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Key ideas
Key ideas
Awareness of the natural occurrence of the normal distribution.
I can use the rule of thumb that approximately 68% of the data lies between , 95% lies between μ ± 2σ and 99.7% of the data lies between μ ± 3σ
I can explain how to standardise of normal variables ( - values)
I can do inverse normal calculations where the mean and standard deviation are unknown.
Normal Distribution and Z scores
Normal Distribution and Z scores
Normal Distribution and Z-scores - Example 1 Here we look at how to standardize a normal distribution so that we can read values using z-scores and standard normal table.
Normal Distribution and Z-scores - Example 2 Here we look at how to standardize a normal distribution so that we can read values using z-scores and standard normal table.
Normal Distribution and Z-scores - Example 3 Here we look at how to standardize a normal distribution so that we can read values using z-scores and standard normal table.
Normal Distribution and Z-scores - Example 4 Here we look at how to standardize a normal distribution so that we can read values using z-scores and standard normal table.
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