| 
   Statistics / Mr. Hansen  | 
  
   
  | 
  
                    Name:
  __________________________________  | 
 
Test
on Chapters 13 and 14, Version 2
| 
   Instructions and Scoring. 
  | 
 |
| 
   | 
  
   | 
 
| 
   1.  | 
  
   An AP Statistics teacher at
  an eastern prep school is curious if there is an association between eye color
  and sock-wearing behavior. He has performed a census of the upper three forms
  and has obtained the following data:  | 
 ||
| 
   | 
  
   | 
 ||
| 
   | 
  
   Proper
  Socks  | 
  
   Improper
  Socks (not crew style)  | 
  
   Total  | 
 
| 
   | 
  
   68  | 
  
   12  | 
  
   95  | 
 
| 
   | 
  
   | 
 ||
| 
   | 
  
   Note that some students do
  not wear socks. The first row is for brown- or black-eyed students, the
  second row is for green- or hazel-eyed students, and the third row is for
  blue-eyed students or students with a color not listed.  | 
 ||
| 
   | 
  
   | 
 ||
| 
   (a)  | 
  
   Explain why the table shown
  above is not a 2-way table. Transform it into a 2-way table with 3 rows and 3
  columns. Write your table with row and column labels, and raise your hand
  before continuing.  | 
 ||
| 
   | 
  
   | 
 ||
| 
   (b)  | 
  
   Show your work for the calculation
  of the expected count for the cell in row 2, column 2.  | 
 ||
| 
   | 
  
   | 
 ||
| 
   (c)  | 
  
   What do the data show
  regarding the research question? Show all steps, but your work can be
  extremely abbreviated.  | 
 ||
| 
   2.  | 
  
   Researchers are interested
  in the relationship between weight and vocabulary size for Lower Schoolers. Specifically, they wish to know whether weight
  can be used as a predictor of the number of words a student has in his
  vocabulary. The following data came from an SRS of students:  | 
 
| 
   | 
  
   | 
 |||
| 
   | 
  
   
  | 
  
   Estimated
  Vocabulary  | 
  
   | 
  
   | 
 
| 
   | 
  
   75  | 
  
   9  | 
  
   | 
  
   | 
 
| 
   | 
  
   | 
 |||
| 
   (a)  | 
  
   Describe the relationship between
  the variables, using words that indicate the context of the problem. Provide
  at least one diagram and at least one piece of quantitative evidence to
  support your claim.  | 
 
| 
   | 
  
   | 
 
| 
   (b)  | 
  
   Using weight as a predictor
  of vocabulary, state the line of best fit as a mathematical model in which
  variables are defined.  | 
 
| 
   | 
  
   | 
 
| 
   (c), (d)  | 
  
   Interpret both the slope
  and the y-intercept
  in part (b) in the context of the problem, using words such as “weight” and “vocabulary.”
  Your answers should make sense to someone who has studied little or no
  statistics.  | 
 
| 
   | 
  
   | 
 
| 
   (e)  | 
  
   Compute the standard error
  of the slope (what the AP would call “standard deviation of the slope”) for
  the linear regression model. Show brief work only.  | 
 
| 
   | 
  
   | 
 
| 
   (f)  | 
  
   Perform a significance test
  for the proposition that the true correlation coefficient is positive. Show
  all steps.  | 
 
| 
   | 
  
   | 
 
| 
   (g)  | 
  
   BONUS:
  What lurking variable would probably serve as a better predictor of
  vocabulary size?  |