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   Statistics / Mr. Hansen  | 
  
   
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                    Name:
  __________________________________  | 
 
Test
on Chapters 13 and 14
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   Instructions and Scoring. 
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   1.  | 
  
   The owner of a bakery claims
  that her loaves have weight that is normally distributed with mean 16.2 oz.
  and s.d. 0.8 oz.   | 
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   (a)  | 
  
   Assuming that this is true,
  fill in the following chart for an SRS of 250 loaves. Give all answers to 3 decimal
  places, and verify that the percentages add to 100% except for possible
  rounding errors.  | 
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   Weight  | 
  
   %
  expected (probability)  | 
  
   Number
  of loaves expected  | 
 
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   less than 15 oz.  | 
  
   ______ %  | 
  
   ______  | 
 
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   (b)  | 
  
   What do
  the expected number of loaves add up to?  | 
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   (c)  | 
  
   Here are some observations for
  the SRS of 250 loaves.  | 
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   Weight  | 
  
   Observed
  frequency  | 
  
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   less than 15 oz.  | 
  
   8%  | 
  
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   Conduct a goodness-of-fit
  test, showing all steps. Is there evidence to refute the baker’s initial
  claim?  | 
 
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   2.  | 
  
   Researchers are interested
  in the relationship between GPA and time spent playing video games for
  students at Bali High School. Specifically, they wish to know whether video
  gaming time can be used as a predictor of GPA. The following data came from
  an SRS of students:  | 
 
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   GPA  | 
  
   Video
  Gaming Time (Hrs./Wk.)  | 
  
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   2.4  | 
  
   6  | 
  
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   (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.  | 
 
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   (b)  | 
  
   Using video game time as a
  predictor of GPA, state the line of best fit as a mathematical model in which
  variables are defined.  | 
 
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   (c)  | 
  
   Interpret the slope in part
  (b) in the context of the problem, using words such as “video gaming time”
  and “GPA.” Your answer should make sense to someone who has studied little or
  no statistics.  | 
 
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   (d)  | 
  
   Compute a 95% confidence
  interval for the slope of the linear regression model.  | 
 
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   (e)  | 
  
   Perform a significance test
  for the proposition that the true slope is positive. Show all steps.  |