Descriptive statistics

Download 63.07 Kb.
NameDescriptive statistics
A typeScript
PSYC 3010

Psychological Statistics

Spring 2017
Instructor: Brady DeHart Email:

Contact policy: email Office hours: By appointment
Teaching Assistant: Trisha Chase Email:

Contact policy: email Office hours: By appointment
Required Texts

Gravetter, F. J. & Wallnau, L. B. (2014). Essentials of statistics for the behavioral sciences (8th ed.).
****** DO NOT PURCHASE A HARD COPY OF THIS TEXTBOOK! We will be using the online homework management system, Aplia. Aplia will manage homework for this course, and their service includes an electronic copy of the text. If you purchase a hard copy of the text, you will still need to purchase the Aplia service in order to complete the assignments.******
Course Objectives

  • To understand the selection, computation, and interpretation of descriptive and inferential statistics, including:

    • Organizing, describing, transforming, and graphing data

    • Measures of central tendency and variability

    • The normal distribution

    • Hypothesis testing and estimation with 1 and 2 samples

    • Hypothesis testing for k samples: 1-way ANOVA; and subsequent post hoc, multiple comparison procedures

    • 2-way ANOVA with interactions; repeated measures ANOVA

    • Correlation; linear regression; prediction

    • Chi square tests for frequencies for 1 and 2 samples

  • To understand the utilization and interpretation of SPSS for Windows, including working with:

    • Data files, variables, and cases

    • Creating SPSS charts/graphs

    • Frequencies

    • Descriptive statistics

    • One sample, paired samples, and independent samples t tests

    • One way ANOVA; post hoc comparisons

    • 2-way ANOVA; repeated measures ANOVA

    • Correlation

    • Chi square tests

    • Cross tabulations and two-way contingency tables

Hand Calculations

The purpose of learning to calculate statistics by hand is to ensure that you genuinely understand the theory and conceptualization of all statistics you learn and use. However, when you are working with a professor on his or her research or completing your own independent research in graduate school or later in your undergraduate career, you will do your statistical analyses on the computer.

Statistical Package for the Social Sciences (SPSS) is, by far, the most commonly used program for computing statistics in psychology and related fields. You must learn how to use SPSS if you expect to efficiently engage in research at any point in your education or career. SPSS is a program that can be purchased – it is not available with your textbook. All USU distance education sites have SPSS installed on lab computers. The software is fairly expensive so most sites only have it on one or two computers and you may have to hunt or ask around for it. Most students complete their SPSS tests and assignments on the campus computers. For those of you who do not have the option of attending a USU distance education site, you have two options. Firstly, you can lease the program from several online retailers for 6 months. The cost of the 6-month lease for the basic statistics package is about $40 - The current version of SPSS is 22.0. However, if you have access to a used version, you can save money by using the older version (anything later than version 16.0 will work). Secondly, you can connect to and connect to USU’s network to use Citrix Receiver and use a free copy of SPSS that you have access to as a student. With this method, you are connecting remotely to the University’s system and accessing SPSS though a virtual machine. This method of connecting to the University’s system is free but may be difficult to set up and use. Please plan ahead and check that you can get this method of accessing SPSS to work before assignments or exams are due to ensure you do not have any problems. The USU IT department has developed a guide to help set up the Citrix Receiver.

Calculators with statistical functions are required for computations. If you are buying a new calculator for use in this course, buy one that will automatically do statistical functions for 1 and 2 variables. Then learn to use it as early in the course as possible. Also, if you want to save money and are feeling adventurous, most of this can be done in Microsoft Excel (or an equivalent software). However, use Excel at your own risk.

A subscription to Aplia is required to complete the course homework. Aplia is integrated with the Canvas course page. You will need to synchronize your Aplia account to Canvas the first time you try to connect to Aplia. This synchronization will only need to be completed once.

Aplia Payment

After registering for your course, you will need to pay for access using one of the options below:

Online: You can pay online using a credit or debit card, or PayPal.

Bookstore: You may be able to purchase access to Aplia at your bookstore. Check with the bookstore to find out what they offer for your course. You should have received a code from the bookstore (or wherever you obtained your course materials)

Free Trial: You can access Aplia until 11:59 PM on 01/31/2016 during your free trial. After the free trial ends you will be required to pay for access.

Please note: At the end of the free trial period, your course access will be suspended until your payment has been made. All your scores and course activity will be saved and will be available to you after you pay for access.

