The Uniform Distribution.
Yes, a stem-and-leaf plot shows the frequency distribution of a variable.
Bar Graph
The X-axis of a frequency polygon typically represents the variable being measured or categorized, such as age groups or test scores. It is a horizontal axis that shows the range of values for the variable. Each interval or category is usually evenly spaced along the X-axis to show the distribution of data points.
trend
A histogram is a graph that for a given set of data show you how many times a certain range of values appears and how it compares to the frequency of ranges of values. A table on the other hand relates two unique sets of numbers, and shows how a value in one set corresponds to values in the other.
No, a frequency polygon is a type of data visualization that uses line segments to connect points representing the frequencies of different classes. It shows the distribution of data values, but it does not necessarily represent the actual class frequencies.
The frequency distribution shows in a graph or a table all the possible values of a variable, called the random variable, and the frequency or the count of each value. For example, if you had the ages of 100 people you could do a frequency distribution and split the ages into 10 year categories and then show how many of the 100 people were in the 20s, how many in their 30s, how many in their 40s and so on.
Yes, a stem-and-leaf plot shows the frequency distribution of a variable.
measure of central tendency...Updating previous answer by prior responder...I believe the more accurate answer is a frequency distribution.
A frequency distribution plot.
Bar Graph
A distribution function or a cumulative distribution function. The spread and range are also immediately apparent from a box [and whiskers] plot.
It is a table which shows a set of values that some variable takes and the number of times that it takes those values.
The amplitude spectrum is a plot that shows the distribution of amplitude values of a signal across various frequencies. It provides information about the strength or magnitude of each frequency component present in the signal. The amplitude spectrum is commonly used in signal processing and audio analysis to characterize the frequency content of a signal.
Cumulative frequency refers to the running total of frequencies in a frequency distribution. It shows the number of observations that fall below a certain value in a data set. Each cumulative frequency is the sum of the corresponding frequency and all frequencies below it.
The X-axis of a frequency polygon typically represents the variable being measured or categorized, such as age groups or test scores. It is a horizontal axis that shows the range of values for the variable. Each interval or category is usually evenly spaced along the X-axis to show the distribution of data points.
A cumulative frequency distribution shows the accumulation of frequencies up to a certain point in a dataset, allowing for the visualization of how many observations fall below a specific value. It helps in understanding the distribution of data, identifying percentiles, and analyzing trends. This type of distribution is often represented graphically with a cumulative frequency curve, which can highlight the proportion of data below various thresholds. Overall, it provides insight into the overall distribution pattern of the data.