LSC-CyFair Math Department

Catalog Description
Collection, analysis, presentation and interpretation of data, and probability.  Analysis includes descriptive statistics, correlation and regression, confidence intervals and hypothesis testing.  Use of appropriate technology is recommended. 

Course Learning Outcomes

  The student will:

• Explain the use of data collection and statistics as tools to reach reasonable conclusions.
• Recognize, examine and interpret the basic principles of describing and presenting data.
• Compute and interpret empirical and theoretical probabilities using the rules of probabilities and combinatorics.
• Explain the role of probability in statistics.
• Apply the Central Limit Theorem to the sampling process.
• Examine, analyze and compare various sampling distributions for both discrete and continuous random variables.
• Describe and compute confidence intervals.
• Solve linear regression and correlation problems.
• Perform hypothesis testing using statistical methods.

Contact Hour Information
Credit Hours:  3
Lecture Hours:  3
Lab Hours:  0
External Hours:  0
Total Contact Hours:  48

Prerequisites
MATH 0309 or 0310 OR placement by testing;
ENGL 0305 or ENGL 0365 OR higher level course (ENGL 1301), OR placement by testing

Corequisite
ENGL 0307 or ENGL0375

Required Materials

Textbook:  Sullivan, Michael III, Fundamentals of Statistics: Informed Decisions Using Data, 4th ed. with MyStatLab Access, Pearson Publishing, 2014, 
Required: Students must buy an access code to MyMathLab, an online course management system which includes a complete eBook; students will first need a Course ID provided by the instructor in order to register; online purchase of MyMathLab access at www.mymathlab.com; hard copies of access codes available with ISBN: 9780558357603
Hardbound Text (optional), ISBN:   9780321838704        
Hardbound Text + free MyMathLab access, ISBN:   9781269373265         

 

Calculator:

Graphing Calculator required.  TI 83, TI 84 or TI 86 series calculators recommended. 
Calculators capable of symbolic manipulation will not be allowed on tests.  Examples include, but are not limited to, TI 89, TI 92, and Nspire CAS models and HP 48 models. 
Neither cell phones nor PDA’s can be used as calculators.  Calculators may be cleared before tests.


Textbook Sections 

Chapter 1.  Data Collection

1.1  Introduction to the Practice of Statistics

1.2  Observational Studies versus Designed Experiments

1.3  Simple Random Sampling

1.4  Other Effective Sampling Methods

1.5  Bias in Sampling

1.6  The Design of Experiments
 

Chapter 2.  Descriptive Statistics

2.1  Organizing Qualitative Data

2.2  Organizing Quantitative Data: The Popular Displays

2.3  Graphical Misrepresentation of Data
 

Chapter 3.  Numerically Summarizing Data

3.1  Measures of Central Tendency

3.2  Measures of Dispersion

3.4  Measures of Position and Outliers

3.5  The Five Number Summary and Boxplots
 

Chapter 4.  Describing the Relation Between Two Variables

4.1  Scatter Diagrams and Correlation

4.2  Least Squares Regression


Chapter 5.  Probability

5.1  Probability Rules

5.2  The Addition Rule and Complements

5.3  Independence and the  Multiplication Rule


Chapter 6.  Discrete Probability Distributions

6.1  Discrete Random Variables

6.2  The Binomial Probability Distribution


Chapter 7.   The Normal Probability Distribution

7.1  Properties of the Normal Distribution

7.2  Applications of the Normal Distribution

7.3  Assessing Normality


Chapter 8.  Sampling Distributions

8.1  Distribution of the Sample Mean

8.2  Distribution of the Sample Proportion


Chapter 9.  Estimating the Value of a Parameter

9.1  Estimating a Population Proportion

9.2  Estimating a Population Mean

9.3  Putting it All Together: Which Procedure Do I Use?
 

Chapter 10.  Hypothesis Tests Regarding a Parameter

10.1  The Language of Hypothesis Testing

10.2  Hypothesis Tests for a Population Proportion

10.3  Hypothesis Tests for a Population Mean

10.4  Putting it All Together: Which Method Do I Use?
 

Chapter 11.  Inference on Two Samples
(Cover a Selection of Topics from this Chapter as Time Permits)

11.1  Inference About Two Population Proportions

11.2  Inference About Two Means: Dependent Samples

11.3  Inference About Two Means: Independent Samples


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