Select the correct answer.

As a student, you are able to earn extra money by assisting your neighbors with odd jobs. If you charged $10.25 an hour for your

olga nikolaevna [1]

Answer:

821.95

Step-by-step explanation:

5 0

2 years ago

PLZ HELP MEE!!!!!!!!!!

snow_tiger [21]

Answer:

y=7(x-5)+3

Step-by-step explanation:

4 0

3 years ago

Read 2 more answers

Find the distance between the points (-1,-7) and (8,-9). The answer must be a whole number or a fully simplified radical express

ruslelena [56]

Answer:

The answer is

<h2> $\sqrt{85} \: \: \: units$ </h2>

Step-by-step explanation:

The distance between two points can be found by using the formula

$d = \sqrt{ ({x1 - x2})^{2} + ({y1 - y2})^{2} } \\$

where

(x1 , y1) and (x2 , y2) are the points

From the question the points are

(-1,-7) and (8,-9)

The distance between them is

$d = \sqrt{( { - 1 - 8})^{2} + ({ - 7 + 9})^{2} } \\ = \sqrt{ ({ - 9})^{2} + {2}^{2} } \\ = \sqrt{81 + 4}$

We have the final answer as

$\sqrt{85} \: \: \: units$

Hope this helps you

3 0

3 years ago

An advertisement for a circular rug says that the rug has a diameter of 6 feet. Find the relative error of this measurement

Aleonysh [2.5K]

Answer:

1. 8.3%

Step-by-step explanation:

Relative error = absolute error/expected measurement

The expected measurement is given as 6 ft.

Now, the absolute error is usually equal to half of a unit of the measure.

This means the absolute error in this case is ½ × 1 = 0.5 ft

Thus, the exact measurement will be;

6 ± 0.5

Thus;

Relative error = 0.5/6

Relative error = 0.083

Expressing it in percentage gives 8.3%

4 0

2 years ago

g Annual starting salaries in a certain region of the U. S. for college graduates with an engineering major are normally distrib

algol13

Answer:

The probability that the sample mean would be at least $39000 is of 0.8665 = 86.65%.

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 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 $s = \frac{\sigma}{\sqrt{n}}$ .