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What would happen to the sampling distribution of the mean if you increased the sample size from 5 to 25?
The variance of the estimate for the mean would be reduced.
Advantages and disadvantages of using arithmetic mean?
"The advantage is that the mean takes every value into account. A disadvantage is that it can be affected by extreme values. " The mean or more properly the "arithmetic mean" of a sample will eventually approximate the mean of the distribution of the population as the sample size increases. If the population distribution is skewed (not symmetrical), the mode and median will not provide an estimate of the mean, even as the sample size becomes large.
How do you find the raw score when you don't have the z score?
Go back to the basic data, estimate the sample mean and the standard error and use these to estimate the Z-score.
What is the difference between statistics and parameters?
Parameter is any attribute Statistic are the measured values of a parameter. A statistic is a sample value such as the average height of a group of students. A parameter is a functional constant such as the mean of a normal distribution. Statistics are often used to estimate parameters. For instance, a sample average is an estimate of the mean.
Why wont a sample statistics change from sample to sample?
The sample mean may differ from the population mean, especially for small samples.
