In formal statistical reporting, a source note is placed at the bottom of a table to indicate the origin of the data. The provided options are ambiguous; however, the source note is a distinct element separate from the title or headers, and its placement is standardized at the base of the table.

In the exclusive method, the upper limit of one class is the same as the lower limit of the next, ensuring that each data point falls into exactly one category. This prevents overlap, as the upper boundary value is typically excluded from the current interval and included in the next one.

A 'greater than' cumulative frequency distribution (also known as a 'more than' ogive) calculates the total frequency of observations that are greater than or equal to a specific value. This value is typically the lower limit of the class interval, as it counts all observations falling within or above that starting point.

A relative frequency distribution is obtained by dividing the frequency of each class by the total number of observations in the dataset. This transformation expresses the frequency of each class as a proportion or percentage of the whole, allowing for easier comparison between datasets of different sizes.

Cumulative frequency is calculated by adding the frequencies of all classes up to the current class. Specifically, the 'less than' cumulative frequency indicates the total number of observations that fall below or are equal to the upper boundary of a given class interval. This is essential for constructing ogives and determining percentiles within a dataset.

A cumulative frequency distribution is a tabular summary that shows the total number of observations that are less than or equal to the upper boundary of each class interval. This helps in understanding the distribution of data points across the range of values.

A frequency table organizes raw data by grouping values into specific intervals or classes. Each class is paired with its corresponding class frequency, which represents the count of observations falling within that specific range. This structure allows for a concise summary of the distribution of the dataset, facilitating easier interpretation and analysis of the underlying patterns.

A simple table, also known as a one-way table, displays data classified according to a single attribute or characteristic. In contrast, complex tables involve two or more characteristics to provide a more detailed breakdown of the data.

An ogive, also known as a cumulative frequency polygon, is a line graph used to determine how many values lie above or below a particular value in a dataset. It is constructed by plotting cumulative frequencies against the upper class boundaries of the frequency distribution.

The class width is calculated by finding the range (Maximum - Minimum) and dividing by the number of classes. Here, the range is 3000 - 2000 = 1000. Dividing 1000 by 10 classes yields a width of 100. This ensures the entire range of data is covered by the specified number of intervals.