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IRISSAK [1]
3 years ago
10

Dionne can fold 175 packing boxes in 50 minutes. Elias can fold 120 packing boxes in 40 minutes. Use unit rates to find how much

time it will take each person to fold 210 packing boxes. Drag the numbers to explain and show your answer.
Mathematics
1 answer:
xxTIMURxx [149]3 years ago
8 0

Answer:

60  minutes and 70 minutes respectively

Step-by-step explanation:

Step one:

given data

We are given that Dionne can fold 175 packing boxes in 50 minutes and

Elias can fold 120 packing boxes in 40 minutes

let us find the unit rate of each of them

For Dionne

= 175/50

=3.5 boxed per minute

For Elias

= 120/40

=3 boxed per minute

Step two:

Hence,  each person will fold 210 packing boxes in

For Dionne

= 210/3.5

=60  minutes

For Elias

= 210/3

=70  minutes

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Given the rhombus ABCD, what is ECB
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I think it’s 39. Sorry if I’m wrong!
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3 years ago
What is the slope-intercept form of 9x + 3y = 15?
Sholpan [36]

Answer:

b) y= 3x - 5

Step-by-step explanation:

9x-15 ÷3 = 3x - 5

3y ÷ 3 = y

8 0
3 years ago
PLZ I NEED HELP BUT PLZ EXPLAIN WHEN YOU ANSWER
Natalija [7]

Answer:

Step-by-step explanation:

Let's convert this statement into a system of two equations

3 * (cost of a liter of milk) + 5 * (cost of a loaf of bread) = $11

4 * (cost of a liter of milk) + 5 * (cost of a loaf of bread) = $10

cost of a liter of milk = x

cost of a loaf of bread = y

3x + 5y = 11

4x + 4y = 10

You can now solve this using either substitution or elimination

I'll use elimination. Let's say I want to get rid of the x first. I need to choose numbers to multiply by the top and bottom equations to eliminat the x's. The easiest way to do this is to multiply them by each other. So we'll multiply the top by 4 and the bottom by 3. We'll need to make sure the signs are opposite as well so I'll make that a negative 3 on the bottom.

4 * (3x + 5y = 11)

-3 * (4x + 4y = 10)

12x + 20y = 44

-12x - 12y = -30

Now add straight down

0x + 8y = 14

8y = 14

y = 14/8 = $1.75

Now we can plug this back in to either equation  to find the x. I'll choose the second equation

4x + 4*(1.75) = 10

4x + 7 = 10

4x = 3

x = 3/4 = $0.75

So, cost of a liter of milk = x = $0.75

and cost of a loaf of bread = y = $1.75

3 0
3 years ago
Read 2 more answers
a) What is an alternating series? An alternating series is a whose terms are__________ . (b) Under what conditions does an alter
andriy [413]

Answer:

a) An alternating series is a whose terms are alternately positive and negative

b) An alternating series \sum_{n=1}^{\infty} a_n = \sum_{n=1}^{\infty} (-1)^{n-1} b_n where bn = |an|, converges if 0< b_{n+1} \leq b_n for all n, and \lim_{n \to \infty} b_n = 0

c) The error involved in using the partial sum sn as an approximation to the total sum s is the remainder Rn = s − sn and the size of the error is bn + 1

Step-by-step explanation:

<em>Part a</em>

An Alternating series is an infinite series given on these three possible general forms given by:

\sum_{n=0}^{\infty} (-1)^{n} b_n

\sum_{n=0}^{\infty} (-1)^{n+1} b_n

\sum_{n=0}^{\infty} (-1)^{n-1} b_n

For all a_n >0, \forall n

The initial counter can be n=0 or n =1. Based on the pattern of the series the signs of the general terms alternately positive and negative.

<em>Part b</em>

An alternating series \sum_{n=1}^{\infty} a_n = \sum_{n=1}^{\infty} (-1)^{n-1} b_n where bn = |an|  converges if 0< b_{n+1} \leq b_n for all n and \lim_{n \to \infty} b_n =0

Is necessary that limit when n tends to infinity for the nth term of bn converges to 0, because this is one of two conditions in order to an alternate series converges, the two conditions are given by the following theorem:

<em>Theorem (Alternating series test)</em>

If a sequence of positive terms {bn} is monotonically decreasing and

<em>\lim_{n \to \infty} b_n = 0<em>, then the alternating series \sum (-1)^{n-1} b_n converges if:</em></em>

<em>i) 0 \leq b_{n+1} \leq b_n \forall n</em>

<em>ii) \lim_{n \to \infty} b_n = 0</em>

then <em>\sum_{n=1}^{\infty}(-1)^{n-1} b_n  converges</em>

<em>Proof</em>

For this proof we just need to consider the sum for a subsequence of even partial sums. We will see that the subsequence is monotonically increasing. And by the monotonic sequence theorem the limit for this subsquence when we approach to infinity is a defined term, let's say, s. So then the we have a bound and then

|s_n -s| < \epsilon for all n, and that implies that the series converges to a value, s.

And this complete the proof.

<em>Part c</em>

An important term is the partial sum of a series and that is defined as the sum of the first n terms in the series

By definition the Remainder of a Series is The difference between the nth partial sum and the sum of a series, on this form:

Rn = s - sn

Where s_n represent the partial sum for the series and s the total for the sum.

Is important to notice that the size of the error is at most b_{n+1} by the following theorem:

<em>Theorem (Alternating series sum estimation)</em>

<em>If  \sum (-1)^{n-1} b_n  is the sum of an alternating series that satisfies</em>

<em>i) 0 \leq b_{n+1} \leq b_n \forall n</em>

<em>ii) \lim_{n \to \infty} b_n = 0</em>

Then then \mid s - s_n \mid \leq b_{n+1}

<em>Proof</em>

In the proof of the alternating series test, and we analyze the subsequence, s we will notice that are monotonically decreasing. So then based on this the sequence of partial sums sn oscillates around s so that the sum s always lies between any  two consecutive partial sums sn and sn+1.

\mid{s -s_n} \mid \leq \mid{s_{n+1} -s_n}\mid = b_{n+1}

And this complete the proof.

5 0
4 years ago
Thank you!!!!!!!!!!!!!!!
OverLord2011 [107]

Answer:

Binomial distribution requires all of the following to be satisfied:

1. size of experiment (N=27) is known.

2. each trial of experiment is Bernoulli trial (i.e. either fail or pass)

3. probability (p=0.14) remains constant through trials.

4. trials are independent, and random.

Binomial distribution can be used as a close approximation, with the  usual assumption that a sample of 27 in thousands of stock is representative of the population., and is given by the probability of x successes (defective).

P(x)=C(N,x)*p^x*(1-p)^(n-x)

where N=27, p=0.14, and C(N,x) is the number of combinations of x items out of N.

So we need the probability of <em>at most one defective</em>, which is

P(0)+P(1)

= C(27,0)*0.14^0*(0.86)^(27) + C(27,1)*0.14^1*(0.86^26)

=1*1*0.0170 + 27*0.14*0.0198

=0.0170+0.0749

=0.0919


4 0
3 years ago
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