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  1. Sampling Distributions: The Mean. - measure a sample mean to estimate the value of the population mean. - to determine how well a sample mean actually estimates a population mean, you must construct a sampling distribution. - Sample mean from a randomly selected sample to be equal to the population mean. M = µ.

  2. symmetrical distribution of values (mean=median) expected when a sample is taken from a large population; forms a bell-shaped curve called the normal curve standard error of the mean a measure of precision, the index that tells us how much a particular mean is likely to vary from one sample to another when all samples are drawn from the same ...

  3. Mar 23, 2024 · The standard deviation tells us how much observations in our sample differ from the mean value within our sample. The standard error tells us not about how the sample mean represents the sample itself, but how well the sample mean represents the population mean.

  4. For a large sample size, the sample mean is approximately normally distributed, regardless of the distribution of the variable under consideration. The approximation becomes better with increasing sample size. Study with Quizlet and memorize flashcards containing terms like Sampling Error, Sample Size and Sampling Error, Mean of the Sample Mean ...

  5. The _____ is determined by adding up all of the values in a data set and dividing by the sample size. Mean If the p value for a two-tailed T test was 0.145, this indicates that the difference between means is due to variance and is not statistically significant.

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