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1 year ago

Which of the following notations correctly describe the end behavior of the polynomial graphed below?

Mathematics

1 answer:

algol131 year ago

4 0

The right answer is C

Let me to explain. From the graph we know that the vertex of this parabola is $V(0,8)$ . This is a maximum y-value. We also know that the parabola opens downward, so the leading coefficient is negative. Given that the function is even and the leading coefficient is negative, it follows that the graph falls to the left and right. In a mathematical language this is:

$x \rightarrow -\infty, f(x) \rightarrow -\infty \\ \\ x \rightarrow \infty, f(x) \rightarrow -\infty$

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Tammy decorated her art project with 12 different colors of sequins if she used 15 of each color how many sequins did tammy use

lbvjy [14]

We are given that:
Tammy used 12 different colors of sequins
Tammy used 15 sequin of each color.

Therefore, to get the total number of sequins that she used, we will multiply the number of colors by the number of sequins of each color as follows:
Total number of sequins = 12*15 = 180 sequins

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2 years ago

Question 1(Multiple Choice Worth 1 points)

kirza4 [7]

Answer:

Step-by-step explanation:

1. 8 days

2. C?

3. A

4. B

5. C

6.D

7.48

8. A

9. 1.69%

10. False

I have no clue if these are right i tried my best to get them right, if they are wrong I am incredibly sorry!

- SavageSavvy

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1 year ago

What is 1\3 (12 - 9y)

iren [92.7K]

Answer:

4-3y

Hope this helps!

3 0

1 year ago

Read 2 more answers

Tesla wanted to determine the average miles per kWh that their vehicles get across all models and variations. They took a sample

LiRa [457]

Answer:

$\mu_{\bar x} = \mu = E(X) =30KWh$

$\sigma_{\bar X}= \frac{\sigma}{\sqrt{n}}=\frac{3}{\sqrt{100}}=0.3$

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".

The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".

Solution to the problem

For this case we select a sample of n =100

From the central limit theorem we know that the distribution for the sample mean $\bar X$ is given by:

$\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})$

So then the sample mean would be:

$\mu_{\bar x} = \mu = E(X) =30KWh$

And the standard deviation would be:

$\sigma_{\bar X}= \frac{\sigma}{\sqrt{n}}=\frac{3}{\sqrt{100}}=0.3$

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1 year ago

Which of the following is NOT true when testing a claim about a proportion? Choose the correct answer below. A. Both the tradit

morpeh [17]

Answer: C. A conclusion based on a confidence interval estimate will be the same as a conclusion based on a hypothesis test.

Explanation: The One-Sample Proportion Test is used to assess whether a population proportion (P1) is significantly different from a hypothesized value (P0). This procedure calculates sample size and statistical power for testing a single proportion using either the exact test or other approximate z-tests.

To write a null hypothesis, first, start by asking a question. Rephrase that question in a form that assumes no relationship between the variables. In other words, assume a treatment has no effect. Write your hypothesis in a way that reflects this.

A null hypothesis is a hypothesis that says there is no statistical significance between the two variables. It is usually the hypothesis a researcher or experimenter will try to disprove or discredit. An alternative hypothesis is one that states there is a statistically significant relationship between two variables.

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1 year ago