Which of the following statistics is most affected by extreme scores?

In these cases, the mean is clearly not representative of the distribution. So the median is a better measure of the central tendency. Extreme scores strongly affect the mean, but not the median.

What is most affected by extreme scores?

In these cases, the mean is clearly not representative of the distribution. So the median is a better measure of the central tendency. Extreme scores strongly affect the mean, but not the median.

Which statistic is most affected by extreme values?

Outliers are numbers in a data set that are vastly larger or smaller than the other values in the set. Mean, median and mode are measures of central tendency. Mean is the only measure of central tendency that is always affected by an outlier. Mean, the average, is the most popular measure of central tendency.

Which measure of variation is most affected by extreme scores *?

Why is the mean sensitive to extreme scores?

The mean is sensitive to extreme scores when population samples are small. … Means are better used with larger sample sizes. The median is the middle score in a list of scores; it is the point at which half the scores are above and half the scores are below.

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Which measure of central tendency is not affected by extreme scores?

When one has very skewed data, it is better to use the median as measure of central tendency since the median is not much affected by extreme values.

Which of the following is least affected by extreme values?

Which of the following is least affected by extreme values? Median is the value that divides the data set in exactly two parts. One of the advantages of median is that it is not effected by the outliers.

Why mode is not affected by extreme values?

The mode is not affected by extreme values. The mode is easy to identify in a data set and in a discrete frequency distribution. The mode is useful for qualitative data. … The mode can be located graphically.

Why is the median not affected by extreme values?

The median is not influenced by extreme values. The median is sensitive only to the value of the middle point or points; it is not sensitive to the values of all other points. The mean requires interval or ratio data. The mean is the preferred measure for interval or ratio data.

Which of the following is most affected by extreme scores quizlet?

The mean is more affected by extreme scores than the median.

Why would the median rather than the mean be the appropriate measure of central tendency quizlet?

Why would the median, rather than the mean, be the appropriate measure of central tendency in determining housing values in a particular community? The median is minimally affected by extreme scores.

What is behavior best described as?

In psychology, “behavior” is best defined as: A) anything a person says, does, or feels. … A) psychologists study only observable behaviors.

Is the mean influenced by extreme scores?

In general, as the distribution becomes more lopsided (skewed) the mean and the median move away from the mode. With extremely skewed distributions the mean will be somewhat misleading as a measure of central tendency, because it is heavily influenced by extreme scores.

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How do you interpret a mean value?

The median and the mean both measure central tendency. But unusual values, called outliers, affect the median less than they affect the mean. When you have unusual values, you can compare the mean and the median to decide which is the better measure to use. If your data are symmetric, the mean and median are similar.

What does the median tell you?

WHAT CAN THE MEDIAN TELL YOU? The median provides a helpful measure of the centre of a dataset. By comparing the median to the mean, you can get an idea of the distribution of a dataset. When the mean and the median are the same, the dataset is more or less evenly distributed from the lowest to highest values.

Which measure of central tendency is most affected by extreme very high or very low scores?

The Median. An extreme score will skew the value to one side or the other.

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