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This document outlines important instructions for the Statistics for Psychology course, covering quiz procedures, class expectations, and grading guidelines. Students are reminded to mute their mobile phones, write their names on a blank piece of paper, and adhere to the time constraints set for quizzes. It also discusses the use of calculators, research exposure credits, and highlights from the textbook related to data dispersion and correlation. The document emphasizes the importance of attendance and communication about absences.
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Lecture 02:Chapter 1 Statistics for Psychology David Wallace Croft 2005 May 18 Wed
Quiz 1 • Please mute your mobile phones • Write your name on a blank piece of paper • Quiz will begin at 09:00 • When done, turn your paper over • At 09:02, I will say, “Pens down” • Writing after “Pens down” is cheating • Pass your quizzes to your left
Outline • Absences • Calculators • Research Exposure Credits Requirement • Textbook Slides • Emphasis • Homework
Absences • No makeup for daily quizzes • Please limit missed exams to emergencies • Early notification of absence is good
Calculators • Not allowed for first exam • Might be allowed for future exams • Not sure yet
Research ExposureCredits Requirement • Detailed Handout • Required to Complete Course • Journal Article Option • textbook footnote, p45 • Catanzaro, D., & Taylor, J.C. (1996). The scaling of dispersion and correlation: A comparison of least-squares and absolute deviation statistics. British Journal of Mathematical and Statistical Psychology, 49, 171-188.
Textbook Slides • Chapter 1: Displaying the Order in a Group of Numbers • http://wps.prenhall.com/hss_aron_statistics_3/0,6590,401853-,00.html
Emphasis • Boxes on Test • Frequency Polygon Zeroes • Direction of Skew • Median Household Income
Direction of Skew 1 “A skewed distribution has one side that is long and spread out, somewhat like a tail. The side with the fewer scores (the side that looks more like a tail) is considered the direction of the skew.” -- textbook, p20
Direction of Skew 2 “In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable. Roughly speaking, a distribution has positive skew (right-skewed) if the higher tail is longer and negative skew (left-skewed) if the lower tail is longer; getting these the wrong way round is a common error.” -- “Skewness”, Wikipedia
Median Household Income • floor effect • skewed to the right • mean higher than median • mnemonic
Homework • Optional • Do not turn in • Will help you on the exams • Answers to Set I problems in back of book • I have answers to Set II problems • Will help you on the exams
Next Class • Friday • Chapter 2 • Mean, Variance, Standard Dev, Z Scores • Read Chapter 2 Before Class • Pre-Lecture Quiz • Starts at 09:00 • Ends at 09:02 • Exam 1 on Monday
Questions • Questions for Class? • Post to e-mail list unless personal • http://egroups.com/group/utd-statistics