System Check: To check whether your computer meets the requirements for using Aplia, go to
Course Activities
SPSS and computational take-home tests: Each exam is a 50-point take -home exam that evaluates SPSS and computation skills. Take home tests will be posted on the Canvas assignments page one week before the due date (two weeks before for the final). You can download the take home portions at your leisure – they are open book and you can work on them in groups if you choose. However, every exam must contain only your own work. If there are questions in which you are to make up your own data bases, if these data bases are the same as anyone else’s in the class, you and any others involved will receive a zero for that particular test. In other words, it is okay to discuss the test with others. It is not ok to set up one problem together, answer it, and make multiple copies of the answer. If you have any questions as to what is or is not acceptable collaboration on an exam, please contact us.
Take home exams must be scanned and uploaded (as a pdf) by the due date (see the schedule at the end of the syllabus). The due dates for the exams are in -line with the due dates of the Logan campus course. Late tests will be accepted for 10 days after the due date with a 10% late penalty for each day. No late work will be accepted for the quizzes and Aplia assignments.
Because time is tight at the end of the semester, there will be no late grace period for the last take home exam. All final exams must be turned in on their due date. All late final exams will receive a zero. No exceptions.

Because this is an online course, please expect that your internet will not always cooperate. Therefore, if you try to complete a quiz at 11:55 pm on its due date, there is a possibility that your computer will freeze and you will not complete the quiz. The best strategy is to ensure that you take the quiz with plenty of time to spare. If something does go wrong, email me immediately. I will not provide any leeway if contacted after the quiz or assignment due date. You must contact me before the due date with any problems.
Weekly Canvas Quizzes: Each week, a multiple choice, True/False, and matching quiz, worth 10 - 15 points, will be administered on Canvas. Canvas quizzes are timed and will be available on Canvas throughout the week until 11:45 pm on Fridays (see the schedule at the end of this syllabus). You also get two attempts at the quizzes; your highest score will be your final score. After the due dates, quizzes cannot be made up, but your final quiz grade will drop your lowest weekly grade. Thus, you can miss one quiz with no consequence. This policy is in place to give you the flexibility to deal with the stresses and unexpected challenges that you may face during the semester, so please do not request make up quizzes.
Aplia Homework: You will be able to access the homework after the deadline, but you will not be able to submit anything. Please attend closely to these deadlines so that you earn all possible points.
SPSS Labs: SPSS labs are devoted to learning how to complete and interpret all analyses using the software SPSS. Recorded demonstrations provide instructions for completing each statistical procedure. Download and follow the written instructions to complete the assignments on SPSS. Remember that you must be working on a computer that has SPSS installed on it in order to complete the assignments. SPSS labs are scheduled to correspond with the introduction of the theory and computations from the Gravetter and Wallnau text. Because it is not feasible to pass homework back and forth by mail for grading, these assignments will not be graded for credit. Answer keys will be made available on Canvas so that you can grade your own assignments.
It is very important that you complete and grade the SPSS assignments in accordance with the schedule, as SPSS tasks comprise approximately half of every take home exam. If you do not complete the SPSS labs you are at a severe disadvantage for the exams.
Course Policies
Academic Dishonesty: The consequence for cheating on any assignment or test is a zero grade, and immediate referral to the university’s academic standards committee. See the section below on Academic Honesty.
Rounding numbers: Do not round numbers you are computing until the final answer. Rounding numbers at each step in calculating results in answers that may be significantly different than the keyed answers for both exams and homework. Therefore, round only your final answer (to two decimal places) only after all calculations have been performed.

University Policies
Students with Disabilities: Students with ADA-documented physical, sensory, emotional or medical impairments may be eligible for reasonable accommodations. Veterans may also be eligible for services. All accommodations are coordinated through the Disability Resource Center (DRC) in Room 101 of the University Inn, (435)797-2444 voice, (435)797-0740 TTY, (435)797-2444 VP, or toll free at 1-800-259-2966. Please contact the DRC as early in the semester as possible. Alternate format materials (Braille, large print or digital) are available with advance notice.
Honor Pledge: Students will be held accountable to the Honor Pledge which they have agreed to: "I pledge, on my honor, to conduct myself with the foremost level of academic integrity."
Academic Honesty: The Instructor of this course will take appropriate actions in response to Academic Dishonesty, as defined by the University's Student Code. Acts of academic dishonesty include but are not limited to:

Cheating: (1) using or attempting to use or providing others with any unauthorized assistance in taking quizzes, tests, examinations, or in any other academic exercise or activity, including working in a group when the instructor has designated that the quiz, test, examination, or any other academic exercise or activity be done "individually"; (2) depending on the aid of sources beyond those authorized by the instructor in writing papers, preparing reports, solving problems, or carrying out other assignments; (3) substituting for another student, or permitting another student to substitute for oneself, in taking an examination or preparing academic work; (4) acquiring tests or other academic material belonging to a faculty member, staff member, or another student without express permission; (5) continuing to write after time has been called on a quiz, test, examination, or any other academic exercise or activity; (6) submitting substantially the same work for credit in more than one class, except with prior approval of the instructor; or (7) engaging in any form of research fraud.
Falsification: altering or fabricating any information or citation in an academic exercise or activity.
Plagiarism: representing, by paraphrase or direct quotation, the published or unpublished work of another person as one's own in any academic exercise or activity without full and clear acknowledgment. It also includes using materials prepared by another person or by an agency engaged in the sale of term papers or other academic materials.










Please note that the grades in Canvas are presented as points. However, your grade is based on how the percentage of points you obtain in each section. (For example, the Exams will be 45% of your final grade). See specific Canvas assignments for how many points each item is worth.




























