Year 2 - Chapter 3 w/ The Normal Distribution Flashcards
What are the properties of a bell-curved graph?
✯ Has a bell-shaped curve.
✯ Symmetrical about the mean.
✯ Mean = Mode = Median for a normal distribution.
✯ Area under curve represents probability (adds up to 1).
At which point does the point of inflection on a normal distribution curve occur at?
μ + or - σ
How much of the data is within one standard deviation of the mean?
68%
How much of the data is within two standard deviations of the mean?
95%
How much of the data is within three standard deviations of the mean?
99.7%
Suppose we have a normal distribution
X ~ N (μ, σ^2)
When standardised, what does the distribution look like?
X ~ Z (0,1)
How else can P (Z<z) be represented?
Φ (z)
How can we find z?
X-μ/σ
or..
Use the percentages point table when given P(Z > z) = p
When can standardise a normal distribution?
We can standardise a normal distribution when an unknown must be find (such as μ)
What two conditions need to be met when approximating the binomial distribution?
- N has to be large (>50)
- P has to be close to 0.5
N is the number of trials
P is the fixed probability of success.
When approximating the binomial distribution, how can we find μ and σ?
μ = n x p = np
σ = √(np)(1-p)
What are the seven steps needed for hypothesis testing with the normal distribution?
- Define variable
- Write normal distribution
- Write down ND with sample mean.
- Write hypothesis (H0, H1)
- Calculate probability
- Choose to accept or reject hypothesis
- Conclusion in context.
What must we always do when dealing with normal approximation w/ binomials?
CONTINUITY CORRECTION!