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Ksenya-84 [330]
3 years ago
8

What is 4y-3x???Pls help for math

Mathematics
2 answers:
vodka [1.7K]3 years ago
7 0

Answer:

No solution

Step-by-step explanation:

It's an expression, which means there isn't an answer. I feel like you've left out some needed information.

77julia77 [94]3 years ago
4 0

Answer:

There is no solution

It's an expression, which means there isn't an answer. I feel like you've left out some needed information.

Step-by-step explanation:

PLZ MARK ME BRAINLYIST

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On a number line, what is x-4<-3?
goblinko [34]

Add 4 to both sides

x - 4 < -3

x-4+4 < -3+4

x < 1

To graph this on a number line, plot an open circle at 1 on the number line. Do not fill in the open circle. Shade to the left of the open circle. The shaded region represents all x values smaller than 1.

The graph is shown below.

3 0
4 years ago
At the deli, 2 turkey subs and 5 veggie subs cost $29. 4 turkey subs and 3 veggie subs cost
MrMuchimi

Answer:

4/9 of sales are veggie 5/9 are turkey

4/(4+5)=4/9

5/(4+5)= 5/9

4/9 x 27 = 12

5/9 x 27 = 15

12 veggie subs sold and

15 turkey subs sold

12+15=27 total sold

Step-by-step explanation:

3 0
3 years ago
2 1/8 of 450 with solution
nika2105 [10]

Answer:

Step-by-step explanation:

hello :

450×21/8=1181,25

5 0
3 years ago
Read 2 more answers
What is the second-order solution formula
fgiga [73]

Answer:

an equation involving the unknown function y, its derivatives y' and y'', and the variable x.

Step-by-step explanation:

4 0
4 years ago
Suppose we have a population that does not follow the normal distribution. What minimum sample size we should select in order to
Pepsi [2]

Answer:

D. 30

Step-by-step explanation:

Having a population that doesn't follow normal distribution (skewed) can still have sampling distribution that is completely normal. This fact is presented in the Central Limit Theorem.

Central Limit Theorem: states that we can have a normal distribution of sample means even if the original population doesn't follow normal distribution, we just need to take a large sample.

So how much sample size do we need?

There is no straight forward answer to this rather we have to analyse the situation closely!

1. If the population distribution is already normal then a smaller sample size would be enough to ensure normal distribution.

2. If the population distribution is very skewed than a larger number of sample size is needed to ensure normal distribution. The rule of thumb is to take sample size equal to or more than 30 to be on safer side. This is the case in this problem hence option D fits the best.

5 0
4 years ago
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