Statistical Concepts and Hypothesis Testing: Definitions and Basics, Quizzes of Psychology

Download Statistical Concepts and Hypothesis Testing: Definitions and Basics and more Quizzes Psychology in PDF only on Docsity! TERM 1 The width of intervals is arbitrary DEFINITION 1 False TERM 2 The grouped frequency tables should ideally have 20 class intervals DEFINITION 2 False TERM 3 Interval width may vary from interval to interval within the same table to ensure that there are no intervals with frequency = 0 DEFINITION 3 False TERM 4 Each interval should start with a score that is a multiple of the interval width DEFINITION 4 True TERM 5 Skewness measures how pointy or flat distribution is DEFINITION 5 False TERM 6 There are two medians in a bimodal distribution DEFINITION 6 False TERM 7 In a positively skewed distribution the mode is larger than the median and the median is larger than the mean DEFINITION 7 False TERM 8 In a negatively skewed distribution, the tail extends to the lower scores DEFINITION 8 True TERM 9 There are two modes in a bimodal distribution DEFINITION 9 True TERM 10 As df approaches infinity, the t distribution becomes indistinguishable from a standard normal distribution DEFINITION 10 True TERM 21 In the matched pairs design, each person participates in both levels of the treatment DEFINITION 21 False TERM 22 In the within subjects design each person serves as their own control, and so error variability is less than independent groups design DEFINITION 22 True TERM 23 ANOVA-You would predict that the value of the F-ratio would be close to 1.0 DEFINITION 23 True TERM 24 ANOVA-The expected value of F would be the degrees of freedom denominator DEFINITION 24 False TERM 25 ANOVA- The MS between groups and the MS within groups estimate the same thing DEFINITION 25 True TERM 26 ANOVA- All of the sample variances are equal DEFINITION 26 False TERM 27 A correlation of 1 indicates no relationship between two variables DEFINITION 27 False TERM 28 The SP can never be negative DEFINITION 28 False TERM 29 The correlation is similar to the regression coefficient except that the regression coefficient is standardized DEFINITION 29 False TERM 30 A correlation of 0 indicates a positive relationship between two variables DEFINITION 30 False TERM 31 The sign of the correlation indicates the direction of the relationship DEFINITION 31 True TERM 32 A correlation of -.4 between income and a measure of health indicates that wealth causes good health DEFINITION 32 False TERM 33 Correlation measures linear association DEFINITION 33 True TERM 34 Scatterplots show the direction of association by indicating how tightly clustered or spread out the scores are DEFINITION 34 False TERM 35 A correlation of -.6 indicates that the two variables are virtually unrelated DEFINITION 35 False TERM 46 The size of the standard error of the estimate provides an index of how well the regression equation summarizes the relationship between X and Y DEFINITION 46 True TERM 47 The chi-square test of independence requires that the expected cell frequency be at least 5 DEFINITION 47 True TERM 48 The chi-square test of independence requires independence of observations. DEFINITION 48 True TERM 49 The alternative hypothesis for a chi-square test states that there is a relationship between the two variables in the population DEFINITION 49 True TERM 50 The degrees of freedom for a chi-square test is the number of subjects minus 1 DEFINITION 50 False TERM 51 Typical distance of a sample mean from the true pop mean is measured by the standard error of the mean DEFINITION 51 True TERM 52 The CLT become more accurate when sample size (N) gets larger DEFINITION 52 True TERM 53 According to CLT, the SD of distribution of shape means will be the same as the original pop SD DEFINITION 53 False TERM 54 According to CLT, the mean of distribution of sample means will be the same as the original pop mean DEFINITION 54 true TERM 55 If the original pop has positively skewed dist. the dist of sample means for pop with N=100, each sample will have + skewed dist DEFINITION 55 False TERM 56 Null hypothesis true for Anova.. The ms between and ms within estimate two different values DEFINITION 56 False TERM 57 Null hypothesis true for ANOVA.. Expected value of F would be 0 DEFINITION 57 False TERM 58 Null hypothesis true for ANOVA.. Expected value of the F-Ratio is 1 DEFINITION 58 False TERM 59 Null hypothesis true for ANOVA.. All of the sample variances are equal DEFINITION 59 False TERM 60 Analysis of variance.. Centeral question is whether the underlying pop means differ DEFINITION 60 True