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Create a set A with multiples of 5 that are less than 33.

Answers

Answer 1
Answer:

Answer:

A={5,10,15,20,25,30}

Step-by-step explanation:

Theres no explanation

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The number 3456 is divisible by wich single-digit number?

Answers

I'm assuming what you mean is what can you divide 3456 by to get a natural number.

First of all every number is divisible by 1.  

Every even number is divisible by 2, so since 3456 is an even number, it can be divided by 2.  That would equal 1728.

2456 can also be divided by 3, to get 1782.  

You can also divide it by 4, to get 865.

Divided by 6, it's 576.

Divided by 8, it's 432.

And lastly, 3456 divided by 9 is 384.

So, there isn't just one single-digit number you can divide 3456 by to get a natural number.  You can divide it by 1,2,3,4,6,8, and 9.

Hope that helps!

Please Help! I'm lost, in a maze and I can't find my way out.

Answers

Show us the maze and we will help

An attendant at a car wash is paid according to the number of cars that pass through. Suppose that following payments are made with the following probabilities: Payment Probability $7 0.18 $9 0.08 $11 0.09 $13 0.16 $15 0.08 $17 0.41 Find the standard deviation of the attendant's earnings.

Answers

Answer:

E(X) = 7*0.18 +9*0.08 +11*0.09 +15*0.08 +17*0.41 =13.22

And we can find the second moment with this formula:

E(X^2) = \sum_(i=1)^n X^2_i P(X_i)

And replacing we got:

E(X^2) = 7^2*0.18 +9^2*0.08 +11^2*0.09 +15^2*0.08 +17^2*0.41 =189.72

And we can find the variance like this:

Var(X) = E(X^2) -[E(X)]^2= 189.72- (13.22)^2 =14.9516

And the deviation would be:

Sd(X)= √(14.9516)= 3.867

Step-by-step explanation:

For this case we have the following dataset given:

Payment     $7     $9     $11    $13    $15  $17

Probability 0.18  0.08  0.09  0.16  0.08   0.41

For this case we can calculate the mean with this formula:

E(X) = \sum_(i=1)^n X_i P(X_i)

And replacing we got:

E(X) = 7*0.18 +9*0.08 +11*0.09 +15*0.08 +17*0.41 =13.22

And we can find the second moment with this formula:

E(X^2) = \sum_(i=1)^n X^2_i P(X_i)

And replacing we got:

E(X^2) = 7^2*0.18 +9^2*0.08 +11^2*0.09 +15^2*0.08 +17^2*0.41 =189.72

And we can find the variance like this:

Var(X) = E(X^2) -[E(X)]^2= 189.72- (13.22)^2 =14.9516

And the deviation would be:

Sd(X)= √(14.9516)= 3.867

according to the line plot how many more Runners ran 1/3 of a mile for their warm-up than ran 1/4 of a mile​

Answers

Answer:

2

Step-by-step explanation:

count how many more

2. Jack’s parents were planning a big birthday party for him. Answer the questions below. Show your work for all parts.a. His parents spent $4.49 on each of 6 goodie bags. How much did they spend on goodie bags?

b. They spent $150 to rent a bounce house for 8 hours. How much is the hourly rate for the rental?


c. If the parents spent a total of $400 on everything for the party, how much more did they spend in addition to what was spent in parts (a) and (b)?

Answers

A. Do 4.49 times 6 B. Do 150 divided by 8 C. I belive you add the answers for A and B and then subtract that from 400 and then that’s your answer for part C

A. Do 4.49 times 6 B. Do 150 divided by 8 C. I belive you add the answers for A and B and then subtract that from 400 and then that’s your answer for part C

Really easy question-12/15 + -5/15 ?
There’s an even amount of negatives so will the answer be positive?

Answers

It’s negative = -17/15
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