PSY 252: Final Exam Study Guide
PSY 252: Final Exam Study Guide PSY 252 - M001
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This 5 page Study Guide was uploaded by Emily.nicole on Sunday November 1, 2015. The Study Guide belongs to PSY 252 - M001 at Syracuse University taught by A. Park in Fall 2015. Since its upload, it has received 64 views. For similar materials see Statistical Methods II in Psychlogy at Syracuse University.
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Date Created: 11/01/15
PSY 252 Optional Final Exam Study Guide 12 11Thursday 3 to 5 PM at HBC kit regular classroom This exam is cumulative and will cover all material that we learned this semester Most of questions will be based on lecture notes There will be a total of 40 multichoice questions some of them will be similar to endof lecture questions You may want to study lecture notes first followed by Aplia HW questions and a textbook and then review lab materials Reading lecture notes won t be enough for getting a good score in exams You need to PRACTICE questions in textbook and Aplia HW amp lab materials Most of questions will be based on lecture notes I already have described what kinds of questions that I would ask in exam at many occasions during lectures All lecture notes and lab materials are available at Apliacom not on Blackboard Bring 1 a No 2 pencil 2 an eraser and 3 a statistical calculator that cannot store information You are only allowed to use calculators that cannot store information No cell phone calculators are allowed during an exam Use of cell phones or the incorrect type of calculator during an exam can be considered cheating Incorrect calculators include all graphing calculators as they can actually perform the statistical analysis you re doing on the test Scientific calculators usually less that 15 and really cheap calculators that have a square root button usually less than 5 are good 2 t and F tables will NOT be given you do NOT need to use the tables to solve problems Also formula sheet will NOT be given please memorize formula listed on the next page Formula to memorize To transform X VALUES to Zscores Population values 2 x u 0 Sample values Z X M 5 Standard error a 039 O M M To transform SAMPLE MEANS to z scores M y where Z 0 M Oneway ANOVA summary table dfwithin N k 111 1 112 1 n3 1 df between k 1 df total df within df between N 1 SS total SS within SS between MS between SS between dfbetween MS within SS within df within F MS between MS within Calculations zq 9 Calculation of cumulative frequency amp percentile ranks from a frequency table Calculation of mean median mode from a simple frequency table Calculation of the median even and odd of scores Transformation of X scores to Zscores Calculation of standard error Transformation of sample means to Zscores Completion of oneway ANOVA summary table Concepts terms 2 types of statistics descriptive and inferential statistics Population vs Sample Estimation and sampling error Parameter vs Statistic Definitions of and relationship among 4 types of variables Qualitative Quantitative Continuous amp Discrete variables 3 types of measurement scales Nominal Ordinal Interval Ratio scale Interpretation of cumulative frequency amp percentile ranks Three measures of central tendency mean median amp mode Characteristics of the mean Characteristics of the median Characteristics of the mode Changes in central tendency measures as a result of linear transformation Symmetrical versus positively or negatively skewed distributions Relative characteristics of central tendency in terms of the shape of distributions When to use a mode When to use a median Variability and its three measures range variance amp standard deviation Characteristics of range Relationship among sum of squares SS variance amp standard deviation SD Sample means and variances as unbiased statistics Changes in variability measures as a result of linear transformation 3 Definition amp interpretation of Pearson correlation coefficients in terms of direction form amp strength Definition of standardized scores Definition and unit of z scores Properties of a 2 distribution Properties of normal distribution Sampling distribution Central Limit Theorem The distribution of sample means definition shape mean and SD Standard error Law of large numbers Definition of hypothesis testing Alpha Critical region Type I and Type II errors definition and their relationship with alpha and power Statistical power definition its relationship with Type 11 error and its determinants Effect size definition and comparisons with significance testing p values in SPSS output concept relationship with alpha levels identifying p values in SPSS output interpretation of p values in terms of original research questions hypotheses For all test statistics we covered onesample z test independentsample ttest repeated measures ttest and oneway ANOVA What study questions and designs are appropriate to use Null and alternative hypotheses Definitions of numerator and denominator standard error and estimated standard error Degrees of freedom Interpretations of research results Testwise versus experimentwise alpha levels Definition of ANOVA as an omnibus test of significance Definition amp examples of factors levels singlefactor ANOVA design Posthoc tests purpose when to use posthoc tests
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