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Unit: Modeling data distributions

AP Stats:
UNC (BI)
,
UNC‑1 (EU)
,
VAR (BI)
,
VAR‑2 (EU)

0

Possible mastery points
AP Stats:
VAR (BI)
,
VAR‑2 (EU)
,
VAR‑2.B (LO)
,
VAR‑2.B.1 (EK)
,
VAR‑2.B.2 (EK)
,
VAR‑2.C (LO)
,
VAR‑2.C.1 (EK)
AP Stats:
UNC (BI)
,
UNC‑1 (EU)
,
UNC‑1.J (LO)
,
UNC‑1.J.4 (EK)
Level up on the above skills and collect up to 400 Mastery points
AP Stats:
UNC (BI)
,
UNC‑1.F (LO)
,
UNC‑1.F.2 (EK)
,
UNC‑1.M (LO)
,
UNC‑1.M.2 (EK)
,
VAR‑6.A.1 (EK)
AP Stats:
VAR (BI)
,
VAR‑2 (EU)
,
VAR‑2.A (LO)
,
VAR‑2.A.2 (EK)
,
VAR‑2.A.3 (EK)
,
VAR‑2.A.4 (EK)
Level up on the above skills and collect up to 600 Mastery points
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Unit test

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About this unit

This unit takes our understanding of distributions to the next level. We'll measure the position of data within a distribution using percentiles and z-scores, we'll learn what happens when we transform data, we'll study how to model distributions with density curves, and we'll look at one of the most important families of distributions called Normal distributions.
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