## STUDENT LEARNING OUTCOMES:

### Upon successful completion of Math 119, the student should be able to:

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.

### COURSE DESCRIPTION AND SCOPE:

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.

### PREREQUISITE:

MATH 65 or MATH 70 with a grade of “C” or better or qualification through the Math Competency Exam or approved equivalent.

### ANNOTATED LECTURE PDF FILES

 WEEK 1 LECTURES: 6/20 6/21 6/21cont 6/22 6/23 6/23cont WEEK 7 LECTURES: 8/1 WEEK 13 LECTURES: WEEK 2 LECTURES: 6/27 6/28 6/30 (absent) WEEK 8 LECTURES: WEEK 14 LECTURES: WEEK 3 LECTURES: 7/5 7/6 7/7 WEEK 9 LECTURES: WEEK 15 LECTURES: WEEK 4 LECTURES: 7/11 7/12 7/13 WEEK 10 LECTURES: WEEK 16 LECTURES: WEEK 5 LECTURES: 7/18 7/19 7/20 7/21 WEEK 11 LECTURES: WEEK 17 LECTURES: WEEK 6 LECTURES: 7/25 7/27 7/28 7/28cont WEEK 12 LECTURES:

## HOMEWORK:

See the Chapter Handouts

## SOLUTIONS:

EXAMS

 EXAM 2 (A) EXAM 2 (B) EXAM 3 EXAM 4

### Movies

Constructing a CI using the t-distribution

## HANDOUTS:

SYLLABUS AND TENTATIVE SUMMER 2011 SCHEDULE

## WORKSHEETS:

 CHAPTER 1 CHAPTER 5 CHAPTER 9 CHAPTER 2 CHAPTER 6 PRACTICE EXAM 2 CHAPTER 10 CHAPTER 3 PRACTICE EXAM 1:  CH. 1-3 CHAPTER 7 CHAPTER 11 CHAPTER 4 CHAPTER 8 PRACTICE EXAM 3 PRACTICE FINAL (IN ORDER)

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