Survey

* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project

Transcript

**IF YOU WANT TO COPY THIS, DO IT BEFORE CLASS STARTS DEFINITION: Normal distribution and Normal curve A Normal distribution is described by a Normal density curve. Any particular Normal distribution is completely specified by two numbers: its mean μ and standard deviation σ. The mean of a Normal distribution is at the center of the symmetric Normal curve. The standard deviation is the distance from the center to the changeof-curvature points on either side. We abbreviate the Normal distribution with mean μ and standard deviation σ as N(μ, σ). Normal Distributions All Normal curves have the same overall shape: symmetric, single-peaked, bellshaped. Any specific Normal curve is completely described by giving its mean μ and its standard deviation σ. DEFINITION: The 68–95–99.7 rule In the Normal distribution with mean\ μ and standard deviation σ: Approximately 68% of the observations fall within σ of the mean μ. Approximately 95% of the observations fall within 2σ of μ. Approximately 99.7% of the observations fall within 3σ of μ. Z scores intro video https://www.youtube.com/watch?v=1xhCL5m4nI0 Pass out z tables https://www.youtube.com/watch?v=85G_PLBTX00 May the 4th … be with you