Answer:
1.28571428571
Step-by-step explanation:
9/7+1.2 in all
Given the question "<span>Which algebraic expression is a polynomial with a degree of 2?" and the options:
1).
2).
3).
4).
A polynomial </span><span>is
an expression consisting of variables and
coefficients, that involves only the operations of addition,
subtraction, multiplication, and non-negative integer exponents of
variables.
</span><span>The degree of a polynomial is the highest exponent of the terms of the polynomial.
For option 1: </span><span>It contains no fractional or negative exponent, hence it is a polynomial. But the highest exponent of the terms is 3, hence it is not of degree 2.
For opton 2: It contains a fractional exponent which violates the definition of a polynomial, hence, it is not a polynomial.
i.e.
For option 3: </span><span>It contains a negative exponent which violates the definition of a polynomial, hence, it is not a polynomial.
i.e.
For option 4: It contains no fractional or negative exponent, hence it is a polynomial. Also, the highest exponent of the terms is 2, hence it is of degree 2.
</span>
Therefore, <span>
s a polynomial with a degree of 2. [option 4]</span>
Answer:
57.14$
Step-by-step explanation:
70/100 ( Remember 30% off so only paid 70% of original price) = 40/x ( 40$ is the price paid, x is the unknown original price)
<u>7</u><u>0</u><u> </u> = <u>4</u><u>0</u>
100 X
40×100 = 4,000
4,000÷ 70X = 57.14
Answer:
0
Step-by-step explanation:
you see that multiply by 0 sign no matter what the answer will always be 0
Answer:
Pete
Step-by-step explanation:
Given that:
Mandy's Estimate :
Number of spins , n = 20
Pete's Estimate:
Number of spins, n = 200
A good probability estimate is one which has narrow margin of error with a high degree of confidence. These two variables are affected by sample size.
A high sample size give a narrower margin of error and increases the confidence level probability
Based on the sample size used by each of Pete and Mandy, we can conclude that, Pete's probability estimate would be better due to its significantly higher sample size.