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CHAPTER 7: SUMMARIZING AND INTERPRETING DATA Descriptive Statistics Descriptive statistics: measures that help us summarize data sets. Inferential statistics: a set of statistical procedures used by researchers to test hypotheses about populations. Distribution: a set of scores. Central tendency: representation of a typical score in a distribution. Variability: the spread of scores in a distribution. McBride, The Process of Research in Psychology. Third Edition © 2016 SAGE Publications, Inc. Central Tendency Mean the calculated average of the scores in a distribution. Median the middle score in a distribution, such that half of the scores are above and half are below that value. Mode the most common score in a distribution. McBride, The Process of Research in Psychology. Third Edition © 2016 SAGE Publications, Inc. Central Tendency McBride, The Process of Research in Psychology. Third Edition © 2016 SAGE Publications, Inc. Variability Range The range is the most basic measure and is simply the difference between the highest and lowest scores in a distribution. However, the range ignores all the scores between the most extreme scores and therefore is a crude measure of variability. The standard deviation and variance are much more precise measures of variability. McBride, The Process of Research in Psychology. Third Edition © 2016 SAGE Publications, Inc. Variability Standard deviation The standard deviation is a measure representing the average difference between the scores and the mean of the distribution. However, if you were to simply calculate the differences between the scores and the mean and add them up, you would find that the value is always 0. Thus, the standard deviation is determined by calculating the difference between each score and the mean, squaring those values, adding them up, and dividing by n 1 (where n is the number of scores). McBride, The Process of Research in Psychology. Third Edition © 2016 SAGE Publications, Inc. Variability Variance The variance is simply the standard deviation squared. Standard deviation and variance measures are important for inferential statistical tests. McBride, The Process of Research in Psychology. Third Edition © 2016 SAGE Publications, Inc. Graphs/Tables Graphs (also called figures) and tables of data are useful tools for quickly summarizing data in a visual way. They can represent a frequency distribution for a data set, which indicates how often each score or category appears in a distribution. In a frequency distribution, the different responses are graphed on the x-axis (the horizontal axis) and the frequency of each response in the distribution is graphed on the y-axis (the vertical axis). McBride, The Process of Research in Psychology. Third Edition © 2016 SAGE Publications, Inc. Graphs/Tables McBride, The Process of Research in Psychology. Third Edition © 2016 SAGE Publications, Inc. Graphs/Tables Bar graph a graph of the means for different conditions in a study where the bar height represents the size of the mean. Line graph a graph of the means for different conditions in a study where each mean is graphed as a point and the points are connected in a line to show differences between mean scores. McBride, The Process of Research in Psychology. Third Edition © 2016 SAGE Publications, Inc. Graphs/Tables McBride, The Process of Research in Psychology. Third Edition © 2016 SAGE Publications, Inc. Graphs/Tables McBride, The Process of Research in Psychology. Third Edition © 2016 SAGE Publications, Inc. Graphs/Tables Scatterplot: a graph showing the relationship between two dependent variables for a group of individuals. Predictor variable: the dependent variable in a correlational study that is used to predict the score on another variable. Outcome variable: the dependent variable in a correlational study that is being predicted by the predictor variable. McBride, The Process of Research in Psychology. Third Edition © 2016 SAGE Publications, Inc. Inferential Statistics Hypotheses Null hypothesis Predicts no effect or relationship in the population. Scientific/alternative Predicts an hypothesis effect or relationship in the population. McBride, The Process of Research in Psychology. Third Edition © 2016 SAGE Publications, Inc. Inferential Statistics Significance testing the p value is less than or equal to alpha in an inferential test, and the null hypothesis can be rejected. Alpha level: the probability level used by researchers to indicate the cutoff probability level (highest value) that allows them to reject the null hypothesis. p Value: the probability value associated with an inferential test that indicates the likelihood of obtaining the data in a study when the null hypothesis is true. Critical region: the most extreme portion of a distribution of statistical values for the null hypothesis determined by the alpha level (typically 5%). McBride, The Process of Research in Psychology. Third Edition © 2016 SAGE Publications, Inc. Inferential Statistics Errors Type I error: error made in a significance test when the researcher rejects the null hypothesis when it is actually true. Type II error: error made in a significance test when the researcher fails to reject the null hypothesis when it is actually false. Power: ability of a significance test to detect an effect or relationship when one exists (equal to 1—the probability of a Type II error). McBride, The Process of Research in Psychology. Third Edition © 2016 SAGE Publications, Inc. Inferential Statistics McBride, The Process of Research in Psychology. Third Edition © 2016 SAGE Publications, Inc. Predicting a Null Hypothesis In many cases, the alternative hypothesis is also the researcher’s hypothesis. Many would argue that it is not appropriate for a researcher to predict the null hypothesis because significance tests do not provide evidence for the null hypothesis. If researchers want to predict the null hypothesis, they must be prepared to conduct several studies in order to obtain some support for their hypothesis. McBride, The Process of Research in Psychology. Third Edition © 2016 SAGE Publications, Inc.