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18 Cards in this Set
- Front
- Back
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What is Quantitative data?
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data that is measured on a continuous number scale
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What is Categorical (qualitative) data?
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values or observations that can be sorted into groups or categories
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What is a Distribution?
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values collected and their frequency
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What is a Histogram?
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a Frequency Distribution. Specific to quantitative data. A series of bars of varying heights showing overall shape (whether symmetrical or skewed.)
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Which measure of centre is more robust and why?
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Median, because it is not affected by extreme values (outliers)
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What is a Median?
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the middle value. 50% of the data falls above and 50% falls below this value.
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What is IQR?
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IQR is interquartile range. Q3-Q1.
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How do you check for outliers?
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the lower boundary is: Q1 - (1.5 x IQR)
the upper boundary is: Q3 + (1.5 x IQR) Mark with an asterisk * |
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When describing skew, how do you describe which way something is skewed?
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the skew is directional according to which way the tail is going.
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What is the formula for calculating a z-score?
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z = x - u / o
(z equals x minus mew divided by sigma) |
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in a Normal Distribution, where are the Median and the Mean located?
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In the same place, in the middle of the curve.
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In a curve that is skewed to the right, there is _____ skew
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negative
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In a curve that is skewed to the left, there is ______ skew.
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positive
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What is another name for the 68-95-99.7 rule?
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The Empirical Rule
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What does the 68-95-99.7 rule indicate?
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68% of the data falls between + or - 1 SD from the mean.
95% of the data falls between + or - 2 SD from the mean. 99.7% (nearly all) of the data falls between + or - 3 SD from the mean. |
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When comparing boxplots, what features can you compare them on?
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Centre: where is the median?
Spread: IQR Shape: are they symmetrical or skewed? Outliers: check for outliers? |
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Z-Scores use which table?
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Table A
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Categorical (qualitative data) can be concerned with proportions. True or False?
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True.
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