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20 Cards in this Set
- Front
- Back
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What is Sxx? |
(∑X²) - [(∑X)² ÷ n] |
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What is Sxy? |
(∑xy) - [(∑x∑y)÷n)
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What are the Venn Diagram rules? |
P(A∪B) = P(A) + P(B) - P(A∩B) P(A') = 1-P(A) P(A/B) = P(A∩B) ÷ P(B) |
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If data is independent what are the probability rules? And what does mean the data does? |
P(A∩B) = P(A) x P(B) P(A/B) = P(A) The data doesn't effect one another. |
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If the data is Mutually Exclusive what are the rules? And what does this mean the data does? |
P(A∩B) = 0 P(A∪B) = P(A) + P(B) This means the circles do not cross |
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What is the interpolation formula? |
Lb+ [(Pl÷Gf)xCw] Lb = Lower bound Pl = Place in group Gr = Group frequency Cw = Class width |
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What is the formula for the PMCC? and what is it? (Product Moment Correlation Co-efficient) |
r = Sxy ÷ (√Syy x Sxx) Show the correlation of data. If; r=1 ∴Positive Correlation r=0 ∴No Correlation r=-1 ∴ Negative Correlation |
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What is the formula for regression and what is it? |
y = a +bx b = Sxy ÷ Sxx a = ⁻y - b⁻x It is the equation of the line of best fit |
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What is the equation for the mean? |
⁻x = (∑x÷n) = (∑ƒx÷∑ƒ) |
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What is the equation for Standard Deviation? |
δ = √(∑x² ÷ n) - (⁻x)²
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What is the equation for the variance? |
δ²=(∑x² ÷ n) - (⁻x)²
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What is the equation to work out the skew? |
[3(mean-median)]÷δ |
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If a graph has a positive skew where is the tail of the graph and what does its box plot look like? |
The tail will be towards 0 The box plot will have the bulk of its data on the right |
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If a graph has a negative skew where is the tail of the graph and what does its box plot look like? |
The tail will be towards the right The box plot will have the bulk of its data on the left |
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If a graph has a neutral skew where is the tail of the graph and what does its box plot look like? |
The tail will be in the middle The box plot will have the bulk of its data evenly distributed |
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What are the equations to find anomolies? |
Q3 + (1.5 x IQR) Q1 + (1.5 x IQR) |
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What does; 1) ∑P(X=x) 2) F(x) 3) M 4) m mean? |
1)∑P(X=x) =1 2) F(x) = the cumulative frequency up to the point of x 3) M = description of the discrete random variable 4) m = possible outcomes and always numerical |
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What formulas are ONLY needed in Discrete Uniform Distribution? |
P(X=xr) =1 ÷ n ∑(x) = (n+1) ÷ 2 Var(x) = (n²-1) ÷ 12 |
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In normal distribution what does '∼' stand for? |
∼ means 'is distributed'
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How do you work out Z in normal distribution? |
Z=[X - ∑(x)] ÷ δ |
