they may be necessary in certain situations to avoid a large number of empty ,or almost empty, classes.
Usually because the frequencies at one or both ends of the distribution are very small.
To make the graph symmetrical
a cumulative frequency graph mearsure the cumulative frequency on the y-axis and the class boundaries on the x-axis
The class is not full.
What is the wall thickness of B class G.I pipe? what is the weight per meter of B class G.I pipe
Usually because the frequencies at one or both ends of the distribution are very small.
To make the graph symmetrical
Because sometimes adjacent classes have to be merged so that the frequencies are not too small. This is important if anonymity is to be preserved. It is also important for statistical testing.
Real Class Limits are the class intervals of a frequency distribution when stated as in continuous categories. ie. 18.5-19.5, 20.7-34.7 Stated Class Limits are the class intervals of a frequency distribution when stated as discrete categories. ie. 19-21, 23-25
A histogram is "a representation of a frequency distribution by means of rectangles whose widths represent class intervals and whose areas are proportional to the corresponding frequencies.Broken distribution means that no data point falls in that class.
class interval - one of several convenient intervals into which the values of the variate of a frequency distribution may be grouped.
Yes, a frequency polygon is typically plotted by connecting points that represent the midpoints of each class interval in a frequency distribution. The points are plotted above the midpoints, with the frequency on the vertical axis and the class intervals on the horizontal axis. This visualization helps to show the shape of the distribution of the data. The polygon is often closed by connecting the endpoints to the horizontal axis at the minimum and maximum class intervals.
Cumulative frequency is found by adding the frequency of each class interval to the sum of the frequencies of all previous intervals. To calculate it, you start with the first interval, where the cumulative frequency is simply the frequency of that interval. For subsequent intervals, you add the frequency of the current interval to the cumulative frequency of the previous interval. This process continues until all intervals are accounted for, resulting in a cumulative frequency distribution.
The relative frequency of a class is the frequency of the class divided by the total number of frequencies of the class and is generally expresses as a percentage.
Class Frequency
To construct a frequency distribution table, follow these steps: Collect Data: Gather the raw data that you want to analyze. Determine Class Intervals: Decide on the number of classes and the range for each class interval, ensuring they cover the entire data set without overlap. Tally the Frequencies: Count how many data points fall into each class interval and record the frequency for each. Create the Table: Organize the class intervals and their corresponding frequencies into a structured table format for easy reference and analysis.
Oh, dude, class intervals are the ranges that group data together in a frequency distribution, like 1-10, 11-20, etc. Class width is just the difference between the upper and lower boundaries of each class interval. So, basically, class intervals are like the neighborhoods where data hangs out, and class width is just the size of the houses in those neighborhoods.