Data on health inputs and outputs are also crucial for researchers attempting to link the two sides of the equation—that is, to attribute deaths and impairment to diseases, medical conditions, and other causal factors.
QALE is by definition less than life expectancy computed in unadjusted years. The discrepancy between QALE and unadjusted life expectancy reflects the relative perceived desirability people place on living a given length of time with morbidity versus living that time in perfect health.
A nominal scale variable is classified into two or more categories. In this measurement mechanism, the answer should fall into either of the classes. It is qualitative. The numbers are used here to identify the objects. The numbers don’t define the object characteristics. The only permissible aspect of numbers in the nominal scale is “counting.”.
The ordinal scale is the 2 nd level of measurement that reports the ordering and ranking of data without establishing the degree of variation between them. Ordinal represents the “order.”. Ordinal data is known as qualitative data or categorical data. It can be grouped, named and also ranked.
The ratio scale is the 4 th level of measurement scale, which is quantitative. It is a type of variable measurement scale. It allows researchers to compare the differences or intervals. The ratio scale has a unique feature. It possesses the character of the origin or zero points.
In algebra, which is a common aspect of mathematics, a variable is simply referred to as an unknown value. This meaning is what is adopted in computer science, where it is used to define values when writing in various computer programming languages.
For example, gender is a nominal variable that can take responses male/female, which are the categories the nominal variable is divided into. A nominal variable is qualitative, which means numbers are used here only to categorize or identify objects.
A measurement variable is an unknown attribute that measures a particular entity and can take one or more values. It is commonly used for scientific research purposes. Unlike in mathematics, measurement variables can not only take quantitative values but can also take qualitative values in statistics.
The ratio variable is one of the 2 types of continuous variables, where the interval variable is the 2nd. It is an extension of the interval variable and is also the peak of the measurement variable types.
A nominal variable is one of the 2 types of categorical variables and is the simplest among all the measurement variables. Some examples of nominal variables include gender, Name, phone, etc.
It is the 2nd level of measurement and is an extension of the nominal variable. They are built upon nominal scales by assigning numbers to objects to reflect a rank or ordering on an attribute. Also, there is no standard ordering in the ordinal variable scale .
Differences Between Nominal and Ordinal Variable. The ordinal variable has an intrinsic order while nominal variables do not have an order. It is only the mode of a nominal variable that can be analyzed while analysis like the median, mode, quantile, percentile, etc. can be performed on ordinal variables.
What Are The Quality Attributes? 1 Degree of excellence – Oxford dictionary 2 Fitness for purpose – Edward Deming 3 Best for the customer’s use and selling price – Feigenbaum 4 The totality of characteristics of an entity that bear on its ability to satisfy stated or implied needs – ISO
Software reuse is a good cost-efficient and time-saving development way. Different code library classes should be generic enough to use easily in different application modules. Dividing the application into different modules so that modules can be reused across the application.
Measure if the product is reliable enough to sustain in any condition. Should give consistently correct results.#N#Product reliability is measured in terms of working of the project under different working environments and different conditions.
Different versions of the product should be easy to maintain. For development it should be easy to add code to the existing system , should be easy to upgrade for new features and new technologies from time to time. Maintenance should be cost-effective and easy.
Interoperability of one system to another should be easy for the product to exchange data or services with other systems. Different system modules should work on different operating system platforms, different databases, and protocol conditions.
System integrity or security should be sufficient to prevent unauthorized access to system functions, preventing information loss, ensure that the software is protected from virus infection, and protecting the privacy of data entered into the system.