Parabola Equation

A parabola is a conical section formed by the intersection of a conical right circular surface and plane which is parallel to the straight line generated at that surface. The parabola can also be generated by examining the point called as focus and the line called as directrix. The locus of all points in the plane which are at equal distances from both the point and the line is said to be as the parabola. The line which passes through the focus (line which splits parabola in the middle) and lies perpendicular to the directrix is known as the “Axis of Symmetry”. Also the point present on this symmetry of axis which will intersect the parabola is known as the “Vertex”. In this vertex point, the curvature will be always greatest. A parabola can be opened up and down, left and right or even in some other arbitrary directions. They can be rescaled or repositioned in order to fit exactly with any other parabola, which implies that all parabolas are similar.

Standard form of a Parabola Equation
The general form for finding the Equation of a parabola is given as,
Y = ax2 + bx + c, where ‘x’ and ‘y’ are the points on the parabola.
In the above equation, when the value of ‘a’ is greater than zero, then the parabola will open upwards and when the value of ‘a’ is lesser than zero, then the parabola will open downwards. Also, the axis of symmetry will be the line of ‘x’ value equaling to negative of ‘b’ divided by 2a.

Parabola Equation Vertex
The point where the parabola will cross its axis is simply said as the vertex of a parabola equation. From the above standard equation of parabola, it implies that when the coefficient of x2 term occurs as positive, then the vertex will be at lowest point drawn on the graph. Similarly, when comes with negative coefficient of x2, it will be at highest point which can be said to be at the “U’ shape top.
The vertex form of a parabola equation can be written as,
Y = a(x-h) 2 + k, where ‘h’ and ‘k’ are the vertices of a parabola.

The parabola can also form into horizontal direction in the graph extending through the horizontal axis. The horizontal parabola Equation is simply as same as the standard form of parabola equation.

There are numerous websites which provide Parabola Equation solver in which when we give the vertex and focus of the parabola, it will automatically generate the standard and vertex form of the parabola.

Concept of dependent variables in math and statistics

A dependent variable in math is a variable the value of which depends on one or more other variables. For example if we have an equation that looks like: y = 2x+ 3. Here, y is one such variable because the value of y would depend on what value is assigned to x. Such an equation is called an equation in two variables. When plotting such a relationship on a graph, the independent of the variable x is usually plotted on the x axis and the dependent-variable axis is usually the y axis. Therefore, if the relationship is like this: p = 3q + 7, then the independent of the variable q would be plotted on the x axis and the dependent of these which is p would be plotted on the y axis.

Dependent variable in an experiment can be compared to the output of the experiment. The independent of these variables is usually the input variable in any dependent random variables experiment. This definition of the dependent type of variable is by and large common throughout the world. However its application would vary a little depending on whether the experiment is statistical or is it just mathematics.
Dependent variables examples:

A medical research laboratory is studying the effect of a specific drug in treatment of cancer. Here the quantity of drug administered would be the independent-variable, and the affect the drug has on cancer would be the dependent of the variables.  This is also a statistical example of such dependent pattern variable.

The equation we saw above: y = 2x + 3 is a mathematical example. Here y is the dependent and x is the independent one. When talking of these dependent of the variables, another concept that needs to be considered is that of limited dependent variables and unlimited dependent ones.  This concept is more applicable to statistical models. There are experiments where in one independent of the variable affects more than one dependent patterns. These multiple dependent or responding variables may be limited to 2 or 4 or 10 or may be unlimited. For example if the amount of chlorine in a water supply system of a town is the responding variable, and we know that change in the chlorine amount would affect the people drinking that water, people using that water for washing clothes or utensils, the effect of such water on animals, plants, metal pipes that carry that water, etc. Therefore there are many dependent or responding variables.

Introduction of Coins as Money

Money is the only factor which every single works for and in this materialistic world one can buy anything and everything with money. Money can be termed as an essential factor for living in today’s world. There can never be a question What Coins are Worth Money since even a penny makes something complete. There are people in this world who seek for the same coin which many take it for granted and leave behind. To understand the worth of a penny one should know What is Money and the answer for that will explain and serve the purpose.

