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Minchanka [31]
3 years ago
5

What is the solution to 3x²+x+10=0

Mathematics
1 answer:
e-lub [12.9K]3 years ago
7 0

Answer:

x = - 1/6 + √-119/6, and, - 1/6 - √-119/6

Step-by-step explanation:

Using the quadratic formula which is: - b ± √b² - 4ac / 2a

a = 3, b = 1, c = 10

- 1 ± √1² -4 * 3 * 10 / 2 * 3

- 1 ± √1 - 120 / 6

-1 ± √-119 / 6

= -1/6 + √119/6,               or                  - 1/6 - √-119/6

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Plz help 20 points dont just steal points plz
ikadub [295]

Answer:

71.13

Step-by-step explanation:

The half area of a circle is A = 1/2 * pi*r^2 = 1/2 * pi * 3^2 or 9

The trapezoid is a rectangle and a triangle. Rectangle is 8*6 and the triangle is 6*(11 - 8) * 1/2

The total is 1/2 * pi * 9 + 8*6 + 6*(11 - 8) * 1/2 = 71.13

6 0
3 years ago
What is the domain of y = log Subscript 4 Baseline (x + 3)?
LekaFEV [45]

Answer:

All real numbers greater than -3

Step-by-step explanation:

The domain of a log is the baseline is greater than 0.

Set x + 3 greater than zero and solve

x + 3 > 0

x > -3

3 0
2 years ago
What is the distance between the points (-3,5) and (-3,-9) ? ​
Natasha2012 [34]

Answer:

14

Step-by-step explanation:

The distance between two points is given by

d = sqrt( (y2-y1) ^2 + (x2-x1)^2)

   = sqrt((-9-5)^2 + (-3- -3)^2)

    = sqrt(( -14)^2 +(-3+3)^2)

   = sqrt((-14)^2 +0)

  = sqrt((14)^2)

  = 14

5 0
4 years ago
it is known that the population proton of utha residnet that are members of the church of jesus christ 0l6 suppose a random samp
Lady_Fox [76]

Answer:

0.0838 = 8.38% probability of obtaining a sample proportion less than 0.5.

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 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.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

Proportion of 0.6

This means that p = 0.6

Sample of 46

This means that n = 46

Mean and standard deviation:

\mu = p = 0.6

s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.6*0.4}{46}} = 0.0722

Probability of obtaining a sample proportion less than 0.5.

p-value of Z when X = 0.5. So

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

By the Central Limit Theorem

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

Z = \frac{0.5 - 0.6}{0.0722}

Z = -1.38

Z = -1.38 has a p-value of 0.0838

0.0838 = 8.38% probability of obtaining a sample proportion less than 0.5.

8 0
3 years ago
{x | x I, x ≤ 3}<br><br> {..., 0, 1, 2, 3}<br> {4, 5, 6, 7, ...}<br> {3, 4, 5, 6, ...}
Oksanka [162]

Answer:

I'm pretty sure its...

{-1, 0, 1, 2, 3}

{4, 5, 6, 7, 8}

{3, 4, 5, 6,7 }

7 0
3 years ago
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