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SayPro Frequency Distribution and Class-intervals

Variables that are classified according to magnitude or size are often arranged in the form of a frequency table. In constructing this table it is necessary to determine the number of class-intervals to be used and the size of the class-intervals.A distinction is usually made between continuous and discrete vari-ables. A continuous variable has an unlimited number of possible values racing between the lowest and the highest, with no gaps or breaks, e.g., Age, Weight and Temperature. A Discrete variable can have a series of specified values with no possibility of values between those points. Each value of a discrete variable is distinct and separate, e.g., persons, houses, books.In practice, all variables are treated as discrete units, the continuous variables being stated in some discrete unit size according to the needs of a particular situation. For example, length is described in discrete units of millimetres or tenth of an inch.Class-intervals: Ordinarily the number of class-intervals may not be less than 5 and not more than 15, depending on the nature of the data and the number of cases being studied. After noting the highest and lowest values and the features of the data, the number of intervals can be easily determined.One-way tables: Frequency tables present the distribution of cases on only a single dimension or variable. For example, distribution of respondents by sex, distribution of respondents by religion, socio-economic status of respondents and the like are shown in one-way tables.Two-way tables: Distribution in terms of two or more variables and the relationship between two variables are shown in two-way tables. The categories of one variable are presented, one below another, on the left margin of the table and those of another variable at the upper part of the table, one by the side of another. The cells represent particular combinations of both variables. To compare the distribution of cases raw numbers are converted into percentages based on the number of cases in each category.Please visit our website at www.saypro.online Email: info@saypro.online Email: info@saypro.online Call: + 27 11 071 1903 WhatsApp: + 27 84 313 7407. Comment below for any questions and feedback. For SayPro Courses, SayPro Jobs, SayPro Community Development, SayPro Products, SayPro Services, SayPro Consulting, and SayPro Advisory visit our website to www.saypro.online

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