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15 Cards in this Set
- Front
- Back
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Distribution of Means Rule 1: Formula: |
the mean of the distribution of means is the same as the mean of pop of individuals
um=u |
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Distribution of Means Rule 2a:
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the variance of distribution of means is the variance of the pop of individuals divided by the number of individuals in each sample |
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Distribution of means Rule 2b: |
the standard deviation of the distribution of means is the square root of the variance |
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Distribution of means Rule 3: The shape is normal if either |
each sample consists of 30 or more individuals
the population distribution is normal |
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Three different kinds of distributions: |
Population of individuals Particular sample Means |
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The Z test Distribution of means is the _________ when a sample has more than one individual |
comparison distribution |
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What is the best estimate when the population mean is unknown? |
sample mean |
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The variation in means of samples from a pop is the variation in the distribution of means is called |
standard error of mean (om) |
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What is the logic of standard error of mean 1. 2. |
any statistic computed for a sample will not be to the population parameters
samples provide an estimate of a population |
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What does the standard error of mean represnt? |
natural descrepancies or amount of error btwn sample statistic and its corresponding population parameter |
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Confidence Intervals |
the range of scores that is likely to include the true population mean |
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Confidence Limits |
the upper and lower range of confidence interval |
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Confidence limits help us to |
determine if our estimated population mean is close to our sample mean |
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First step in figuring confidence limits: |
figure the standard error |
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Second Step in figuring confidence limits" |
figure raw score for the UL and LL |
