<span>Polynomials can be classified two different ways - by the number of terms and by their degree.
1. Number of terms.
<span><span>A monomial has just one term. For example, 4x2 .Remember that a term contains both the variable(s) and its coefficient (the number in front of it.) So the is just one term.</span> <span>A binomial has two terms. For example: <span>5x2</span> -4x</span> <span>A trinomial has three terms. For example: <span>3y2</span>+5y-2</span> <span>Any polynomial with four or more terms is just called a polynomial. For example: <span>2y5</span><span>+ 7y3</span><span>- 5y2</span>+9y-2</span></span>
Practice classifying these polynomials by the number of terms:
2. Degree. The degree of the polynomial is found by looking at the term with the highest exponent on its variable(s).
Examples: <span><span>5x2-2x+1 The highest exponent is the 2 so this is a <span>2nd degree</span> trinomial.</span> <span>3x4+4x2The highest exponent is the 4 so this is a <span>4th degree</span> binomial.</span> <span>8x-1 While it appears there is no exponent, the x has an understood exponent of 1; therefore, this is a <span>1st degree</span> binomial.</span> <span>5 There is no variable at all. Therefore, this is a 0 degree monomial. It is 0 degree because x0=1. So technically, 5 could be written as 5x0.</span> <span>3x2y5 Since both variables are part of the same term, we must add their exponents together to determine the degree. 2+5=7 so this is a <span>7th degree</span> monomial.</span></span> Classify these polynomials by their degree.
For this expression I guessed I would use subtraction because when you subtract Kimiko's miles to Celeste's miles you could see how much faster Kimiko was than Celeste.
In the histogram described by the first option, the peak (18) is located at 40-50. Also, a frequency of zero is observed for range 10-20. The cluster from 20–50 means that most of the data is between this range, in fact, only 1 point is located at range 0 - 10, outside this cluster.
I believe ( i am not 100% certain) that the theoretical probability would be 1/2 or 300/600 and the experimental probability is 252/600, you may need to simplify that