Week One Learning Outcomes
This week students will:
1. Construct frequency distributions, histograms, stem and leaf charts, pie charts and Pareto charts.
2. Calculate measures of central tendencies and variations, including the quartiles and percentiles.
3. Research and report on misleading graphs.
Week Two Learning Outcomes
This week students will:
1. Compute the correlation coefficient r and linear regression line.
2. Predict one variable from another.
3. Graph scatter plot and linear regression lines.
Week Three Learning Outcomes
This week students will:
1. Find the probability of an event.
2. Compute probabilities that involve unions and intersections.
3. Calculate conditional probabilities.
4. Competently apply Bayes’ Theorem.
5. Explain when, how, and why to use the binomial distribution.
Week Four Learning Outcomes
This week students will:
1. Utilize the normal distribution.
2. Explain when and how to use the sampling distribution of a statistic.
3. Compute the sample mean and standard deviation of a sampling distribution.
4. Explain when and how to use the central limit theorem.
Week Five Learning Outcomes
This week students will:
1. Calculate and interpret a large sample confidence interval.
2. Calculate and interpret a small sample confidence interval.
3. Explore how to use and when to use hypothesis testing.
Week Six Learning Outcomes
This week students will:
1. Research Bootstrapping in hypothesis testing.
