Quiz 2 Flashcards
Which of the following is considered a measure of central tendency?
The variance.
The standard deviation.
The standard error.
The mean.
The mean
Generating a histogram to describe the distribution of a set of data:
Cannot be used to identify the mode of the data.
Should always take the form of a line graph.
Is performed only when the outcome (dependent) variable data are nominal.
Is done so that the bars touch each other on the graph.
Is done so that the bars touch each other on the graph.
Which of the following is an advantage of the coefficient of variation?
It produces a unitless measure of variability.
It is examined in isolation and can’t be compared to other variables.
It produces a relative measure of variability in the original units of the measure.
It can be determined without having to calculate the standard deviation.
It produces a unitless measure of variability.
When assessing data variability, what is the mathematical operation that was adopted to deal with the zero-sum problem in trying to quantify a measure of deviation among a set of scores?
The mean is subtracted from the median.
The difference between each score and the sample average is squared.
The absolute value of the difference between a single score and the average is taken.
The difference between a single score and the median is squared.
The difference between each score and the sample average is squared
When is the mode a useful statistic?
When the measurement scale is nominal.
When there are too many scores to deal with.
Whenever the data distribution is highly skewed.
When the data distribution appears rectangular.
When the measurement scale is nominal.
The kurtosis of a sample of data assesses:
Whether or not the data in the sample is spread far from the mean.
How close the mean is to the median.
How accurate the mean represents the associated population parameter.
The symmetry of the data distribution.
Whether or not the data in the sample is spread far from the mean.
