30
Oct
Ordinal And Interval Data. The data can be categorized and ranked. Broadly data falls into one or more of four categories. 1Note that ordinal data can be ranked but the difference between 2 ordinal numbers may have no meaning. Ordinal data are most concerned about the order and ranking while interval data are concerned about the differences of value within two consecutive values.
Ordinal data are most concerned about the order and ranking while interval data are concerned about the differences of value within two consecutive values. Interval data are ordinal data with the exception that the difference between 2 numbers has a meaning although the ratio of 2 numbers may not. Nominal and ordinal data can be either string alphanumeric or numeric. The data can be categorized and ranked. In the 1940s Stanley Smith Stevens introduced four scales of measurement. Data interval adalah data yang diperoleh dengan cara pengukuran dimana jarak antar dua titik pada skala sudah diketahui.
In the 1940s Stanley Smith Stevens introduced four scales of measurement.
Transformasi data ordinal menjadi interval itu selain merupakan suatu kelaziman juga untuk mengubah data agar memiliki sebaran normal. Berbeda dengan skala ordinal dimana jarak dua titik tidak diperhatikan seperti berapa jarak antara puas dan tidak puas yang sebenarnya menyangkut perasaan orang saja Contoh. Nominal and ordinal data can be either string alphanumeric or numeric. Nominal ordinal interval and ratio. With ratio type data however all arithmetic operations are possible and are meaningful. Ordinal data place an emphasis on the position on a scale while interval data are on the value differences of two values in a scale.