Exam 9: Sampling Distributions

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The accuracy of the approximation of The accuracy of the approximation of   with a normal distribution depends on the probability distribution of the ____________________ and on the sample ____________________. with a normal distribution depends on the probability distribution of the ____________________ and on the sample ____________________.

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The variance of the sampling distribution of The variance of the sampling distribution of   is ____________________ the variance of the population we're sampling from for all sample sizes. is ____________________ the variance of the population we're sampling from for all sample sizes.

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Suppose the ages of students in your program follow a positively skewed distribution with mean of 24 years and a standard deviation of 4 years.If we randomly sampled 100 students,which of the following statements about the sampling distribution of the sample mean age is NOT true?

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The amount of bleach a machine pours into bottles has a mean of 50 ounces with a standard deviation of 0.25 ounces.Suppose we take a random sample of 36 bottles filled by this machine.The sampling distribution of the sample mean has a standard error of 0.25 ounces.

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A sample of 250 observations is selected at random from an infinite population.Given that the population proportion is .25,the standard error of the sampling distribution of the sample proportion is:

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Average Annual Revenue Suppose that the average annual revenue of a small business is $150,000 with a standard deviation of $40,000.Assume that the revenue distribution is normal. ​ ​ -{Average Annual Revenue Narrative} What is the probability that one business selected at random makes less than $120,000?

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If two random samples of sizes n1 and n2 are selected independently from two populations with variances If two random samples of sizes n<sub>1</sub> and n<sub>2</sub> are selected independently from two populations with variances   and   ,then the standard error of the sampling distribution of the sample mean difference,   ,equals: and If two random samples of sizes n<sub>1</sub> and n<sub>2</sub> are selected independently from two populations with variances   and   ,then the standard error of the sampling distribution of the sample mean difference,   ,equals: ,then the standard error of the sampling distribution of the sample mean difference, If two random samples of sizes n<sub>1</sub> and n<sub>2</sub> are selected independently from two populations with variances   and   ,then the standard error of the sampling distribution of the sample mean difference,   ,equals: ,equals:

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The expected value of The expected value of   is ____________________. is ____________________.

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If a random sample of size n is drawn from a normal population,then the sampling distribution of the sample mean If a random sample of size n is drawn from a normal population,then the sampling distribution of the sample mean   will be: will be:

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The standard deviation of The standard deviation of   is also called the ____________________ of the sample proportion. is also called the ____________________ of the sample proportion.

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A sample of size n is selected at random from an infinite population.As n increases,the standard error of the sample mean increases.

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A randomly selected value of A randomly selected value of   is likely to be ____________________ to(than)the mean of the population than is a randomly selected value of X. is likely to be ____________________ to(than)the mean of the population than is a randomly selected value of X.

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If two populations are normally distributed,the sampling distribution of the difference in the sample means, If two populations are normally distributed,the sampling distribution of the difference in the sample means,   ,is: ,is:

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The owner of a meat market has an assistant who has determined that the weights of roasts are normally distributed,with a mean of 3.2 pounds and standard deviation of 0.8 pounds.If a sample of 25 roasts yields a mean of 3.6 pounds,what is the Z-score for this sample mean?

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If two samples are selected independently from two non-normal populations,then the sampling distribution of If two samples are selected independently from two non-normal populations,then the sampling distribution of   is only approximately normal provided that either n<sub>1</sub> or n<sub>2</sub> is 30 or more. is only approximately normal provided that either n1 or n2 is 30 or more.

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The Central Limit Theorem states that,if a random sample of size n is drawn from a population,then the sampling distribution of the sample mean The Central Limit Theorem states that,if a random sample of size n is drawn from a population,then the sampling distribution of the sample mean   : :

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Poker Time The amount of time spent by American adults playing Poker per week is normally distributed with a mean of 4 hours and standard deviation of 1.25 hours. ​ ​ -{Poker Time Narrative} Find the probability that if four American adults are randomly selected,all four play Poker for more than 5 hours per week.

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If all possible samples of size n are drawn from an infinite population with standard deviation 8,then the standard error of the sample mean equals 1.0 if the sample size is 64.

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The estimator of the probability of success in a binomial distribution is: ____________________.

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Number of Fish Tanks The following data give the number of fish tanks owned for a population of 4 families.  Number of Fish Tanks  The following data give the number of fish tanks owned for a population of 4 families.   ​ ​ -{Number of Fish Tanks Narrative} List all possible samples of 2 families that can be selected without replacement from this population,and compute the sample mean   for each sample. ​ ​ -{Number of Fish Tanks Narrative} List all possible samples of 2 families that can be selected without replacement from this population,and compute the sample mean  Number of Fish Tanks  The following data give the number of fish tanks owned for a population of 4 families.   ​ ​ -{Number of Fish Tanks Narrative} List all possible samples of 2 families that can be selected without replacement from this population,and compute the sample mean   for each sample. for each sample.

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