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Worksheets2 Stats - Central Tendency
Total questions: 25
Worksheet time: 13mins
What are the two general classes of descriptive statistics?
Measures of correlation and measures of variance.
Measures of variability and measures of association.
Measures of central tendency and measures of variance.
Measures of distribution and measures of consistency.
What does central tendency refer to?
The average distance of scores from the mean.
The tendency of data to cluster around a central point.
The range of variation in a dataset.
The degree of asymmetry in a distribution.
What are the three measures of central tendency?
Range, variance, and standard deviation.
Mode, median, and mean.
Skewness, kurtosis, and mean.
Frequency, mode, and interquartile range.
Which measure of central tendency is the most frequently occurring score in a dataset?
Median.
Mean.
Frequency.
Mode.
What types of data can the mode be used with?
Interval/ratio data only.
Ordinal and nominal data only.
Categorical data only.
All data types.
How is the median calculated when there is an odd number of scores in the dataset?
By finding the average of the two middle scores.
It is the middle score when the data is ranked from lowest to highest.
By identifying the mode.
By subtracting the lowest score from the highest score.
How is the median calculated when there is an even number of scores in the dataset?
By selecting the higher of the two middle scores.
By calculating the difference between the two middle scores.
By taking the average of the two middle scores when the data is ranked from lowest to highest.
By choosing the middle score closest to the mean.
What types of data can the median be used with?
Nominal data only.
Interval/ratiodata only.
Ordinal and interval/ratiodata.
Nominal and ordinal data.
How is the mean calculated?
By adding all scores and dividing by the total number of scores.
By identifying the middle value in a ranked dataset.
By finding the most frequent score in the data.
By calculating the range of the dataset.
What types of data can the mean be used with?
Nominal data only.
Interval/ratiodata.
Ordinal data only.
All data types.
Why might the mean provide a misleading measure of central tendency in a skewed distribution?
It is unaffected by extreme scores.
It is equal to the median and mode in skewed distributions.
It can be lower than the median in positively skewed distributions.
In positively skewed distributions, the mean may be too high, and in negatively skewed distributions, it may be too low.
When are the mean, median, and mode identical?
When the data are nominal.
When the distribution is positively skewed.
When the distribution is negatively skewed.
When the distribution is perfectly symmetrical and peaks in the middle.
What is one advantage of the mode over the mean and median?
It represents the largest number of people and is not affected by extreme scores.
It can readily enter into mathematical equations.
It can be used with ordinal and interval/ratiodata.
It is always representative of the entire dataset.
What is a disadvantage of the mode?
It may not be representative of the entire dataset.
It requires data to be ranked in order.
It cannot be used with nominal data.
It is affected by extreme scores.
What is an advantage of the median over the mean?
It is unaffected by extreme scores.
It is more stable from sample to sample.
It is always equal to the mode.
It can be manipulated algebraically.
What is a disadvantage of the median compared to the mean?
It is always higher than the mean.
It cannot be used with ordinal data.
It is affected by extreme scores.
It is less stable from sample to sample and does not readily enter into equations.
What are the two main disadvantages of the mean?
It can only be used with nominal data.
It is less stable from sample to sample and cannot be used in equations.
It is influenced by extreme scores and may not exist in the dataset.
It is always higher than the median and the mode.
What is a significant advantage of the mean?
It can be used in equations and manipulated algebraically.
It is unaffected by extreme scores.
It is always equal to the median in skewed distributions.
It is unaffected by outliers.
Which graphical representation is most suitable for nominal data?
Pie chart.
Histogram.
Bar chart.
Line graph.
Which graphical representation is most suitable for ordinal data?
Pie chart.
Bar chart.
Histogram.
Scatter plot.
Which graphical representation is most suitable for interval/ratio data?
Pie chart.
Frequency polygon.
Histogram.
Bar chart.
Which measure of central tendency is recommended for nominal data?
Range.
Mode.
Median.
Mean.
Which measures of central tendency can be used for ordinal data?
Median and mean.
Mean and mode.
Mode and range.
Mode and median.
Which measures of central tendency can be used for interval/ratio data?
Mode, median, and mean.
Mode and range.
Median and range.
Mean and range.
What is a bimodal distribution?
When all values in a dataset are unique.
When two values have an equally high frequency.
When the data has multiple peaks.
When the median and mean are equal.
