Fichas
AP Statistics

Fichas del conjunto (13)
- 15 number summaryA summary of quantitative data consisting of its minimun, first quartile,median,third quartile and maximum in a data set.

- 2Box and Whisker, BoxplotsAn illustration of the location of 25,50,75 and 100% of the data and where it stands on top of a number line.

- 3Interquartile Range, IQRis found with the formula Q3-Q1, this measures the range of the middle 50% of the data.

- 4OutliersAn observation that is drastically smaller/larger than the rest of the data and defies the distribution shape and tendencies.
Note: the residual from the predicted value according to the LSRL is large
- 5bar graphBars representing categorized values with its category on the explanatory axis and value on the responsive axis

- 6In order to fully compare distributions highlight the CUSS-Center (mean, median, midrange)
-Unusual features (outliers, gaps, clusters)
-Spread (IQR, range, variance, standard deviations)
-Shape (skewed left/right, symmetric)
Note: Make sure the response is in context of the problem presented, use comparative words like larger, smaller and descriptive words such as slightly, fairly or relatively. - 7Stem plots REQUIRE a . . . KEYKEY

- 8Bimodal distributionsAny distribution that has two values that were heavily populated, also known as peaks

- 9UnimodalAny distribution that has one value that is heavily populated, also known as a peak.

- 10Percentile and decilesA specific point of a distribution of data that has a given percentage below it.
the value below which a given percentage of observations in a group of observations fall. For example, the 20th percentile is the value (or score) below which 20% of the observations may be found.
- 11Z-score/Standardized score Z= Xi - μ / σDistance from the Mean (average, μ) units of standard deviation (σ)
- 12Standard deviation, σThe typical distance between the observations from the mean.

- 13Variance

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- Descripción
- Fichas sobre AP Statistics , creado por Liź Monæ el 13/01/2018.
- Creado por
- Liź Monæ
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