exceeds 405.5 grams? Multiple Choice 0.3882 0.0322 1.0 0.5 Suppose a research firm conducted a survey to determine the mean amount steady smokers spend on cigarettes during a week. A sampie of 110 steady smokers revealed that the sample mean is $20. The population standard deviation is $6. What is the probability that a sampie of 110 steady smokers spend between $19 and $21? Multiple Choice 0.4599 0.0401 0,9198 1.0000

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D The standard error will be 1 A sampling distribution is a probability distribution of a statistic ... View the full answer