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Stella [2.4K]
3 years ago
6

What is 2x + 18 = 20?????

Mathematics
2 answers:
Gennadij [26K]3 years ago
8 0

Step-by-step explanation:

Hello there!

Just solve for x by combining like terms:

2x+18=20

2x=20-18

2x=2

x=1

:)

Yuki888 [10]3 years ago
4 0

2x + 18 = 20

    -18     -18

2x = 2

(Divide by 2)

x = 1

Hope this helps you!!!

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...............................
prisoha [69]

Answer:

804.2

Step-by-step explanation:

Formula
\pi r^{2}

plug in

\pi *16^{2}

≈ 804.24772

round to nearest tenth

≈ 804.2

7 0
2 years ago
Together Abel and Bob have 49 video games. Abel has 11 more video games than Bob. How many games does each person have.
DiKsa [7]

Answer:

Abel has 30

Bob has 19

Step-by-step explanation:

Abel = a

Bob = b

a + b = 49

a = b + 11

Substitute:

2b + 11 = 49

2b = 38

b = 19

a = 30

7 0
3 years ago
The sum of two integers is 9 and the sum of their squares is 53. Find the integers.
Schach [20]
X + y = 9 Subtract x from both sides.
y = 9 - x

x^2 + y^2 = 53
x^2 + (9 - x)^2 = 53 Remove the brackets.
x^2 + 81 - 18x + x^2 = 53 Collect the like terms on the left.
2x^2 - 18x + 81 = 53 Subtract 53 from both sides.
2x^2 - 18x + 81 - 53 = 0
2x^2 - 18x + 28 = 0 This factors, but you can see it much easier if you pull out 2 as a common factor.
2(x^2 - 9x + 14) = 0
2(x - 2)(x - 7) =0 You could divide by 2 on both sides. But you can also leave it.
x - 2 = 0
x =  2
x - 7 = 0
x = 7
If x = 2 then y = 7
If x = 7 then y = 2
6 0
3 years ago
The mean life of a television set is 119119 months with a standard deviation of 1414 months. If a sample of 7474 televisions is
Pepsi [2]

Answer:

0.5034 = 50.34% probability that the sample mean would differ from the true mean by less than 1.1 months

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

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.

Central limit theorem:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, the sample means with size n of at least 30 can be approximated to a normal distribution with mean

In this problem, we have that:

\mu = 119, \sigma = 14, n = 74, s = \frac{14}{\sqrt{74}} = 1.6275

What is the probability that the sample mean would differ from the true mean by less than 1.11 months?

This is the pvalue of Z when X = 119 + 1.1 = 120.1 subtracted by the pvalue of Z when X = 119 - 1.1 = 117.9. So

X = 120.1

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

By the Central Limit Theorem

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

Z = \frac{120.1 - 119}{1.6275}

Z = 0.68

Z = 0.68 has a pvalue of 0.7517

X = 117.9

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

Z = \frac{117.9 - 119}{1.6275}

Z = -0.68

Z = -0.68 has a pvalue of 0.2483

0.7517 - 0.2483 = 0.5034

0.5034 = 50.34% probability that the sample mean would differ from the true mean by less than 1.1 months

3 0
3 years ago
Randomly selected statistics students of the author participated in an experiment to test their ability to determine when 60 sec
Zanzabum

Answer:

The answer would be: We are 95% confident that the interval from 55.4 seconds to 61.2 seconds actually does contain the true value of μ.

8 0
3 years ago
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