Coins are of different value according the number valued on it. Money Coins are of different size and of different value. Today, these coins are valued more, that is their value is increased earlier there has been just a low value coin and now the government has started providing coins of high value. The value of a coin can be well explained by a beggar who begs for a penny to get his / her breakfast. A coin lost will make the person understand the worth and value of it.

Coins are actually better for blind people, since it is made of steel and can be felt and sense the value of the coin just by touching it. Money Coins Pictures actually help in serving the above usage to avoid duplicate coins when given to a blind person. The best part is, a blind person can find out the money note the difference between duplicate and original.

The above is the advantage of coins, but there are disadvantages in using the coins. The coins are very small in size and it is possible for a person to lose the same out of negligence. And they make the wallet filled up and often spoil the wallet when piled up and not used. There are people who think that it is cheap if they use a coin to buy things in their daily life. The importance of coin is realized in bus when the ticket conductor has no change and we are forced to get down of the bus. The irritation increases when the same bus conductor takes some coins worth .50 or 1 rupee since he has no change to provide the passenger. The coin is good and very important to a section of people and another part take it for granted.

Conditional and Biconditional statements

A conditional statement is a statement which is performed by if true or false. For eg: if p and q are two propositions, "if p then q" is known as conditional statement or implication. A statement is called biconditional when it is expresses the idea that the presence of some property is a necessary and sufficient condition for the presence of some other property.

Conditional and Biconditional Statements:

Conditional statements and biconditional statements of different propositions may be obtained by conjunction, disjunction and negation of propositions.

Conjunction Statement:
If p and q are two propositions, then compound proposition, "p and q" is known as conjunction of the proposition. It is indicated by p q. The conjunction of two propositions p and q are true, if both p and q are true and in all other cases it is false.

Disjunction Statement:
If p and q are two propositions, then the compound proposition "p or q" is called the disjunction of p and q. It is indicated by p v q. The disjunction p v q of two proposition p and q are false if both p and q are false and in all other cases, it is true.

Negation Statement:
Let p be any proposition. The suggestion "not p" is called the negation of p. It is indicated by ~p. The negation p is false if p is true and also the negation p is true if p is false.

Example for Conditional and Biconditional Statements:

Consider the proposition, “If it is rainy then it is cloudy”, which we say is a conditional statement.
Let us consider, p =“It is raining”, q =“It is cloudy”. Then the proposition can be written as “If p then q”. We symbolize this as, p à q. This can also be deliberated as “p implies q”. We never want something false to follow from something true; i.e. we do not want “If pq” to be true if p is not true and then q is not true.

Factors of a Number

The term factor of a number is a part in which a number can be broken down. All the factors of a number when multiplied together give the number. For example number 12; let us try with a factor tree, which helps in figuring out all different factors.

To Find the Factors of a Number 12, we can see that one is divisible by 12 so one is a factor. Then 2, 3,4 are too divisible so they all are factors of 12 too. We see if 5 is a factor or not, as 5 is not divisible by 12 so 5 is not a factor of 12. Then we take 6 and see the other numbers too. Hence we can conclude that All Factors of a Number 12 are 1, 2, 3, 4, 6 and 12.

Because these are also parts that can give us 12 so these are all numbers which can be considered as Factors of Number 12. Number one is the factor of all the numbers. From the algebra perspective we can see it this way, suppose we have x^2+3x . Let’s us understand by knowing first what do they have in common. So they both have an x, hence x is considered as a factor here.  And about the left overs, x times x is x ^2 and x times what is positive 3 after taking x as common, this equation can be written as X(x+3).

So we have factors not just in numbers but also in algebraic expressions in terms of variables. Factors are basically the numbers, which a larger number can get divided by.  Similarly if we have number, its factors will be 1, 3 and 9. We can find the Missing Factor by simply dividing the factor we know by the number we have. For example: - if we have number 15 and 1 and 5 are factors given to us.

To determine its missing factors, we can divide 15 by 5 which would give us 3. Hence 3 is also a factor. Therefore 1, 3, 5 and 15 are the factors of 15. Let us do one more example of finding the factors like what are the factors of number 8. As starting with the lowest number and its partner of course one times 8 gives us 8 only. Then 2, 4 and 8 are divisible by 8 too. Thus, 1,2,4,8 are all factors for number 8.

