1.  Attend Class regularly

2.  Complete assigned homework (20%)

3.   Complete 4 Tests in class (20% each test= 80%)

Test 1 covers Sections 1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 2.4

Test  2 covers Sections 2.5, 2.6, Unit A, P1, Sections 3.1, 3.2, 3.3, 3.4, 4.1

Test  3 covers Section 4.2, 4.3, 4.4, 4.4a, 4.5, Unit B, 5.1, 6.1, 6.2, 6.3, 6.4

Test 4 covers Section 6.5, Unit C, 7.2, 8.1, 9.1

Requred Textbook: 

Statistics:  Unlocking the Power of Data, 3rd ed., by Lock, Lock, Lock-Morgan, Lock and Lock, ISBN: 9781119682288.

 Wiley Publishing Company (Wilet Olus Software).

This is a FIRSTDAY ACCESS e-text available on blackboard under COURSE MATERIALS.

Required technology:

Internet access

Scientific calculator

Internet access to use StatKey statistical software, the Visualize aaplets and the material in WileyPlus

Videos of demos/mini-lectures, examples, explanations and examples from eTextbook

Visualize Applets for students to explore concepts further

Video tutorials for each chapter in segments of 2-7 minutes

Math 1342 Elementary Statisitcs is a first course in statistics for students in business, nursing,allied health, or the physical, social, or behavioral sciences of for any student requiring knowlege of the fundamental procedures for data organization and analysis.  topics include frequency distribution,s, graphing, measures of location and variation, the binomial and normal distributions, graphing, measures of location and variation, the binomial and normal distributions, z-scores, t-test, chi-square test, F-test, hypothesis testing, analysis of variance, regression and correlation, resampling techniques, randomization tests.

Skills:  S prerequisites, a satisfactory score on the ACC mathematics Assessment Test.  A second option is the completion of any TSI-mandated mathematics remediation.

LEARNING OBJECTIVES

1.  Determine the aspects of a question, if any, for which statistics can provide relevant information.

2.  Analyze statistical studies, particularly regarding appropriate sampling and experimental design.

3.  Select and use appropriate statistical analyses to get usefulinformationfrom data

4.  Communicate knowlege using standard statistical language and also interpret it in non-technical language.

5.  Understand material from the text after reading it.

6.  Do homework using fairly complicated formulas after seeing one example.

7.  Do some basic algebraic manipulations of formulas.  A prerequisite review sheet is available from this page:  https://sites.ggogle.com/a/austincc.edu/math-students/prereq-rev

8.  Use Statkey software to carry out statistical calculations including resampling and randomization tests

LEARNING OUTCOMES

1.  Interpret ideas of population versus sample, random variables and techniques of descriptive statistics including frequency distributions, histograms, stemand leaf plots, boxplotsand scatterplots.

2.  Calculate and interpret measures of central tendency and dispersion, including mean, median standard deviation and quartiles.

3.  Apply the 68-95-99.7 rule to normal distributions and use the normal tables to answer questions about the proportion of scores in a certain range or find percentiles.

4.  Analyze relationships between two quantative variablesusing correlation and linear regression.

5.  Analyze residual plots and determine how to handle outliers and influential points.

6.  analyze data presented intw-way and three-way tables to provide information about relationships between categorical vaariables, including the understanding and interrpretating situations to which Simpson's Paradox implies.

7.  Apply ideas of appropriate sampling techniques and experimental design to data production.

8.  Use the basic ideas of probability and apply them to statistics.

9.  Use the sampling distributions of sample proportions and sample means to answer appropriate questions.

10.  Estimate single means, difference of two means, single proportions and difference of two proportions using confidence intervals.  Interpret the results.

11.  Demonstrate skills in hypothesis testing for means and proportions, for single populations and comparison of two populations.

12.  Demonstrate skills in hypothesis testing using the chi-squared test to compare several proportions and to test independence.

12. Demonstrate skills in inference for regression or ANOVA techniques

Throughout the course, students will learn to do most all the calculations by hand with a scientific calculator on small data sets.  They will also learn to uyse StatKey software to do the statistical calculations quickly and to carry out resampling and randomization tests.

Please see the current, updated version of the ACC Student Handbook to reference all student services assistance opportunities and regulations. It can be found at www.austincc.edu/catalog/updates