17 Questions
What does a positive correlation coefficient indicate?
A strong relationship
What type of data is Pearson’s r used with?
Continuous data
What does a correlation coefficient of 0 indicate?
No correlation
When is Spearman’s Rho used?
With ordinal data
What does variability refer to when analysing graphics in the context of data?
The extent to which scores are spread about the central tendency
What does skewness refer to in the context of data analysis?
Symmetry or asymmetry
Which measure of central tendency is the middle score in a set of ordered data?
Median
What does kurtosis refer to in the context of data analysis?
Peakedness or flatness around the central tendency
In a boxplot, what does the line in the middle of the box represent?
The median (central tendency)
What does the range refer to in the context of variability?
The difference between the highest and lowest scores
In the context of the given text, what is the independent variable in the relationship between studying and grades?
Studying
Based on the text, what type of studies allow us to say that the independent variable causes a change in the dependent variable with certainty?
Experimental studies (RCT)
What is the term used in the text for other potentially influencing factors that are associated with the independent and dependent variables?
Confounding variables
In what type of studies can we be sure of the cause and effect relationship between independent and dependent variables?
Experimental studies (RCT)
In the context of the given text, what is the dependent variable in the relationship between office workers and heart disease?
Heart Disease
What type of studies do not allow us to be certain about cause and effect relationships between variables?
Observational studies
Based on the text, what term is used for examining the relationship between two category variables or two continuous variables?
Association tests
Test your understanding of continuous data analysis, focusing on central tendency, variability, skewness, and kurtosis. Learn to identify the central, typical or representative score, understand the spread of scores around the central tendency, and recognize symmetry or asymmetry in histograms.
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