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saul85 [17]
3 years ago
11

Please help. I’ll mark you as brainliest if correct!

Mathematics
1 answer:
yKpoI14uk [10]3 years ago
3 0

Answer:

When x = -1/4 and when x = -15/4

Step-by-step explanation:

The x intercept will be when f(x)=0, so

0 = 4|x+2| -7

7 = 4|x+2|

|x+2|=7/4 here you have to cases

case 1

x+2=7/4

x=7/4-2

x=-1/4 = -0.25

case 2

x+2 = -7/4

x = -2-7/4

x = -15/4 = -3.75

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What are the units for the variable in the following scenario?
krek1111 [17]

Answer:

Her grocery bill was <u>$4.62</u>.

Step-by-step explanation:

There is some mistake in question so the correct question is:

Sherry bought 6 apples at 43¢ per apple. She then bought 4 oranges at 51¢ per orange. How much was her grocery bill?

Now, to find the grocery bill.

As the units are given:

<em>43¢ per apple and </em>

<em>51¢ per orange.</em>

$1 = 100¢.

So, the cost of 6 apples = 0.43\times 6=2.58

Thus, the cost of 6 apples = $2.58

And the cost of 4 oranges = 0.51\times 4=2.04

Thus the cost of 4 oranges = $2.04

Now, to get the total grocery bill we add the cost of apples and oranges:

\$2.58+\$2.04

=\$4.62

Therefore, her grocery bill was $4.62.

7 0
2 years ago
What is the explicit tule for this sequence?
Oksi-84 [34.3K]

Answer:

an = 8n − 65 is the correct answer

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2 years ago
Suppose that Upper X has a discrete uniform distribution f left-parenthesis x right-parenthesis equals StartLayout left-brace1st
emmasim [6.3K]

Answer:

the probability that the sample mean is greater than 2.1 but less than 2.4 is 0.2444

Step-by-step explanation:

Given the data in the question;

x        f(x)         xp(x)               x²p(x)

1         1/3        0.33333        0.33333

2        1/3        0.66667        1.33333

3        1/3        1.00000        3.0000

∑                    2.0000          4.6667

∑(xp(x)) = 2

∑(x²p(x)) = 4.6667

Variance σ² = ∑(x²) - ∑(x)² = 4.6667 - (2)² = 4.6667 - 4 = 0.6667

standard deviation σ = √variance = √0.6667 = 0.8165

Now since, n = 33 which is greater than 30, we can use normal approximation

for normal distribution z score ( x-μ)/σ

mean μ = 2

standard deviation = 0.817

sample size n = 33

standard of error σₓ = σ/√n = 0.817/√33 = 0.1422

so probability will be;

p( 2.1  < X < 2.4 ) = p(( 2.1-2)/0.1422) <  x"-μ/σₓ  <  p(( 2.4-2)/0.1422)

= 0.70 < Z < 2.81    

=  1 - ( 0.703 < Z < 2.812 )

FROM Z-SC0RE TABLE

=  1 - ( 0.25804 + 0.49752 )

= 1 - 0.75556

p( 2.1  < X < 2.4 ) = 0.2444

Therefore,  the probability that the sample mean is greater than 2.1 but less than 2.4 is 0.2444

7 0
3 years ago
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rosijanka [135]

Answer:

-4 or -3

Step-by-step explanation:

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7 0
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