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zloy xaker [14]
3 years ago
11

Question 1&2 with explanation. Pls fast , no useless and nonsense answers pls

Mathematics
1 answer:
Pavlova-9 [17]3 years ago
8 0

Answer: #1 - A. 210m, #2 - B. 21,39

  1. First, find the width by using the equation 2450 = 2x * x. Multiply the like terms, which results in 2450 = 2x^2. Now, divide both sides by 2, which is 1225 = x^2. The square root of 1225 is 35. Now, to find the perimeter, the equation should be P = 2(70+35). 40 + 35 = 105, and 105*2 = 210. Therefore, the perimeter is A. 210 m
  2. Number 2 is asking what number added by x would result in a perfect square. The first numbers in each of the options for the question so see which one creates a perfect square after it is added to 1500.
  • √ 1500 + 56 = 2 √ 389
  • √ 1500 + 21 =  39
  • √ 1500 + 38 = √ 1538
  • √ 1500 + 39 = 9 √ 19    
  • B. 21, 39 would be the correct answer because it is the only perfect square.
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vovangra [49]

Answer:

No, because 2^3 × 3^2 is equivalent to 72 which is a much smaller number than 6^5 which is equal to 7,776.

Step-by-step explanation:

2^3 × 3^2 = 6^5 ??

Use PEMDAS:

(2 × 2 × 2) × (3 × 3) = 6 × 6 × 6 × 6 × 6

(4 × 2) × 9 = 36 × 6 × 6 × 6

8 × 9 = 216 × 6 × 6

72 = 1,296 × 6

72 = 7,776

7 0
3 years ago
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Write 493 using Roman numerals​
AfilCa [17]

Answer:

CDXCIII

Step-by-step explanation:

Breaking it Down:

400 - CD

90 - XC

3 - III

How it adds up:

493 = CDXCIII = 500 − 100 + 100 − 10 + 1 + 1 + 1

Hope this helps you.

7 0
3 years ago
2x^2 + 15x - 108 = 0
Yuki888 [10]
Well the answer if it was for X would be:
1<span><span>x = -12  </span><span> <span>
2 x = 9/2 = 4.500</span></span></span>
7 0
3 years ago
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Question Help
11111nata11111 [884]

Answer:

The null hypothesis is H_0: p \geq 0.2

The alternative hypothesis is H_1: p < 0.2

The p-value of the test is of 0.0154 > 0.01, which means that at the 0.01 significance level, there is not significant evidence that the return rate is less than 20%.

Step-by-step explanation:

Test the claim that the return rate is less than 20%.

At the null hypothesis, we test if the return rate is of at least 20%, that is:

H_0: p \geq 0.2

At the alternative hypothesis, we test if the return rate is less than 20%, that is:

H_1: p < 0.2

Normal distribution as an approximation to the binomial distribution to find the Z-score.

Binomial probability distribution

Probability of exactly x successes 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 normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, 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)}.

0.2 is tested at the null hypothesis. Sample of 6957.

This means that p = 0.2, n = 6957. So

\mu = E(X) = np = 6957*0.2 = 1391.4

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{6957*0.2*0.8} = 33.36

1319 surveys returned

This means that, due to continuity correction, X = 1319 + 0.5 = 1319.5. So

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

Z = \frac{1319.5 - 1391.4}{33.36}

Z = -2.16

P-value of the test:

The p-value of the test is the probability of 1319 or less people returning the survey, which is the p-value of Z = -2.16.

Looking at the z-table, Z = -2.16 has a p-value of 0.0154.

The p-value of the test is of 0.0154 > 0.01, which means that at the 0.01 significance level, there is not significant evidence that the return rate is less than 20%.

7 0
3 years ago
The length of a rectangle is 7.8 cm more than 4 times the width. If the perimeter of the rectangle is 94.6 cm, what
Lyrx [107]

Answer:

C, Length = 39.4 cm; width = 7.9 cm

Step-by-step explanation:

The permimeter of a rectangle is 2 times the width + 2 times the length or 2(l + w)

The length is 4 times w plus 7.8.

So:  2w+2(4w+7.8)=94.6

=  2w+8w+15.6=94.6  (Factor out the brackets)

=  10w+15.6=94.6  (Combine like terms)

=  10w=79  (Subtract 15.6 from both sides)

=  w=7.9  (Divide both by 10).

So, the width is 7.9 cm and the length is 39.4 cm (4 * 7.9 + 7.8)

6 0
3 years ago
Read 2 more answers
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