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cs180_lab1 [2021/01/11 16:45]
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cs180_lab1 [2021/01/11 19:05]
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-=====Lab 1: Nutrition Analysis:​=====+=====Literacy ​Lab 1: Nutrition Analysis:​=====
  
-This is your first lab!+This is your first literacy ​lab!  The goal is to start thinking about how to interpret data.
  
 ====Objective:​==== ====Objective:​====
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   * The article’s print version states “Experts disagree almost as much as non-experts.” Find evidence of this in the graph. (Hint: Examine the ratings of foods on the y = x line.)   * The article’s print version states “Experts disagree almost as much as non-experts.” Find evidence of this in the graph. (Hint: Examine the ratings of foods on the y = x line.)
   * Describe the cluster of foods on y = x (27 percent of foods); the cluster in y > x region (44 percent); the cluster in y < x region (29 percent). Hypothesize what these the foods in a cluster and their ratings have in common.   * Describe the cluster of foods on y = x (27 percent of foods); the cluster in y > x region (44 percent); the cluster in y < x region (29 percent). Hypothesize what these the foods in a cluster and their ratings have in common.
-  * How were the foods picked for the surveys? Based on what it says in the article, do you think this would give a broad sample of foods that are commonly eaten? (Hint: Why is there a gap in the middle of the graph?) +  * How do you think the foods were picked for the surveys? (Hint: Why is there a gap in the middle of the graph?)
-  * How was the data collected? Based on what it says in the article, do you think this would give a reasonable sample of the general public and nutritionists?​ If not, why not? What could they have done differently?​+
   * Why do steak and hamburgers rate so different? How about American and Cheddar cheese?   * Why do steak and hamburgers rate so different? How about American and Cheddar cheese?
  
cs180_lab1.txt · Last modified: 2021/06/30 23:42 (external edit)