{"id":2655,"date":"2023-04-25T10:00:08","date_gmt":"2023-04-25T04:30:08","guid":{"rendered":"https:\/\/www.aplustopper.com\/?p=2655"},"modified":"2023-04-26T09:32:29","modified_gmt":"2023-04-26T04:02:29","slug":"mode-statistics","status":"publish","type":"post","link":"https:\/\/www.aplustopper.com\/mode-statistics\/","title":{"rendered":"What is the Mode in Statistics"},"content":{"rendered":"

What is the Mode in Statistics<\/strong><\/h2>\n

Mode is also known as norm.
\nMode is the value which occurs most frequently in a set of observations and around which the other items of the set cluster density.
\nAlgorithm<\/strong>
\nStep I :\u00a0\u00a0 <\/strong>Obtain the set of observations.
\nStep II :\u00a0 <\/strong>Prepare the frequency distribution.
\nStep III : <\/strong>Obtain the value which has the maximum frequency.
\nStep IV :\u00a0 <\/strong>The value obtained in step III is the mode.<\/p>\n

The mode or model value of a distribution is that value of the variable for which the frequency is maximum. For continuous series, mode is calculated as,<\/p>\n

\"What<\/p>\n

Symmetric distribution:<\/strong> A distribution is a symmetric distribution if the values of mean, mode and median coincide. In a symmetric distribution frequencies are symmetrically distributed on both sides of the centre point of the frequency curve.
\n\"What
\nA distribution which is not symmetric is called a skewed-distribution. In a moderately asymmetric distribution, the interval between the mean and the median is approximately one-third of the interval between the mean and the mode i.e., we have the following empirical relation between them,
\nMean \u2013 Mode = 3(Mean \u2013 Median)
\n\u21d2 Mode = 3 Median \u2013 2 Mean.
\nIt is known as Empirical relation<\/strong>.<\/p>\n

Relative characteristics of mean, median and mode<\/strong><\/p>\n

    \n
  1. Mean is usually understood as arithmetic average, since its basic definition is given in arithmetical terms.<\/li>\n
  2. Mean is regarded as the true representative of the whole population since in its calculation all the values are taken into consideration. It does not necessarily assume a value that is the same as one of theoriginal ones (which\u00a0 other averages often do).<\/li>\n
  3. Mean is suitable for sets of data which do not have extreme values. In other cases, median is the appropriate measure of location.<\/li>\n
  4. Mode is the most useful measure of location when the most common or most popular item is required.<\/li>\n<\/ol>\n

    Read More:<\/strong><\/p>\n