For the Chapter 11 ESP Investigation, be sure you do the following:
1. Describe how you are conducting your simulation
2. Describe what your response variable is
3. Report the results for each trial
4. Summarize your results
5. State a conclusion that is backed by your analysis
Tuesday, November 30, 2010
Friday, November 12, 2010
AP Stat: US Census Population Totals
Here's the US Population data that we looked at in class. You are to re-express the data so that it yields an appropriate linear model. Please be sure to check your residuals.
2010 310,232,863
2000 281,421,906
1990 248,709,873
1980 226,542,199
1970 203,302,031
1960 179,323,175
1950 151,325,798
1940 132,164,569
1930 123,202,624
1920 106,021,537
1910 92,228,496
1900 76,212,168
1890 62,979,766
1880 50,189,209
1870 38,588,371
1860 31,443,321
1850 23,191,876
1840 17,069,453
1830 12,866,020
1820 9,638,453
1810 7,239,881
1800 5,308,483
1790 3,929,214
2010 310,232,863
2000 281,421,906
1990 248,709,873
1980 226,542,199
1970 203,302,031
1960 179,323,175
1950 151,325,798
1940 132,164,569
1930 123,202,624
1920 106,021,537
1910 92,228,496
1900 76,212,168
1890 62,979,766
1880 50,189,209
1870 38,588,371
1860 31,443,321
1850 23,191,876
1840 17,069,453
1830 12,866,020
1820 9,638,453
1810 7,239,881
1800 5,308,483
1790 3,929,214
Monday, November 8, 2010
AP Stat: Smoking Investigation Feedback
You are to comment on at least two reports in the discussion section of the AP Stat wiki.
Here are a few things to look for when giving feedback on the Smoking Investigation report:
1. Were the W’s addressed in the paper?
2. How did the person demonstrate that a linear model is appropriate?
3. Are graphs labeled and understandable?
4. Was the model described in context and written using proper notation?
5. Do any predictions made using the model look reasonable?
Here are a few things to look for when giving feedback on the Smoking Investigation report:
1. Were the W’s addressed in the paper?
2. How did the person demonstrate that a linear model is appropriate?
3. Are graphs labeled and understandable?
4. Was the model described in context and written using proper notation?
5. Do any predictions made using the model look reasonable?
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