Homework Due

Canvas Quizzes

Aplia Assignments

Relevant SPSS Lab

Take Home Exams

Canvas Quizzes

1/9 – 1/13

Syllabus Chapter 1

Experimental method; data types; scales; notation

Introduction and Math Review Due: 1/12

Friday 1/13

Course Policy Quiz

1/16 – 1/20

Chapter 1

Chapter 2

Frequency distributions; Mean, median, mode

Chapter 1 – 2

Due: 1/19

Friday 1/20

Chapters 1 -2

1/23 – 1/27

Chapter 3

Chapter 4

Variation – range, variance, standard deviation; Normal distributions; z-scores

Chapter 3 – 4

Due: 1/26

SPSS Lab 1 & 2

Hand out Take Home Exam 1 Thursday 1/26

(Ch. 1-5)

Friday 1/27

Chapters 3 - 4

1/30 – 2/3

Chapter 5

Probability; distribution of sample means

Chapter 5

Due: 2/2

Take Home Exam 1 due Thursday 2/2

Friday 2/3

Chapter 5

2/6 – 2/10

Chapter 6

Chapter 7

Hypothesis testing

Chapter 6 & 7

Due: 2/9

Friday 2/10

Chapter 6 - 7

2/13 – 2/17

Chapter 8

One-sample t-test

Chapter 8

Due: 2/16

SPSS Lab 3

Hand out Take Home Exam 2 Thursday 2/16 (Ch. 6-9)

Friday 2/17

Chapter 8

2/20 – 2/24

Chapter 9

Independent samples t-test

Chapter 9

Due: 2/23

SPSS Lab 4

Take Home Exam 2 Due: Thrusday 2/23

Friday 2/24

Chapter 9

2/27 – 3/3

Chapter 10

ANOVA I – one-way ANOVA

Chapter 10

Due: 3/2

SPSS Lab 5

Friday 3/3

Chapter 10

3/6 – 3/10


3/13 – 3/17

Chapter 11

ANOVA II – repeated measures

Chapter 11 Due: 3/16

SPSS Lab 6

Hand out Take Home Exam 3 Thursday 3/16 (Ch. 10-12)

Friday 3/17

Chapter 11

3/20 – 3/24

Chapter 12

ANOVA III – factorial designs

Chapter 12

Due: 3/23

SPSS lab 7

Take Home Exam 3 due: Thursday 3/23

Friday 3/34

Chapter 12

3/27 – 3/31

Chapter 13

Correlation and Regression

Chapter 13 – part I

Due: 3/30

SPSS Lab 8

Friday 3/31

Chapter 13RM

4/3 – 4/7

Chapter 13

Correlation and Regression

Chapter 13 – part II

Due: 4/6

SPSS Lab 9

Friday 4/7

Chapter 13 2-way

4/10 – 4/14

Chapter 14

Correlation and Regression

Chapter 14 – part I

Due: 4/13

Friday 4/14

Chapter 14


4/17 – 4/21

Chapter 14

Chi-Square 1 & 2 variables; cross tabs

Chapter 14 – part II

Due: 4/20

SPSS Lab 10

Friday 4/21

Chapter 14


4/24 – 4/28

Chapter 15

Catch Up

Chapter 15

Due: 4/27

Hand out Take Home Exam 4 Thursday 4/27 (Ch. 13-15)

Friday 4/28

Chapter 15

5/1 – 5/5


Exam 4: Ch. 13-15, SPSS labs 7 – 10 / Take home Exam 4 due 5/4 at 1:20 pm

A Comment on the Schedule: Because the first exam and part of the second exam are comprised of review material from Statistics 1040 and because that material lays the foundation for the more advanced statistics we cover later in the course, it so happens that the tests and homework become progressively harder (and more time consuming) as we move through the semester. If you find that you are doing very well on the first two exams, do not become complacent. Continue to do ALL of the homework assignments, read carefully, and listen to the recorded lectures.

If you become lax during the second half of the semester, you are in for a rude shock when you get to the third and fourth exams. I am not trying to scare you, nor am I a mean instructor who wants to “make you suffer” at the end of the semester. I am just committed to teaching you the more advanced techniques so that you can be a more effective researcher, and there is no way to balance the work more evenly across the semester because you must learn the easier content before you can tackle the harder content. Consider this advice as you plan your semester.

Share in:


Descriptive statistics iconDescriptive Statistics

Descriptive statistics iconChapter 2-descriptive statistics: tabular and graphical displays

Descriptive statistics iconDescriptive rules

Descriptive statistics iconDescriptive adjectives. •

Descriptive statistics iconDescriptive Overview 8

Descriptive statistics iconDescriptive/narrative

Descriptive statistics iconDescriptive language

Descriptive statistics iconDescriptive survey

Descriptive statistics iconDescriptive Summary

Descriptive statistics iconDescriptive Overview 7

forms and shapes

When copying material provide a link © 2017