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Sidana [21]
3 years ago
13

Find the number of subsets for the following set. {3, 4, 5} How many subsets does this set​ have? nothing ​(Type a whole​ number

.)
Mathematics
1 answer:
AlexFokin [52]3 years ago
6 0
8. When you’re making subsets, you have two options for each element in the original set: you can either include it or not. This gives you 2 x 2 x 2 = 8 possible ways you can put a subset together from the three elements in {3, 4, 5}.
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Which expression is equivalent to 10- (2x^3 + 11x^2 - 2x - 35)
Semenov [28]

Answer:

22x^2+x+3

Step-by-step explanation:

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Please answer right awat
likoan [24]

<u>Answer:</u>

The correct answer option is 0.2.

<u>Step-by-step explanation:</u>

We are given that there are 3 red marbles and 3 green marbles in an opaque bag.

If two marbles are chosen one after one without replacement, we are to find the probability of getting both green marbles.

P (1st green marble) = \frac { 3 } { 6 }

P (2nd green marble) = \frac { 2 } { 5 }

P (both green marbles) = \frac { 3 } { 6 } \times \frac { 2 } { 5 } = 0.2

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What is the sum of negative 3 and negative 9
LenaWriter [7]
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Read 2 more answers
Is 2 a solution of the inequality 4 + a ≤ 6? *
zaharov [31]

Answer:

The answer is "Yes, 6 = 6"

Step-by-step explanation:

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7 0
2 years ago
PLZ ANSWER ASAP!!!!! Part B
bazaltina [42]

The equation of the linear regression  is \^ y = 3.58125\^x + 202.575

<h3>Graphing tool</h3>

To determine the line of best fit, we make use of a graphing tool

See attachment for the graph of the line of best fit

<h3>The equation</h3>

From the graphing tool, we have the following calculation summary

  • Sum of X = 440
  • Sum of Y = 3601.5
  • Mean X = 44
  • Mean Y = 360.15
  • Sum of squares (SSX) = 1440
  • Sum of products (SP) = 5157

The regression Equation is then represented as:

\^y = b\^x + a

Where:

b = \frac{SP}{SSX} and a = \bar y - b \times \bar x

b = \frac{5157}{1440}

b = 3.58125

Also, we have:

a = \bar y - b \times \bar x

a= 360.15 - (3.58\times 44)

a = 202.575

So, the linear regression equation is:

\^ y = 3.58125\^x + 202.575

Read more about linear regression at:

brainly.com/question/17844286

4 0
2 years ago
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