Answer:
A cross-sectional study
Explanation:
Cross-sectional research in psychology is defined as using a variety of people who differ in the variable of interest but carries other characteristics as well, including educational background, ethnicity, socioeconomic status, etc. It is often used by a researcher who studies developmental psychology. it is used for population-based surveys and to assess the prevalence of disease. These studies are usually inexpensive and relatively faster.
Answer:
SVI (Switched Virtual Interface)
Explanation:
For a switch to have an IP address, a switch virtual interface must be configured. This allows the switch to be managed remotely over the network.
Answer:
The Following are the solution to this question:
Explanation:
In Option a:
In the point (i) 
is transitive, which means it converts one action to others object because if 
indicates 
. It's true by definition, that becomes valid. But if 
, which implies 
. it's a very essential component. If 
. They 
will also be 
.
In point (ii), The value of 
is convergent since the 
. It means they should be dual a and b constant variable, therefore 
could only be valid for the constant variable, that is 
.
In Option b:
In this algorithm, the input size value is equal to 1 object, and the value of A is a polynomial-time complexity, which is similar to its outcome that is 
. It is the outside there will be a loop(i) for n iterations, that is also encoded inside it, the for loop(j), which would be a loop
. All internal loops operate on a total number of 
generations and therefore the final time complexity is .
Answer:
ENIAC: Electronic Numerical Integrator and Computer.
ABACUS: Abundant Beads, Addition and Calculation Utility System.
EDVAC: Electronic Discrete Variable Automatic Computer
EDSAC: Electronic Delay Storage Automatic Computer
The main aim of running the parameters in the linear perceptron algorithm is to be able to develop a machine learning algorithm for binary classification tasks.
<h3>What is a linear perceptron algorithm?</h3>
This refers to the linear classification algorithm that is used in machine learning.
This is done in order to learn a decision boundary that divides different classes using a hyperplane.
Hence, we can see that your question is incomplete because the parameters are not included, hence a general overview was given to give you a better understanding of the concept.
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