Q. Which measure of central tendency is the most stable?
mean
Q. What is the most stable and most frequently used measure of central tendency?
Q. What are the measures of central tendency in research?
There are three commonly used measures of central tendency – the mode, median, and mean of a distribution. The mode is the most common value or values in a distribution. [1] The median is the middle value of a distribution. [2] The mean is the sum of all the values divided by the number of values.
Q. How can you use the measures of central tendency?
Measures of central tendency help you find the middle, or the average, of a data set. The 3 most common measures of central tendency are the mean, median and mode. The mode is the most frequent value. The median is the middle number in an ordered data set.
Q. What is the relationship among the three measures of central tendency?
The empirical relationship between the three measures of central tendency is 2 Mean = 3 Median – Mode. An empirical relationship exists between mean mode and median. 2 Mean = 3 Median – Mode.
Q. What measure of central tendency is most affected by outliers quizlet?
Which of the measures of central tendency is most influenced by outliers in your data? The mean is strongly influenced by outliers because it is the average of the scores and it is not resistant. The median is resistant.
Q. Which measures of central tendency are not affected by outliers?
Median. The median is the middle value in a distribution. It is the point at which half of the scores are above, and half of the scores are below. It is not affected by outliers, so the median is preferred as a measure of central tendency when a distribution has extreme scores.
Q. Which of the measures of central tendency is most affected by skew?
Q. What is the relationship of central tendency to positive and negative skewness?
Central Tendency Measures in Positively Skewed Distributions In contrast to a negatively skewed distribution, in which the mean is located on the left from the peak of distribution, in a positively skewed distribution, the mean can be found on the right from the distribution’s peak.
