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PSYB07H3 (20)
Midterm

PSYB07 midterm notes.docx

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Department
Psychology
Course
PSYB07H3
Professor
Dwayne Pare
Semester
Fall

Description
PSYB07: Data Analysis in Psychology MIDTERM REVIEW Chapter 1 – Basic Concepts KEY TERMS:  Random sample (1.1)  Random assignment (1.1)  Population (1.1)  Sample (1.1)  External validity (1.1)  Internal validity (1.1)  Variable (1.1)  Independent variable (1.1)  Dependent variable (1.1)  Discrete variables (1.1)  Continuous variables (1.1)  Quantitative data (1.1)  Measurement data (1.1)  Categorical data (1.1)  Frequency data (1.1)  Qualitative data (1.1)  Descriptive statistics (1.2)  Inferential statistics (1.2)  Parameter (1.2)  Statistic (1.2)  Nominal scale (1.3)  Ordinal scale (1.3)  Interval scale (1.3)  Ratio scale (1.3) PRACTICE QUESTIONS:  Under what conditions would the entire student body of your college or university be considered a population  Under what conditions would the entire student body be considered a sample?  If the student body of your college or university were considered a sample, would this sample be random or non-random? Why?  Why would choosing names from a local telephone book not produce a random sample of the residents of that city? Who would be underrepresented and who would be overrepresented?  Give two examples of independent variables and dependent variables.  Give three examples of continuous variables. Give three examples of discrete variables.  Give an example of a study in which we are interested in estimating the average score of a population.  Give three examples of categorical data. Give three examples of measurement data.  Give one example of each kind of measurement scale. Chapter 2 – Describing and Exploring Data  Frequency distribution (2.1)  Histogram (2.2)  Midpoints (2.2)  Outlier (2.2)  Stem-and-leaf display (2.4)  Stem (2.4)  Leaves (2.4)  Symmetric (2.5)  Bimodal (2.5)  Unimodal (2.5)  Modality (2.5)  Negatively skewed (2.5)  Positively skewed (2.5)  Skewness (2.5)  Kurtosis (2.5)  Mesokurtic (2.5)  Platykurtic (2.5)  Leptokurtic (2.5)  Sigma (2.6)  Measures of central tendency (2.7)  Measures of location (2.7)  Mode (Mo) (2.7)  Median (Mdn) (2.7)  Median location (2.7)  Mean (2.7)  Range (2.8)  Interquartile range (2.8)  First quartile, Q1 (2.8) Third quartile, Q3 (2.8) Second quartile, Q2 (2.8)  Sample variance (2.8)  Population variance (2.8)  Standard deviation (s) (2.8)  Coefficient of variation (CV) (2.8)  Unbiased estimator (2.8)  Degrees of freedom (df) (2.8)  Boxplots (2.9)  Box-and-whisker plots (2.9)  Quartile location (2.9)  Inner fence (2.9)  Whiskers (2.9)  Standardization (2.12) PRACTICE QUESTIONS:  Any of you who have listened to children tell stories will recognize that children differ from adults in that they tend to recall stories as a sequence of actions rather than as an overall plot. Their descriptions of a movie are filled with the phrase “and then. . . .” An experimenter with supreme patience asked 50 children to tell her about a given movie. Among other variables, she counted the number of “and then. . .” statements, which is the dependent variable. The data follows: 18 15 22 19 18 17 18 20 17 12 16 16 17 21 23 18 20 21 20 20 15 18 17 19 20 23 22 10 17 19 19 21 20 18 18 24 11 19 31 16 17 15 19 20 18 18 40 18 19 16 a. Plot an ungrouped frequency distribution for these data.
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