There is no box below!
To evaluate the expression (3xy + 4y^3) when (y = 2) and (x = 5), substitute the values into the expression. This gives: [ 3(5)(2) + 4(2^3) = 30 + 4(8) = 30 + 32 = 62. ] Thus, the value of the expression is 62.
To determine the degree of an expression, you need to identify the highest power of the variable present. If you provide the specific expression, I can help you find its degree.
To represent the phrase "the number of dogs" as a variable expression, you can simply use the variable ( d ). In this case, ( d ) stands for the total count of dogs being referred to. If you need to express a specific quantity or perform calculations, you can manipulate this variable accordingly, such as ( d + 2 ) for two additional dogs.
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The expression ((6 - 7)3) simplifies as follows: first, calculate (6 - 7), which equals (-1). Then, multiply (-1) by (3), resulting in (-3). Therefore, the expression is equal to (-3).
There is no variable in (8x12)+8, so it would be called an arithmetic expression. It would evaluate to 96+8 = 104.
Evaluate the expression below when x = 2.3x2-2x+4
2*3+3*22=
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The expression ((6 - 7)3) simplifies as follows: first, calculate (6 - 7), which equals (-1). Then, multiply (-1) by (3), resulting in (-3). Therefore, the expression is equal to (-3).
The answer is given below:
It will be difficult to answer this question accurately without knowing "the expression below."
I can see no rational expression below.
How often the value of a random variable is at or below a certain value.
Which shows the expression below simplified?0.000054 ÷ (9 × 10-4)
To find the equilibrium concentration of NO, first calculate the equilibrium constant expression using the given concentrations of O2 and N2. Then, rearrange the equilibrium constant expression to solve for the concentration of NO. Finally, substitute the values of O2 and N2 concentrations into the rearranged expression to find the equilibrium concentration of NO.
The probability of a random variable being at or below a certain value is defined as the cumulative distribution function (CDF) of the variable. The CDF gives the probability that the variable takes on a value less than or equal to a given value.