The required graph for a single variable is a linear graph or time series graph
<h3>Single variable graph</h3>
A single variable graph is a graph having an input and one output.
For instance, the equation of a line y = mx + b is a single variable graph.
Hence the type of data for a single variable graph will give a linear function. Therefore the required graph for a single variable is a linear graph or time series graph
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Machine learning (ML) data can be represented in the following forms:
1. Matrix and Spatial.
2. Scalar and Vector.
Machine learning (ML) is also referred to as Artificial intelligence (AI) and it can be defined as a subfield in computer science which is focused on the use of computer algorithms to build a smart computer-controlled robot that has the ability (capacity) to automatically perform and handle tasks that are exclusively designed to be performed by humans or by using human intelligence.
Generally, the data that are generated and used in machine learning (ML) can be represented in the following forms:
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With a typical 52-card deck that has 4 jacks, Margaret is playing a game. The game is initiated by the first player to choose a jack. When choosing first, Margaret's probability of selecting Jack is 1/13.
The same will occur since probability will be determined using the formula necessary outcome divided by total outcome.
Here, the total number of cards in the deck (total outcome) equals 52.
Given that Margaret can select any of the four jacks, the necessary result (number of jacks) is 4.
Probability is 4/52, or 1 by 13, which is the required probability for the question.
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