Quiz Math Flashcards
is a way to organize and display data in order to show how often each value or range of values occurs.
Frequency distribution
It helps in summarizing the data and identifying patterns. There are different types of data, and the way you create a frequency distribution depends on the nature of the data.
Frequency distribution
is a table that shows classes or intervals of data with a count of the number in each class. The frequency f of a class is the number of data points in the class.
Frequency distribution
distribution is used when dealing with categorical data (non-numeric data with categories).
Categorical frequency distribution
is used when the data set is relatively small, and the individual values are distinct
Ungrouped frequency distribution
is used when the data set is large and the values can be grouped into intervals or classes.
Grouped frequency distribution
The smallest data value can be included in the class
Lower class limit
The Largest data value that can be included in the class.
Upper class limit
are used to separate the classes so that there are no gaps in the frequency distribution
Class boundaries
The difference between the consecutive lower-class limits
Class width
class are increasing order, is the sum of the frequencies for that class and all previous classes.
Cumulative frequency
is a formula used to determine the number of bins or classes for a histogram in statistical data analysis. It provides an estimate of the optimal number of bins based on the number of observations in a dataset. The formula is named after the statistician Herbert Sturges who proposed it in 1926.
Sturge’s rule
class is the portion or percentage of the data that falls in that class.
Relative frequency
is the sum of the frequency for that class and all the previous classes.
Cumulative frequency
is the running total of the frequencies in a frequency distribution. It shows the total number of observations that are less than or equal to a particular class or interval. To determine, you start with the frequency of the first class and add the frequencies as you move through the classes.
Cumulative frequency
is a graphical representation of a frequency distribution. It displays the frequencies of different classes or intervals by using bars. Each bar’s height corresponds to the frequency of the class it represents.
Frequency Histogram
is a graphical representation of a frequency distribution. It is similar to a frequency histogram but uses line segments to connect the midpoints of each class interval, forming a polygon. This method helps emphasize the distribution of values over the entire range.
Frequency polygon
is a line graph that emphasizes the continuous change in frequencies.
Frequency polygon
is a graphical representation of data that displays the proportion or percentage of observations within each class or interval. Unlike a regular frequency histogram, where the vertical axis represents the absolute frequencies the vertical axis represents the relative frequencies. is similar to that of a regular histogram, but the frequencies are expressed as proportions or percentages.
Relative frequency histogram
has the same shape and the same horizontal scale as the corresponding frequency histogram.
Relative frequency histogram
is the difference between the maximum and minimum values in the dataset and gives an indication of how spread out the values are
Range
define the range of values included in each class interval.
Class limit
are points that separate one class interval from the next in a grouped frequency distribution. They are located midway between the upper limit of one class and the lower limit of the next class.
Class boundaries
help avoid confusion about which values belong to which class.
Class boundaries
