Chapter 4: More on Two-Variable Data

 

Key Vocabulary:

 
 

§         exponential function

§         power function

§         linear growth

§         exponential growth

§         extrapolation

§         lurking variables

§         causation

§         common response

§         confounding

§         marginal distributions

§         conditional distributions

§         Simpson’s paradox

 

 Calculator Skills:

§         LOG

§         LinReg(a + bx)

§         LinReg(ax + b)

 

4.1    Modeling Nonlinear Data (pp.195-224)

1.      State the addition rule for logarithms.  Give an example.

2.      State the subtraction rule for logarithms.  Give an example.

3.      State the power rule for logarithms.  Give an example.

4.      Explain the difference between linear growth and exponential growth.

5.      If the graph of the ordered pairs (x, y) is exponential, what type of graph is (x, logy)?

6.      If the graph of the ordered pairs (x, y) is exponential, what type of graph is (logx, logy)?


4.2    Interpreting Correlation and Regression (pp.225-240)

1.      What is extrapolation?

2.      Define lurking variable.

3.      If two variables have a strong positive association, then as one variable increases, the other variable also increases.  Is it fair to say that an increase in one variable causes an increase in the other variable?  Explain.

 

4.      Define causation.  Give an example.

 

5.      Define common response.  Give an example.

 

6.      Define confounding.  Give an example.

 

 

 

 

 


 

4.3    Relations in Categorical Data (pp.241-256)

1.      Insert your own notes…