I hate math and I have no idea what the answer is

timama [110]

Hi there!

The question gives us the quadratic equation , and it tells us to solve it using the quadratic formula, which goes as . However, we must first find the values of a, b, and c. The official quadratic equation goes as , which matches the format of the given quadratic equation. Hence, the value of a would be 1, the value of b would be 5, and the value of c would be 3. Now, just plug it back into the quadratic equation and simplify to get the zeros of the equation.

x = \frac{-b \pm \sqrt{b^2 - 4ac} }{2a}

x = \frac{-(5) \pm \sqrt{(5)^2 - 4(1)(3)} }{2(1)}

x = \frac{-5 \pm \sqrt{25 - 12} }{2}

x = \frac{-5 \pm \sqrt{13} }{2}

x = \frac{-5 \pm 3.61 }{2}

x = \frac{-5 + 3.61 }{2}, x = \frac{-5 - 3.61 }{2}

x=-0.695 \ \textgreater \ \ \textgreater \ -0.7, x= -4.305 \ \textgreater \ \ \textgreater \ x=-4.31

Therefore, the solutions to the quadratic equation are x = -0.7 and x = -4.31. Hope this helped and have a phenomenal day!

Your answer is 4.31

4 0

3 years ago

A log-level model relating the natural logarithm of house price, y, to square footage was fit. The fitted model is stack ln (p r

Musya8 [376]

Answer:

$255,331

Step-by-step explanation:

Calculation for the estimated price

ln (price) =11.65 +0.000473*square foot

Square feet =1,692

First step is to find the ln (price)

ln (price) =11.65 +0.000473*1,692

ln (price)=12.450316

Last step is to calculate the Estimated price by using calculator to find the exponential of 12.450316

Estimated price=e^(12.450316)

Estimated price=$255,330.99

Estimated price=$255,331 Approximately

Therefore the estimated price of a house that is 1,692 square feet will be $255,331

7 0

3 years ago

.Choose the equation that represents the line that passes through the point (−1, 6) and has a slope of −3.

leonid [27]

Y=-3+3 answer do I need to explain?

5 0

2 years ago

Consider the question of whether the home team wins more than half of its games in the National Basketball Association. Suppose

spayn [35]

Answer:

0.0037 = 0.37% probability that the home team would win 65% or more of its games in a simple random sample of 80 games

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 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 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 $s = \sqrt{\frac{p(1-p)}{n}}$