Statistics for Educational Data

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Running head: STATISTICS FOR EDUCATIONAL DATA 1
Statistics for Educational Data
Student Name
Institution
STATISTICS FOR EDUCATIONAL DATA 2
Statistics for Educational Data
1. What are the independent and dependent variables and what is the measurement scale of
each?
Independent variable is spatial aptitude-In this variable spatial comprehension and
ability were determined through a test known as PARC. Since these are scores,
the variable has a ratio scale.
The dependent variable is Attitude towards instruction-Since variable measures
the degree of understanding, it has an ordinal scale.
2. Name three types of descriptive statistics that were reported in the manuscript?
Measures of Central Tendency: The results in the manuscript reveals an average
score of 13.5 and a median of 13 achieved by Physics and chemistry students.
These are examples of measures of central tendency.
Measures of Dispersion or Variation: The Physics and chemistry students had a
score with a standard deviation of 1.5 which is a measure of dispersion.
Measures of Position: When measuring the spatial aptitude of students, three-
quarters of the data was over 19. Results on this variable were divided into
quartiles. This is a measure of position.
3. Review the boxplots in Figure 3. The legend to the right of the figure indicates that the
whiskers represent the standard deviation, the box represents the standard error, and the line
represents the median. Have the authors represented the elements of the boxplot correctly? If not,
what is incorrect?

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