Data
Pieces of information ,such as numbers collected from measurement and counts obtained during the course of research study known as data To give a full picture of classification data can be divided into two types.
Two types of data as follows:1.Discrete data have only one of a limited set of values and are counted only in whole numbers .Discrete variables may include things like hair color ,gender, and number. These data are considered to be qualitative in nature
2.Continuous data are measurements made from a particular value within a defined range .Variables a long continuum such as temperature, scores on test ,and time .
These data are considered to be quantitative in nature
Different scales of measurement are used for discreet and continuous data
Discreet data can use nominal or ordinal.
Nominal scales of measurement consist of named categories with no order. For example ,females may be placed in category A and males in category B.Ordinal scales of measurement consist of categories of variables in which the categories are in order ,but there is no equal or defined distance between them
Continuous data use interval and ratio scales
Interval scales of measurement have equal distance between variables ,but there is no true zero point (i.e., temperature on Fahrenheit thermometer)
Ratio scales of measurement have equal intervals between the variables,
but there is a meaningful zero point
(i.e., height and weight)
المادة المعروضة اعلاه هي مدخل الى المحاضرة المرفوعة بواسطة استاذ(ة) المادة . وقد تبدو لك غير متكاملة . حيث يضع استاذ المادة في بعض الاحيان فقط الجزء الاول من المحاضرة من اجل الاطلاع على ما ستقوم بتحميله لاحقا . في نظام التعليم الالكتروني نوفر هذه الخدمة لكي نبقيك على اطلاع حول محتوى الملف الذي ستقوم بتحميله .
الرجوع الى لوحة التحكم
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