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the square root of the original population mean.the original population mean divided by sample size.the same as the original population mean.the sample mean multiplied by variance. Repeating samples of the same sample size from population, the mean of the sample means will = to the oriigncal mean of the population of raw scores. Sample means is an unbiased estimator of the population mean Flag question: Question 16Question 161 ptsFor a t-test with one sample weGroup of answer choiceslose one degree of freedom because we have a samplelose one degree of freedom because otherwise our estimate of the population variance would be biasedlose two degrees of freedom because of the mean and the standard deviationhave N degrees of freedom Flag question: Question 17Question 171 ptsThe standard deviation of a sampling distribution is known as...Group of answer choicesthe standard error.the variance.error.the sampling deviation. Flag question: Question 18Question 181 ptsDividing the variance of the population by the number of subjects in each sample gives us…Group of answer choicesthe standard deviation of the population.the variance of the sampling distribution of means.an estimate of the sample's standard deviation.the average deviation of the distribution of means.

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the square root of the original population mean.the original population mean divided by sample size.the same as the original population mean.the sample mean multiplied by variance. Repeating samples of the same sample size from population, the mean of the sample means will = to the oriigncal mean of the population of raw scores. Sample means is an unbiased estimator of the population mean Flag question: Question 16Question 161 ptsFor a t-test with one sample weGroup of answer choiceslose one degree of freedom because we have a samplelose one degree of freedom because otherwise our estimate of the population variance would be biasedlose two degrees of freedom because of the mean and the standard deviationhave N degrees of freedom Flag question: Question 17Question 171 ptsThe standard deviation of a sampling distribution is known as...Group of answer choicesthe standard error.the variance.error.the sampling deviation. Flag question: Question 18Question 181 ptsDividing the variance of the population by the number of subjects in each sample gives us…Group of answer choicesthe standard deviation of the population.the variance of the sampling distribution of means.an estimate of the sample's standard deviation.the average deviation of the distribution of means.

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Solution

Question 16: For a t-test with one sample we lose one degree of freedom because otherwise our estimate of the population variance would be biased.

Question 17: The standard deviation of a sampling distribution is known as the standard error.

Question 18: Dividing the variance of the population by the number of subjects in each sample gives us the variance of the sampling distribution of means.

Similar Questions

What is the relationship between the mean of a population and the mean of the sampling distribution of the sample mean?*1 pointThey are equal.They are reciprocals of each other.The mean of the population is twice the mean of the sampling distribution.The mean of the sampling distribution is the square root of the population mean.

The mean of the distribution of sample means is equal to... the population mean the mean of the population times sigma the population variance the sample variance

The mean of the sampling distribution of the sample mean of a given population is equal to the  ___________   of that population.*1 pointerror estimatemeanvariancestandard deviation

If an estimator is said to be unbiased, then the population mean equals the sample mean.

The difference between the sample mean and the population mean is calledQuestion 12Select one:a.Standard error of the meanb.Population meanc.Population standard deviation.d.Sampling Error

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