Pratice quiz - midterm Flashcards
Which of the following would be considered a discrete variable?
All of the options are discrete variables.
Assessing stress hormone concentration in blood samples of people in high risk jobs.
Documenting the number of academic programs at the University of Guelph.
Measuring heart rate in beats per minute of students writing an exam.
Documenting the number of academic programs at the University of Guelph.
Which of the following is considered the most useful/important measure of variability?
The standard deviation.
The deviation score.
The variance.
The range.
The standard deviation.
Establishing operational definitions within The Research Trinity would fall under the category of:
Analysis.
Planning.
Measurement.
Design.
Measurement
Describing/summarizing data through a frequency distribution is characterized by:
Depicting the outcome variable of the study along the x-axis.
Depicting the outcome variable of the study along the y-axis.
Having a single data point assigned to multiple categories.
Having a separate category for every single data point.
Depicting the outcome variable of the study along the x-axis.
The Greek letter “rho” (ρ) is the symbol used for the:
Sample mean.
Sample correlation coefficient.
Population correlation coefficient.
Population variance.
Population correlation coefficient.
When generating descriptive statistics, the “zero-sum” problem refers to:
The problem when trying to quantify the variability of data.
Research studies that produce unimpressive results.
The problem when the data does not perfectly fit a Normal distribution.
The problem when trying to calculate an average value.
The problem when trying to quantify the variability of data.
In the Normal distribution, the mode of the data:
Typically falls within one of the tails of the distribution.
Occurs at the same point on the x-axis as the mean and the median.
Is the statistic of choice when the data are ratio in nature.
Are most useful with rectangular-shaped distributions
Occurs at the same point on the x-axis as the mean and the median.
If you wish to quantify the validity in a sample, what would be your equation of choice?
Standard deviation