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Suppose we repeatedly take samples of size 100 from the population distribution, calculate a sample mean...

Suppose we repeatedly take samples of size 100 from the population distribution, calculate a sample mean each time, and plot those sample means in a histogram. The histogram we created would be an example of a (variable, population, distribution, sampling distribution???) . According to the central limit theorem, the histogram would have a shape that is approximately (left skewed, right skewed or normal???) , with mean  (give a number???) and standard deviation  (give a number??). The standard deviation of the statistic under repeated sampling is called the (absolute error, standard error, deviation, absolute deviation???). The middle 95% of the histogram we created lies between  and  (give numbers for both blanks with the smaller number listed first???).

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