PSYCHOLOGY 230 = &nb= sp; = &nb= sp; M.C. DUST, Ph.D.

FALL, 2010 = &nb= sp; = &nb= sp; = PHONE: (773) 995-2227 (Voice Mail) email: margaretdust@gmail.com = &nb= sp; HOURS: TUESDAYS & THURSDAYS

= &nb= sp; = &nb= sp; = &nb= sp; = &nb= sp; 12:30 - 3:30p.m. TUES: 5-6 p.m. = &nb= sp; = &nb= sp; = &nb= sp; = &nb= sp; = &nb= sp; = &nb= sp; = &nb= sp; WEDNESDAYS 12:00 – 4:30 p.m.

STATISTICS for BEHAVIORAL SCIENCE

This course serves as an introduction= to the fundamentals of modern statistics.&nbs= p; Topics to be considered include the following: descriptive statistic= s, frequency distribution, measuresof variation, probability and decision-maki= ng, problems of estimation and tests of hypotheses, linear regression and correlation. Emphasis will be placed on the interpretation and application of statistical analysis in the social sciences. = 3 Credit Hours.

Prerequisites: Math 103

TEXT: Aron, A., Aron, = E.N., & Coups, E.J. (2011, 5^th Ed.). STATISTICS: For the = &nb= sp; = Behavioral and Social Sciences: A Brief Course. = ;Pearson: Prentice Hall, Upper = &nb= sp; Saddle River, New Jersey

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= SPSS: Version 17 CD-ROM accompanying b= ook (Please care for this disk and = = &nb= sp; = &nb= sp; return it when you resell your book) =

COURSE OBJECTIVES:

1. = To understand the content and process of descriptive and inferential statistics (assessed by exams and homework).

2. = To show how statistics has a deep impact on diverse modern life, as well as us= ing = &nb= sp; statistics effectively in everyday life (assessed by exams and homework).

3. = To help students appreciate how statistics provide the “facts” beh= ind theories in the social sciences (as= sessed by exams.

4. = To acquire critical thinking and analytical skills used in the behavioral and social = &nb= sp; sciences, to “reason statistically” (assessed by exams and homework).

5. = To help students apply the appropriate techniques in statistics through the us= e of real life examples (assessed by homework).

6. = To help students understand that statistics education is in the middle of a revolution.

7. = To understand that statistics is a tool for research (assessed by homework).

8. &n= bsp; To learn SPSS, Statistical Package for the Social Sciences software.

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STATISTICAL ASSUMPTIONS

Memorization of formulas is not required, although your professor would hope that some of the more commonly used ones might stay with you. You are expected to know (memorize= , if necessary) the assumptions underlying the statistical concepts/techniques discussed in class.

MATHEMATICAL BACKGROUND

Mathematical sophistication is not required, but you should know the four basics (additi= on, subtraction, multiplication, and division). You should also learn how to add, multiply, subtract, and divide signed numbers. A calculator is recommended for do= ing square roots. The calculators recommended are the TI series, such as 30XA or 30X IIS.   If you already have a calcul= ator with a square root key on it, do not buy a new one. Three decimal points should be used in your computations which should then be rou= nded back to two decimal points.

HOMEWORK

Homework can be completed with friends. However, it is never wise to just copy as you will be taking exams alone! All work is to be shown! Answers are NOT enough!

In your homework, computational errors will be penalized slightly. In other words, you will be given partial credit if you approach a problem correctly and make an error in computation. Full credit will= be given for computational accuracy and the correct approach.

BE NEAT!

HOMEWORK IS NOT ACCEPTED LATE! IF YOU MISS CLASS, YOU WILL RECEIVE A   0   FOR THAT HOMEWORK.=

COURSE INFORMATION

        =    OTHER USEFUL TEXTS: There are other Introductory Statistics books th= at might be of help,        =          authors such as Gravetter and Wallnau, Sprinthall, Downie and Heath,= and Ferguson and        =        Takane.   For more advanced applications, authors Kirk, Kerlinger and Lee, Cohen and        =          0 Cohen are useful.

ATTENDANCE: Statistics cannot be missed! Therefore, students who miss class= will be        =             &nb= sp; dropped or be asked to drop.    <= /p>

TARDINESS:   Students are expected to be = on time. Tardiness is rude and disruptive to the            =         class. If the instructor sees a constant pattern of tardiness, you will be        =             &nb= sp;            =             encouraged to drop the class. In other words, once I close the door, you will no longer be        =       allowed into the classroom.

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EXITING CLASS: Students are to remain in their seats until class has been dismissed. Students        =      are not to leave and come back to class as they see fit.

CELL PHONES: All cell phones are to be turned off.   If they are not, they will b= ecome the        =              property of Cal College!. Do not take calls or receive them in class!

ACADEMIC INTEGRITY:   You are expe= cted to abide by ethical guidelines as a future        =             &nb= sp;     professional. Cheating= will not be tolerated. Cheating will result in an automatic F in        =         the course.

MAKE-UPS

        = Make-ups for any exams are at the discretion of the professor. <= span style=3D'mso-spacerun:yes'> Do not automatically        =             &nb= sp; assume that you will be allowed to make work up.   All serious illnesses require a        =             &nb= sp;      doctor’s letter.&nbs= p; You must call prior to an exam to even be considered for a make-up.

ATHLETES: Please notify me if you= are an athlete. If you are schedu= led for a game the night        =        of a class, homework must be turned in PRIOR to the class. You may leave it in my box        =       the mail room.

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COURSE GRADES: Tests are a mixture of= MC and problems

        =      Homework:        =       -50% of course grade.

        =      Exams        =             &nb= sp; -40% of course grade ( 4 Exams, each one =3D 10%)

        =      Attendance        =        -10% of course grade

        =             &nb= sp;            =             &nb= sp;        (miss the equivalent of one week of class =3D A:

        =             &nb= sp;            =             &nb= sp;         miss= the equivalent of two weeks of class =3D B;

        =             &nb= sp;            =             &nb= sp;         miss the equivalent of three weeks of class =3D F)

        =      GRADE:    A = =3D 90% of all possible points

        =             &nb= sp;            B =3D 80% of all possible points

        =             &nb= sp;            C =3D 70% of all possible points

        =             &nb= sp;            D =3D 60% of all possible points

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        =             &nb= sp;            =             &nb= sp;            =      SCHEDULE

SEPTEMBER 8

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SEPTEMBER 15

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SEPTEMBER 22

SEPTEMBER 29

OCTOBER 6

OCTOBER 13

OCTOBER 20

OCTOBER 27

NOVEMBER 3

NOVEMBER 10

NOVEMBER 17

NOVEMBER 24

Introduction

Displaying the Order in a Groups of Numbers

Tables and Graphs

Mean, Median Mode

Variance, Standard Deviation, Z Scores

Correlation

Prediction =

TEST #1

Inferential Statistics: Normal Curve & Probability

Samples and Populations, Z Scores

Hypothesis Testing

Hypothesis Tests: Means of Samples

TEST #2

“t” Test: Single Sample=

Dependent Means

“t” Test For Independent Means

TEST #3

SPSS

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Chapter 1

Chapter 2

Chapter 3

Chapters 1,2,3

Chapter 4

Chapter 5

Chapters 6

Chapters 4,5,6

Chapter 8

Chapter 9

Chapters 8,9

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