Classifying triangles

Triangle is one of the polygon. The triangle has three sides and it falsehood in the equivalent flat surface and the calculation of internal angle measures to 180 degrees. The external angle is like to the measure of isolated interior angles in their classifying triangles. The sum of any two sides is greater the third side.

The triangles can be classifying on the basis of length of sides and the size of angles

Classifying Triangles on the Basis of Length:

The triangles can be classifying on the basis of length of sides and the size of angles.

• Equilateral Triangle,
• Isosceles Triangle,
• Scalene Triangle.

Triangles are classifying as

Equilateral Triangle:

The triangle has identical length of sides. Each angle measures to 60 degrees. It is a type of normal polygon.

Isosceles Triangle:

The triangle has two conflicting sides are parallel to each other. It also has two one and the same angles. The base angles opposite to the equal sides are equal

Scalene Triangle:

The triangle sides are unequal is normally known as scalene triangle. These types of triangles are having unequal sides

Classifying Triangles on the Basis of Angles:

Classifying triangles by using angles:

• Right angles triangle,
• Acute triangle,
• Obtuse triangle

Right Triangle:

If one angle of a triangle is a 90 degree angle, followed by the triangle is known as Right angled triangle or right triangle. Right angle is the same to 90 degrees. It follows the Pythagoras theorem.

In a right-angled triangle,

The square on the hypotenuse = sum of the squares on the legs

Acute Triangle:

When all the three angles of a triangle are acute, it is normally named as an acute triangle. Acute angle is an angle which is a slighter amount than 90 degrees.

Obtuse Triangle:

When one of the angle is obtuse in triangle, that the triangle is namely represented as an obtuse angled triangle, or an obtuse triangle. An Obtuse angle is an angle which is superior than 90  and a lesser amount of than 180 .

How to calculate Interquartile Range?

Inter quartile range is the variability measure by dividing an ordered dataset into three quartiles. It is used in the calculations of statistics instead of total ranges. Interquartile Range (IQR) is also sometimes called as the middle-fifty or midspread which measures the statistical dispersion of data.

Definition of Interquartile range

When a given set of data is divided into three quartiles based on median of those values, which will be discussed later, IQR can be defined. IQR is defined as the difference of the third or upper quartile (seventy fifth percentile) to the first or lower quartile (twenty fifth percentile) of the data in an ordered range. Half of this range of value is termed as semi-inter quartile range. The Statistics interquartile range is used to summarize the extension of data which is spread. This is considered as more effective than the median or mode values since it shows the range of dispersion rather than a single value.

Steps to Calculate the Interquartile range
Let us consider a dataset having 9 numbers 19, 20, 4, 9,8,11,15,10,12 and calculate the inter quartile range for that.
Step 1: Arrange the given set of data from smallest to largest number. Therefore the order changes to 4,8,9,10,11,12,15,19,20.
Step 2: Find the median of the series. Median is the exact middle number of a series, if the total numbers are odd. If the total number in the set is even, then the average of two middle numbers will be the median. In the above case since total numbers 9 is odd, the 5th data will be the median, which is 11.
Step 3:  Now we have to find the Q1 from left side numbers of the median and Q3 from the right side numbers of the median. From the left side 4 numbers we will get the median as (8+9)/2=8.5, which is Q1.  From the right side numbers we will get the median as (15+19)/2=17, which is Q3.
Step 4: Now, the formula for finding interquartile range is, IQR = Q3-Q1. Therefore we get the IQR as 17-8.5=8.5. Thus 8.5 is the Inter quartile range of the given series.

Thus the separation of quartile decides the value of the IQR and one should be keen on calculating the quartile values.
Alternative definition IQR can also be defined as the distance between the smallest and largest values which are present in the middle 50 percent of the dataset.  Consider a dataset having numbers 1, 3, 4,5,5,6,7,11.  After neglecting the upper and lower quartiles of the dataset, we get the remaining middle numbers as 4,5,5,6. Hence from this the IQR can be calculated as 6-4=2.