Note: This outline is a working
document for the department. It reflects our current coverage plans for
Statistics, but is likely to be revised somewhat during the year. We hope
you will find it useful as an overview of the course and as an approximation
of what topics will be covered.
Course Goals:
To incorporate activity based statistics
To construct, draw inferences, and reason with charts, tables, and graphs that summarize data from real-world situation
To use sampling to recognize and describe its role in statistical claims.
To use simulations to estimate probabilities.
To generate experimental probabilities, as appropriate, to represent problems involving uncertainty.
To apply the concept of a random variable.
To determine the likelihood of outcomes, using theoretical probabilities.
To interpret discrete probability distributions.
To integrate technology using the TI-83 Graphing Calculator and / or Applicable computer software.
To actively engage students in problem solving algorithms.
To enhance the development of critical thinking and to evaluate arguments that are based on data analysis.
Course Content:
Unit I - Exploring Data: Distributions
Topic 1 Data and Variables
Topic 2 Data, Variables, and Calculators
Topic 3 Displaying and Describing Distributions
Topic 4 Measures of Center
Topic 5 Measures of Spread
Unit II - Exploring Data: Comparisons and Relationships
Topic 6 Comparing Distributions I :Quantitative Variables
Topic 7 Comparing Distributions II : Categorical Variables
Topic 8 Graphical Displays of Association
Topic 9 Correlation Coefficient
Topic 10 Least Squares Regression I
Topic 11 Least Squares Regression II
Unit III - Collecting Data
Topic 12 Sampling
Topic 13 Designing Studies
Unit IV - Randomness in Data
Topic 14 Probability
Topic 15 Normal Distributions
Topic 16 Sampling Distributions I: Proportions
Topic 18 Central Limit Theorem
Topic 19 Confidence Intervals: Proportions
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Activity 21 Tests of Significance I: Proportions
Optional: Topic 17, 20, 22 and 23: Sampling Distributions II, Central Limit Theorem, Confidence Intervals, and Tests of Significance II: Means