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17 Cards in this Set
- Front
- Back
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standardizing |
transforming a normal curve (doing an equal value exchange) |
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p-value |
the probability of observing your statistic or a value more extreme if Ho is true` |
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type 1 error |
reject Ho when Ho is true |
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type 2 error |
fail to reject Ho when Ho is false |
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significance level |
the chance of making a type 1 error |
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central limit theorem |
if you collect a large sample from any population, then the distribution ofx̄ will be approximately normal |
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descriptive statistics |
the branch of statistical science that attempts to summarize and describe data by using graphical and numerical techniques |
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measures of center |
attempt to locate the bulk of the data(mean, median, and mode) |
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measures of spread |
attempt to quantify how clustered or dispersed the data are |
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residual
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what's left over, how much you miss the line by
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the line of best fit
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the line that minimizes the total of all the squared residuals. least squares line
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extrapolate
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making predictions outside of data area. It's very dangerous.
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theoretical trend line
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y=β1X + βo
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βo
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the intercept of the theoretical linear trend between x and y
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β1
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the slope of the theoretical linear trend between x and y
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ρ
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population correlation coefficient. it describes the theoretical strength of the association between x and y
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σ
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standard deviation of scatter around the trend line
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