| UNDER CONSTRUCTION |
The standard disclaimer applies. Here is a list of potential topics on the exam. If something that was in the book and/or discussed in class isn't on this list, it may still show up on the exam. And, just because something is on this list, doesn't mean that it will be on the exam. This list is only meant to supplement your review of the textbook and of your lecture notes. Vocabulary that you should know:
| bar graph binomial distribution central tendency constant correlational method data degrees of freedom descriptive statistics deviation experimental method frequency distribution frequency distribution polygon histogram independent variable inferential statistics |
interquartile range mean median mode negatively skewed normal distribution parameter percentile percentile rank population population variance probability random sample random sampling random selection range |
raw score real limits sample sampling error Sampling with replacement skewed distribution standard deviation standard score standardized distribution statistic sum of squares symmetrical distribution tail of the distribution. variability variable z-score |
Probability of A = number of outcomes classified as A total number of possible outcomes
---- need to insert these still ------
Some review problems (notice all are odd, so the answers are in the back of the textbook)
| UNDER CONSTRUCTION |
The standard disclaimer applies. Here is a list of potential topics on the exam. If something that was in the book and/or discussed in class isn't on this list, it may still show up on the exam. And, just because something is on this list, doesn't mean that it will be on the exam. This list is only meant to supplement your review of the textbook and of your lecture notes. Vocabulary that you should know:
| alpha level alternative hypothesis beta between-subjects design carry-over effects central limit theorem confidence interval critical region degrees of freedom difference scores directional test distribution of sample means estimated standard error estimated standard error for |
estimation expected value of homogeneity of variance hypothesis testing independent observations independent-measures design individual differences interval estimate law of large numbers level of significance matched-subjects design null hypothesis one-tailed point estimate |
pooled variance power progressive error repeated-measures design repeated-measures t-statistic sampling distribution sampling error standard error of t-distribution t-statistic test statistic two-tailed Type I error Type II error within-subjects design |
Formulas that you should know and understand how to use
------ need to insert these still ------
Some review problems (notice all are odd, so the answers are in the back of the textbook)
| UNDER CONSTRUCTION |
The standard disclaimer applies. Here is a list of potential topics on the exam. If something that was in the book and/or discussed in class isn't on this list, it may still show up on the exam. And, just because something is on this list, doesn't mean that it will be on the exam. This list is only meant to supplement your review of the textbook and of your lecture notes. Vocabulary that you should know:
| ANOVA summary table between-treatments variablility coefficient of determination correlation distribution of F-ratios error term experimentwise error F-ratio factor individual differences least squares solution levels |
linear equation linear relationship mean square (MS) negative correlation Pearson correlation perfect correlation phi-coefficient poin-biserial correlation positive correlation post Hoc tests regression regression equation for Y |
regression line restricted reange Scheffˇ test slope Spearman correlation standard error of estimate Analysis of Variance sum of products treatment effect Tukey's HSD test within-treatment variability Y-intercept |
Formulas that you should know and understand how to use
F-ratio = variance between treatments = treatment effect + individual diffs + random error variance within treatments individual differences + random error
--------- still need to insert these ----------
Some review problems (notice all are odd, so the answers are in the back of the textbook)