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lbvjy [14]
3 years ago
9

What does the expression n + 3

Mathematics
1 answer:
GuDViN [60]3 years ago
6 0
It means the sum of a number and 3.
Sum means to add up.
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What is the value of x in the figure above? Assume ↔B and ↔C are parallel.
Deffense [45]

Answer:

x=4

Step-by-step explanation:

180-58=26x+18

122=26x+18

122-18=26x

104=26x

4=x

6 0
3 years ago
-8=-16+m <br> pls show work! ty
rosijanka [135]

Answer:

-8=-16+m

-8+16=m

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What can you multiply to give you -42 and add up to 1
yanalaym [24]
-6 + 7 = 1 and -6*7 = -42

So f(x) = (x + 7)(x - 6)
7 0
3 years ago
Sebastian received 200 in holiday presents.He deposited 70% of that money in his bank account. How much did he put his bank acco
VashaNatasha [74]

Answer:

$140 in the bank account

Step-by-step explanation:

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7 0
3 years ago
The amount that households pay service providers for access to the Internet varies quite a bit, but the mean monthly fee is $50
Natali5045456 [20]

Answer:

(a) See Explanation

(b) \bar x =50 and \sigma_x = 0.8944

(c) The shape is normal

(d) P(\bar x > 55) = 0

Step-by-step explanation:

Given

\mu = \$50 -- mean

\sigma = \$20 --- standard deviation

n=500 --- sample size

Solving (a): The reason we can't determine the probability that an amount to access internet by a household will exceed $55.

The question says that a lot of households pay low rates, but the percentage of the households in this category is not given. This means that it is impossible to determine the shape of the distribution.

Hence, the probability cannot be calculated.

Solving (b): Sample mean and Sample standard deviation

The sample mean estimates the population mean

So:

\bar x =\mu

\bar x =50

The sample standard deviation is calculated as thus:

\sigma_x = \frac{\sigma}{\sqrt n}

\sigma_x = \frac{20}{\sqrt{500}}

\sigma_x = \frac{20}{22.36}

\sigma_x = 0.8944

Solving (c): The shape of the distribution.

We have:

n = 500 --- The sample size

According to Central limit theorem, When the sample size is greater than 30, then the shape of the distribution is normal.

<em>Hence, the shape is normal</em>

Solving (d): P(\bar x \ge 55)

Calculate the test statistic (t)

t = \frac{\bar x - \mu}{\sigma}

t = \frac{55 - 50}{0.8945}

t = \frac{5}{0.8945}

t = 5.590

So:

P(\bar x > 55) = P(t > 5.590)

Referencing the z table, we have:

P(t > 5.590) = 0

Hence:

P(\bar x > 55) = 0

5 0
3 years ago
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