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Airida [17]
3 years ago
9

What is the difference?

Mathematics
1 answer:
Whitepunk [10]3 years ago
4 0

Answer:

\frac{x^2+3x  -12}{(x-5) (x +3)(x+7)}

Step-by-step explanation:

Given

\frac{x}{x^2-2x-15} - \frac{4}{x^2+2x-35}

Required

Calculate the difference

We start by factorizing the denominator of both fractions

\frac{x}{x^2-2x-15} - \frac{4}{x^2+2x-35}

\frac{x}{x^2+3x - 5x -15} - \frac{4}{x^2+7x - 5x-35}

\frac{x}{x(x+3) - 5(x +3)} - \frac{4}{x(x+7) - 5(x+7)}

\frac{x}{(x-5) (x +3)} - \frac{4}{(x-5)(x+7)}

Take LCM

\frac{x(x+7) - 4(x +3)}{(x-5) (x +3)(x+7)}

Open Brackets

\frac{x^2+7x - 4x -12}{(x-5) (x +3)(x+7)}

\frac{x^2+3x  -12}{(x-5) (x +3)(x+7)}

This can't be simplified any further;

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snow_tiger [21]
It’s 3 it’s 3 it’s 3 it’s actually 5
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3 years ago
The Chocolate House specializes in hand-dipped chocolates for special occasions. Three employees do all of the product packaging
kirza4 [7]

Answer:

Step-by-step explanation:

given that the Chocolate House specializes in hand-dipped chocolates for special occasions. Three employees do all of the product packaging

Clerk          I           II           III    total

   

Pack      0.33          0.23    0.44 1

   

Defective 0.02 0.025    0.015  

   

Pack&def 0.0066 0.00575 0.0066 0.01895

a)  probability that a randomly selected box of chocolates was packed by Clerk 2 and does not contain any defective chocolate

= P(II clerk) -P(II clerk and defective) = 0.23-0.00575=0.22425

b) the probability that a randomly selected box contains defective chocolate=P(I and def)+P(ii and def)+P(iiiand def)

=0.01895

c) Suppose a randomly selected box of chocolates is defective. The probability that it was packaged by Clerk 3

=P(clerk 3 and def)/P(defective)

=\frac{0.0066}{0.01895} \\=0.348285

8 0
3 years ago
If P = 2l + 2w, the formula to find w is .<br> If P is 30 units and l is 10 units, w is units.
Helen [10]

Answer:

<u>If P is 30 units and l is 10 units, w is 5 units</u>

Step-by-step explanation:

1. Let's check the information given to resolve the question:

P = 2l + 2w

If P is 30 units and l is 10 units, w is units

2. Replacing with the values:

P = 2l + 2w

30 = 2 (10) + 2w

30 = 20 + 2w

-2w = 20 -30 (Subtracting 2w and - 30 to both sides)

-2w = - 10

2w = 10 (Multiplying by - 1 at both sides)

<u>w = 5 (Dividing by 2 at both sides)</u>

<u>If P is 30 units and l is 10 units, w is 5 units</u>

<u>Note: Same answer than question 13938258</u>

4 0
3 years ago
The table shows the age and finish time of ten runners in a half marathon.
tiny-mole [99]

Answer:

Left box: Outlier in this data set is (57,132)

Right box: because the finish time looks faster than expected for the age.

Step-by-step explanation:

As per the given table shows the age and finish \ time of 10 runners.

It is clear that people of age around 35 are finishing at around 142 \ minutes

and person with older age takes longer to finish.

One person of age 57 finishes in 175 \ minutes , that looks as expected.

Another person of same age (57) finishes it too fast which is unexpected.

Therefore (57,132) is an outlier, because it looks a faster finish as per expected.

7 0
3 years ago
Read 2 more answers
Consider the probability that no less than 96 out of 145 people will not get the flu this winter. Assume the probability that a
dsp73

Answer:

0.1324 = 13.24% probability that no less than 96 out of 145 people will not get the flu this winter.

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 145, p = 0.61

So

\mu = E(X) = np = 145*0.61 = 88.45

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{145*0.61*0.39} = 5.87

Consider the probability that no less than 96 out of 145 people will not get the flu this winter.

More than 95 people, which is the same as 1 subtracted by the pvalue of Z when X = 95. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{95 - 88.45}{5.87}

Z = 1.115

Z = 1.115 has a pvalue of 0.8676

1 - 0.8676 = 0.1324

0.1324 = 13.24% probability that no less than 96 out of 145 people will not get the flu this winter.

6 0
2 years ago
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