Answer:
Answer to the following question is Dot plot
Explanation:
A dot chart is also called the dot plot it is the type of a simple histogram like chart that is used in the statistic for relatively the small data set where the values fall into the number of a discrete bin.
To draw the dot plots, count the numbers of data points falling in each of the bins and draw the stacks of dot that numbers high for each of the bins.
Answer: you can't
Explanation: The best way to make one is to search for one then copy and paste
Hope this helps^^
<span>it is stored on your clipboard and you can get to it by pressing ctrl+c</span>
Answer:
I attached the answer in the picture
Explanation:
Logical True and Logical False
These are kinda strange operations. Logical true always results in True and logical false always results in False no matter the premise. These operations are often referred to as “always true” and “always false”.
Binary Operators
Binary operators require two propositions. We’ll use p and q as our sample propositions.
Negation
The negation operator is commonly represented by a tilde (~) or ¬ symbol. It negates, or switches, something’s truth value.
We can show this relationship in a truth table. A truth table is a way of organizing information to list out all possible scenarios.
AND
The AND operator (symbolically: ∧) also known as logical conjunction requires both p and q to be True for the result to be True. All other cases result in False. This is logically the same as the intersection of two sets in a Venn Diagram.
Implication
Logical implication (symbolically: p → q), also known as “if-then”, results True in all cases except the case T → F. Since this can be a little tricky to remember, it can be helpful to note that this is logically equivalent to ¬p ∨ q (read: not p or q)*.
<span>In a typical product-mix problem in linear programming, each general constraint states the function to minimize and maximize a subject in programming to a finite number. This was created by George Dantzig it was further improved using a new method to solving linear programming last 1984.</span>