Applied 2 - Chapter 1+2
thomas.payne
Created on July 9, 2024
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Transcript
LO's
Chapter 1 - Regression, Correlation and Hypothesis Testing
Ans A
Ans B
Related
New
Old
Knowledge check 1
AS
y dπ₯
A = lw
b2-4ac
AS
y dπ₯
A = lw
b2-4ac
1.1 - Exponential models
AS
y dπ₯
A = lw
b2-4ac
1.1 - Exponential models
Rules
AS
y dπ₯
A = lw
b2-4ac
1.1 - Exponential models
AS
y dπ₯
A = lw
b2-4ac
1.2 - Measuring correlation
Rules
AS
y dπ₯
A = lw
b2-4ac
1.2 - Measuring correlation
Rules
AS
Rules
y dπ₯
A = lw
b2-4ac
1.3 - Hypothesis testing for zero correlation
Rules
AS
Rules
y dπ₯
A = lw
b2-4ac
1.3 - Hypothesis testing for zero correlation
LO's
Chapter 2 - Conditional probability
Ans A
Ans B
Related
New
Old
Knowledge check 1
AS
y dπ₯
A = lw
b2-4ac
Rules
AS
y dπ₯
A = lw
b2-4ac
2.1 - Set notation
Rules
AS
y dπ₯
A = lw
b2-4ac
2.1 - Set notation
Rules
AS
y dπ₯
A = lw
b2-4ac
2.2 - Conditional probability
Rules
AS
y dπ₯
A = lw
b2-4ac
2.2 - Conditional probability
Rules
AS
y dπ₯
A = lw
b2-4ac
2.3 - Conditional probabilities in Venn diagrams
Rules
AS
y dπ₯
A = lw
b2-4ac
2.4 - Probability formulae
Rules
AS
y dπ₯
A = lw
b2-4ac
2.4 - Probability formulae
Rules
AS
y dπ₯
A = lw
b2-4ac
2.5 - Tree diagrams
Foundation
Higher
A Level
y dπ₯
Logs
dx
dy
f(π₯+a)
b2-4ac
Foundation
Higher
A Level
Foundation
Higher
A Level
y dπ₯
Logs
dx
dy
f(π₯+a)
b2-4ac
Chapter 1 Learning Objectives
- Understand exponential models in bivariate data.
- Use a change of variable to estimate coefficients in an exponential model.
- Understand and calculate the product moment correlation coefficient.
- Carry out a hypothesis test for zero correlation.
Chapter 2 Learning Objectives
- Understand set notation in probability.
- Understand conditional probability.
- Solve conditional probability problems using two-way tables and Venn diagrams.
- Use probability formulae to solve problems.
- Solve conditional probability using tree diagrams.
y dπ₯
Logs
dx
dy
f(π₯+a)
b2-4ac
Foundation
Higher
A Level
y dπ₯
Logs
dx
dy
f(π₯+a)
b2-4ac
Foundation
Higher
A Level
y dπ₯
Logs
dx
dy
f(π₯+a)
b2-4ac
Foundation
Higher
A Level
y dπ₯
Logs
dx
dy
f(π₯+a)
b2-4ac
y dπ₯
Logs
dx
dy
f(π₯+a)
b2-4ac
Foundation
Higher
A Level
Foundation
Higher
A Level
y dπ₯
Logs
dx
dy
f(π₯+a)
b2-4ac
Foundation
Higher
A Level
y dπ₯
Logs
dx
dy
f(π₯+a)
b2-4ac
Foundation
Higher
A Level
y dπ₯
Logs
dx
dy
f(π₯+a)
b2-4ac
Foundation
Higher
A Level
y dπ₯
Logs
dx
dy
f(π₯+a)
b2-4ac
y dπ₯
Logs
dx
dy
f(π₯+a)
b2-4ac
Foundation
Higher
A Level
y dπ₯
Logs
dx
dy
f(π₯+a)
b2-4ac
Foundation
Higher
A Level
y dπ₯
Logs
dx
dy
f(π₯+a)
b2-4ac
Foundation
Higher
A Level
y dπ₯
Logs
dx
dy
f(π₯+a)
b2-4ac
Foundation
Higher
A Level
Foundation
Higher
A Level
y dπ₯
Logs
dx
dy
f(π₯+a)
b2-4ac
Foundation
Higher
A Level