Answer:
B) 36/(y+4)
Step-by-step explanation:
Use the process of elimination.
A cannot work because we are changing the operation. Instead of dividing thirty-six by the sum of four and a number, we are dividing thirty-six by four, then adding the unknown number. This is not the same as the original expression, so we know it is not this.
Next, check C. C doesn't seem right either. Remember that, unlike multiplication and addition, you cannot flip the order in which the operation is being done and still get the same answer. C says four plus a number divided by thirty-six, which is entirely different from our original expression. So the answer is not C.
And finally, check D. D doesn't work either. With D, we are dividing thirty-six by a number, then adding it to thirty-six divided by four. This is not the same as our original expression, so D isn't it.
That leaves us with B. Does it work? Yes, because changing the y and the four still will give the same thing. And yes, because 36 is being divided by the sum of that number and four. So it is our answer.
Answer:
Step-by-step explanation:boom boom boom boom i want you in my room lets spend the night together
Answer:
558
Step-by-step explanation:
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<span>What is the question?
This is an example of an ideal distribution and statical preview of the sample gathered from the population. 900 samples is a great number considering the central limit theorem of 30.
This distribution could also be described as a mesokurtic and normal form of the statistical model.
Statistics. </span><span>Statistics is a branch of mathematics which is the scientific study of mathematical values pertaining to qualitative descriptions and transcribe them into quantifying values such as the descriptive statistics and infuses these quantities in the field of inferential statistics. In these two categories involve probabilities, distribution and deviations which are mainly compositions of the descriptive statistics. Inferential statistics will involve comparison and variation of the given values. Methods are t-test, analysis of variance, and two-way analysis of variance and other methods. </span>