MTH 209HW - Statistics- Honors

Credits: 4
Instructional Contact Hours: 4

Studies statistical concepts including frequency distributions, measures of central tendency and dispersion, probability, confidence intervals, hypotheses testing, linear correlation and regression, chi-square, ANOVA, non-parametric tests.Credit may be earned in MTH 209W, MTH 209AW or MTH 209HW.

Prerequisite(s): High school GPA of 3.0 or higher within the last ten years OR completion of Guided Self-Placement (GSP) process. - Must be completed prior to taking this course or Permission of the Honors Office.
Corequisite(s): None
Lecture Hours: 60 Lab Hours: 0
Meets MTA Requirement: Math
Pass/NoCredit: Yes

Outcomes and Objectives

Apply standard measures of descriptive statistics.
1. Calculate, describe, and apply measures of center (mean, median, mode).
2. Calculate, describe, and apply measures of variation (standard deviation, variance range).
3. Calculate, describe, and apply percentiles.
4. Calculate, describe, and apply graphs (frequency distributions, histograms, stem and leaf plots, box and whisker plots).
Demonstrate understanding of statistical inference.
1. Identify different methods of data collection.
2. Calculate and describe basic probability.
3. Calculate probability using the binomial distribution, the normal distribution, and the central limit theorem.
4. Use correlation and regression to describe relationships between numerical variables.
5. Calculate confidence intervals to estimate population averages and proportions.
6. Manually perform all of the steps of a hypothesis test for a claim about the population mean. Students will demonstrate their understanding of the significant level of a test and the use of p-values in statistical software.
7. Determine the appropriate test statistic and make inferences for a variety of models, including single sample mean (large and small sample), proportion and variance, two sample mean and proportion, Chi Square and ANOVA.
8. Determine the appropriate non-parametric test statistic and make inferences for a variety of models, including sign test, Wilcoxon Signed-Rank test for Matched pairs, Kruskal-Wallis Test and Rank Correlation.
Communicate an understanding of statistical concepts in writing.
Demonstrate knowledge of a statistical computer software package.
Practice independent, intellectual curiosity.
Complete at least one significant project which demonstrates higher level, academic rigor
Apply higher level, critical thinking skills to deepen understanding of course material.
Actively engage with peers in discussions, seminars, or other formats to enhance the depth of knowledge of the relevant material.
Practice independent, intellectual curiosity.
1. Complete at least one significant project that demonstrates higher level, academic rigor.
Apply higher level, critical thinking skills to deepen understanding of course material.
1. Actively engage with peers in discussions, seminars, or other formats to enhance the depth of knowledge of the relevant material.