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2 years ago

7

Help Please!! NO LINKS AND NEED EXPLANATION!

1 answer:

ikadub [295]2 years ago

4 0

Answer:

Function 1: None of the Above

Function 2: Quadratic

Function 3: Linear

Step-by-step explanation:

Function 1: It isn't linear because the y-axis doesn't go up or down at a constant rate, it isn't quadratic because it doesn't have a vertex, and it isn't exponential because it doesn't continue going up.

Function 2: It has a vertex-(6,32)

Function 3: The y-axis goes up at a constant rate of 6.

(Oya-hopes this helps.....)

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3 years ago

Read 2 more answers

A survey recently reported that the mean national annual expenditure for inpatient and outpatient services of all persons over 6

zlopas [31]

Using the z-distribution, it is found that the p-value for this test is of 0.0375.

At the null hypothesis, it is <u>tested if the expenses are the same as the national average</u>, that is, of $5,423. Hence:

$H_0: \mu = 5423$

At the alternative hypothesis, it is <u>tested if it is higher</u>, hence:

$H_1: \mu > 5423$

We have the <u>standard deviation for the population</u>, thus, the z-distribution is used. The test statistic is given by:

$z = \frac{\overline{x} - \mu}{\frac{\sigma}{\sqrt{n}}}$

The parameters are:

$\overline{x}$ is the sample mean.
$\mu$ is the value tested at the null hypothesis.
$\sigma$ is the standard deviation of the sample.
n is the sample size.

For this problem, the values of the <u>parameters</u> are: $\overline{x} = 5516, \mu = 5423, \sigma = 979, n = 352$

The value of the <u>test statistic</u> is:

$z = \frac{\overline{x} - \mu}{\frac{\sigma}{\sqrt{n}}}$

$z = \frac{5516 - 5423}{\frac{979}{\sqrt{352}}}$

$z = 1.78$

The p-value is the probability of finding a sample mean above $5,516, which is <u>1 subtracted by the p-value of z = 1.78</u>.

Looking at the z-table, z = 1.78 has a p-value of 0.9625.

1 - 0.9625 = 0.0375

Hence, the p-value for this test is of 0.0375.

A similar problem is given at brainly.com/question/25549474

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2 years ago