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Psychological Statistics

by: Lane Schuster

Psychological Statistics PSYC 2101

Marketplace > East Carolina University > Psychlogy > PSYC 2101 > Psychological Statistics
Lane Schuster
GPA 3.98

Jonathan Reed

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Jonathan Reed
Class Notes
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This 3 page Class Notes was uploaded by Lane Schuster on Sunday October 11, 2015. The Class Notes belongs to PSYC 2101 at East Carolina University taught by Jonathan Reed in Fall. Since its upload, it has received 14 views. For similar materials see /class/221338/psyc-2101-east-carolina-university in Psychlogy at East Carolina University.


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Date Created: 10/11/15
PSYC 2101001 Exam 1 Chapter 1 5 Study Guide Students thoroughly understanding Exam 1 material can provide detailed responses to the following items and complete the tasks described below 01 0 I 03 O A O 01 O G O l O I O 0 x O x x What is the goal of inferential statistical procedures Contrast questions about differences with questions about relationships and give examples of each Given a description of a measure be able to identify the type of scale involved Given a study description be able to identify and describe the relevant variables Find the value of a quantity expressed using the notational format discussed in class Be able to interpret frequency distributions stemandIeaf plots and histograms Given graphic representations be able to describe distributions of scores Know when line graphs and bar graphs are appropriate and how to interpret such graphic representations Compare and contrast the three measures of central tendency discussed in class Compare and contrast the three measures of variability discussed in class Provide conceptual definitions of variance and standard deviation Be able to interpret boxandwhisker plots Students thoroughly understanding Exam 1 material are able to perform the following computationalgraphic tasks 01 02 03 04 05 06 Generate a frequency distribution ungrouped or grouped Generate a stemandIeaf plot Generate a histogram ungrouped or grouped Graph means using line and bar graphs Determine the mode median mean and trimmed mean for a set of sample data Determine the range interquartile range variance and standard deviation for a set of sample data A list of terms and names used during lecture is presented below Some are also included in the list at the end of the chapters and thus their inclusion here serves to emphasize their importance Other terms are not included in the list at the end of the chapters and therefore they supplement Howell s lists The wellprepared student is able to define the terms that are listed below and is able to specify how they relate to the topics discussed in the lectures for Chapters 0105 A Asymmetr Y Backtoback stemandleaf display Bimodal Central tendency Correlational study Discrete variable EX post facto study Fences Hinges i subscript Interval scale of measurement Line graph Measurement data Modality Negatively skewed Outlier Positively skewed Random sampling Real lower limit Sample Statistic Sum of squares Symmetr Ungroupeddata histogram Variance Winsorized statistic a B Bar graph Boxandwhisker plot Constant DV Dot subscript Experiment Frequency distribution Hsprea Inferential statistics j subscript Magnitude Median Mode Nominal scale of measurement Parameter Quartile location Range Real upper limit Sample representativeness Stemandleaf display Summation limits Trimmed mean Unimodal Winsorized sample X Absolute zero b Betweensubjects manipulation Categorical data Continuous variable Descriptive statistic Equal interval Extreme score Groupeddata histogram IV Interquartile range k subscript Mean Median location n Ordinal scale of measurement Population Random assignment Ratio scale of measurement SV Standard deviation Subdivided stem Summation sign Unbiased statistic Variability Withinsubjects manipulation Y Students thoroughly understanding Exam 1 material can correctly answer the following sample test items 01 02 O 0 O A O 01 O G I mrug dose involves testing hypotheses about parameters based on statistics A descriptive statistics B inferential statistics C nonparametric statistics D random sampling A scale of measurement is not used to evaluate the amount of some property but rather to classify responses according to type A interval B nominal C ordinal D ratio Class standing is an example of an scale of measurement A interval B nominal C ordinal D ratio The measure of central tendency that is influenced most by extreme scores is the A Mean B Median C Mode D All three measures are equally influenced by extreme scores The opposite sides of a rectangle are used to represent the interquartile range A Boxandwhisker plot B Groupeddata histogram C StemandIeaf plot D Ungroupeddata histogram Which of the following provides the best estimate of a parameter value A Convenience sample B Interpolated value C Interquartile range D Unbiased average Refer to the following description to answer items 710 Thirty male and thirty female research participants are given nothing a sugar pill or 100 mgkg of LDOPA The IQ of each participant is estimated one two and four hours later using three different brief tests of intelligence is a subject variable mrug dose B estimated IQ C gender D time of test E All of the above is a withinsubjects independent variable mrug dose B estimated IQ C gender D time of test E All of the above is a betweensubjects independent variable A drug dose B estimated IQ C gender D time of test E All of the above is a dependent variable B estimated IQ C gender D time of test E All of the above


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