Course Information
Course Standards
Minimum Qualifications for Instructors
 Mathematics (Masters Required)
 Statistics (Masters Required)
Course Description
The use of probability techniques, hypothesis testing, and predictive techniques to facilitate decisionmaking. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chisquare and ttests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Applications using data from disciplines including business, social sciences, psychology, life science, health science, and education.Conditions of Enrollment

Language  recommended eligibility for English 1A
Content
Lecture
 Descriptive Statistics
 Sampling and Sampling Distributions
 Probability
 Binomial Distribution, Normal Distribution, and tDistribution
 Inferences  Estimation and Hypothesis Testing
 Regression and Correlation
 ANOVA
 Chisquare Tests
Lab
 Statistical analysis using Minitab or equivalent software
 Descriptive Statistics
 Sampling, and Sampling Distributions
 Probability
 Binomial Distribution, Normal Distribution, and tDistribution
 Inferences  Estimation and Hypothesis Testing
 Regression and Correlation
 ANOVA
 Chisquare Tests
Objectives

Distinguish among different scales of measurement and their implications
**Requires Critical Thinking**

Interpret data displayed in tables and graphically
**Requires Critical Thinking**

Apply concepts of sample space and probability
**Requires Critical Thinking**

Calculate measures of central tendency and variation for a given data set

Identify the standard methods of obtaining data and identify advantages and disadvantages of each
**Requires Critical Thinking**

Calculate the mean and variance of a discrete distribution

Calculate probabilities using normal and studentâ€™s tdistributions

Distinguish the difference between sample and population distributions and analyze the role played by the Central Limit Theorem
**Requires Critical Thinking**

Construct and interpret confidence intervals
**Requires Critical Thinking**

Determine and interpret levels of statistical significance including pvalues
**Requires Critical Thinking**

Interpret the output of a technologybased statistical analysis
**Requires Critical Thinking**

Identify the basic concept of hypothesis testing including Type I and II errors
**Requires Critical Thinking**

Formulate hypothesis tests involving samples from one and two populations
**Requires Critical Thinking**

Select the appropriate technique for testing a hypothesis and interpret the result
**Requires Critical Thinking**

Use linear regression and ANOVA analysis for estimation and inference, and interpret the associated statistics
**Requires Critical Thinking**

Use appropriate statistical techniques to analyze and interpret applications based on data from disciplines including business, social sciences, psychology, life science, health science, and education.
**Requires Critical Thinking**
Student Learning Outcomes
 Calculate and interpret measures of center and measures of dispersion for given data.
 Find probabilities for applications involving normal random variables.
 Construct and interpret a confidence interval for a population mean or proportion.
 Formulate decisions about rejection or failures to reject hypotheses based on data/information provided. (CRT)
Methods of Instruction

Laboratory

Lecture/Discussion
Distance Education
 Online
Assignments
Written component to problem solving assignments and to laboratory assignments.
Example homework assignment
From Triola text 
22: 4, 5, 6, 9, 10, 13, 14, 15, 16, 21, 22 
Example lab assignment
1. Use MINITAB to simulate rolling one die 600 times. Make a histogram of the results and find the mean of the 600 rolls. Mark the mean on the histogram.
2. Use MINITAB to simulate rolling two dice 600 times. Find the mean of each roll. Make a histogram of the means and find the mean of the 600 means. Mark the mean on the histogram.
3. Use MINITAB to simulate rolling five dice 600 times. Find the mean of each roll. Make a histogram of the means and find the mean of the 600 means. Mark the mean on the histogram.
4. Report on the similarities and differences of the results you obtained. Refer to average, spread, and shape.
Methods of Evaluation
 Exams
 Homework
 Laboratory Assignments
 Participation
 Portfolio
 Problem Solving Exercises
 Quizzes
Course Materials

Triola. Essentials of Statistics, 5TH ed. Pearson, 2015, ISBN: 0321924592Equivalent text is acceptable
 Scientific Calculator (TI 30 or equivalent)
 Lab Manual (possibly)
 Minitab student version (software) (possibly)