## Frequency distribution Graphs

In a frequency distribution graph, the score category (X values) are noted on the x-axis (also dubbed the abscissa), and also the frequencies are provided on the y-axis (the ordinate). For scores that autumn on one interval or proportion scale, a histogram or a polygon graph need to be used. In a **histogram**, a bar is centered over each score (or interval) so the the height corresponds to the frequency of that score or interval and the width coincides to the real limits of the score or interval. In a **polygon**, a period is centered above each score so the the height of the dot coincides to the frequency the the X value, and also straight present then connect the dots. In ~ the ends, a heat is attracted from the an initial X value v a frequency greater than zero to the first preceding or complying with X worth for which the frequency is zero, so that the graph return to zero at both ends.

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For scores that fall on a nominal or ordinal scale, a bar graph should be supplied to display screen the data. A **bar graph** is comparable to a histogram except that the width of the bars does no correspond to the real limits. Thus, the heights of bars correspond to the frequencies that the X values, however there is a void between nearby bars to show that the range of measure up is no continuous.

Often, populations of interest room too huge to know the exact frequencies of any of the particular categories (X values). In such a case, population distributions have the right to be displayed using **relative frequency** rather of the absolute number of individuals every category. If the scores room measured on one interval or proportion scale, the histogram and/or polygon offered to display screen the data presents a **smooth curve** in between the values fairly than a jagged pattern, come reflect the reality that the circulation is not showing specific frequencies because that each category yet only estimations.

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**Central tendency** is a ax that refers to a collection of measures that catch accurately the center of a distribution. As such, this measures carry out information about an entire collection of scores, condensed into one value. There are three various measures of central tendency that us will think about in this course, the mean, the median, and the mode. That is crucial to realize the although each of these steps concerns central tendency, they often take on various values because that a given set of scores. This is because each of these procedures is sensitive to facets of the distribution, such as its shape.