Summary Statistics
What data characteristics are necessary to summarize quantitative data? - correct
answer-The Center of the set measurements, or the value that the data tend to cluster
around.
The variability (dispersion) of the set of measurements (how spread out the data are).
What is a measure of central tendency? - correct answer-Helps describe the location of a
majority of values that is normally somewhere around the middle range of observed values.
What are the measures of variability? - correct answer-An indication of the spread of the
measurements around the center of a distribution.
What are low variability data? - correct answer-Low dispersion, or concentrated around the
center of a distribution of data.
What are high variability data? - correct answer-High dispersion, or data that are very spread
out.
What is a parameter and why can't we normally calculate them? - correct answer-It is a
numerical summary of a population, but hard to calculate completely because of the sizes of
populations.
What is a statistic? - correct answer-An estimate of a population parameter
statistics are calculated from data that have been sampled from the population of interest.
What are three measures of center? - correct answer-mean, median, mode
What is the mode? - correct answer-the most frequently occurring value in a set of data.
Amodal data has no mode.
What is the mean? - correct answer-the average of all the values in a dataset
What is the median? - correct answer-the value halfway through an ordered data set, or the
50th percentile of a set of data
How do you find the median of a dataset? - correct answer-Data must be ordered from
smallest to largest.
If the number of values in the dataset is odd, the median is the number located in the exact
middle of the list.
If the number of values in the dataset is even, the median is found by computing the mean of
the two middle numbers.
How do you determine if the outlier is influential on measures of center? - correct
answer-Calculate the difference in mean between the set including the outlier and the set
excluding the outlier.
What data characteristics are necessary to summarize quantitative data? - correct
answer-The Center of the set measurements, or the value that the data tend to cluster
around.
The variability (dispersion) of the set of measurements (how spread out the data are).
What is a measure of central tendency? - correct answer-Helps describe the location of a
majority of values that is normally somewhere around the middle range of observed values.
What are the measures of variability? - correct answer-An indication of the spread of the
measurements around the center of a distribution.
What are low variability data? - correct answer-Low dispersion, or concentrated around the
center of a distribution of data.
What are high variability data? - correct answer-High dispersion, or data that are very spread
out.
What is a parameter and why can't we normally calculate them? - correct answer-It is a
numerical summary of a population, but hard to calculate completely because of the sizes of
populations.
What is a statistic? - correct answer-An estimate of a population parameter
statistics are calculated from data that have been sampled from the population of interest.
What are three measures of center? - correct answer-mean, median, mode
What is the mode? - correct answer-the most frequently occurring value in a set of data.
Amodal data has no mode.
What is the mean? - correct answer-the average of all the values in a dataset
What is the median? - correct answer-the value halfway through an ordered data set, or the
50th percentile of a set of data
How do you find the median of a dataset? - correct answer-Data must be ordered from
smallest to largest.
If the number of values in the dataset is odd, the median is the number located in the exact
middle of the list.
If the number of values in the dataset is even, the median is found by computing the mean of
the two middle numbers.
How do you determine if the outlier is influential on measures of center? - correct
answer-Calculate the difference in mean between the set including the outlier and the set
excluding the outlier.
