1. Give an appropriate descriptive summary, including
the shape, center, spread and outliers of the distribution, from a set of raw
data.
2. Analyze the relationship between two variables using the scatterplot, correlation
coefficient, and the least squares regression line.
3. Student will be able to use the normal distribution to find approximate solutions
to problems about sample means and sample proportions.
This course introduces data analysis. Topics include
design of experiments, descriptive statistics, correlation and regression, probability,
sampling, estimation, and significance testing. Students use appropriate technology
to analyze real-world data.
MATH 65 or MATH 70 with a grade of “C” or better or qualification through the Math Competency Exam or approved equivalent.
WEEK 7 LECTURES: 8/1 |
WEEK 13 LECTURES: |
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WEEK 8 LECTURES: |
WEEK 14 LECTURES: |
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WEEK 9 LECTURES: |
WEEK 15 LECTURES: |
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WEEK 10 LECTURES: |
WEEK 16 LECTURES: |
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WEEK 11 LECTURES: |
WEEK 17 LECTURES: |
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WEEK 12 LECTURES: |
See the Chapter Handouts
EXAMS
| EXAM
2 (A) EXAM 2 (B) |
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| EXAM 4 |
Constructing a CI using the t-distribution
SYLLABUS AND TENTATIVE SUMMER 2011 SCHEDULE
CHAPTER 11 |
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