Maggie's brother is 3 years younger than twice her age. the sum of their ages is 24. how old is maggie?

For every 9 customers, the chef prepares 2 loaves of bread.

ExtremeBDS [4]

Answer:

0.22

Step-by-step explanation:

2/9 = 0.22

7 0

3 years ago

I have to identify the slop and the y intercept. 3x-y=5 I have to find M and B

Maru [420]

Answer:

Slope = 3

y-intercept=(0,-5)

Step-by-step explanation:

Use the slope-intercept form y = m x + b to find the slope m and y-intercept b .

3 0

3 years ago

Read 2 more answers

Plz help. jus wanna answer :)

skad [1K]

Answer:

The measure of uT is given = 31.6

and it is given ,that WV bisect the line UT

so,the measurement of US = 31.6/2

 = 15.8 

hope it helps and your day will be full of happiness

8 0

3 years ago

TIMOROW DUE HELP NOW

Svetlanka [38]

The required percentage error when estimating the height of the building is 3.84%.

<h3>How to calculate the percent error?</h3>

Suppose the actual value and the estimated values after the measurement are obtained. Then we have:

Error = Actual value - Estimated value

Given that,

An estimate of the height, H meters, of a tall building can be found using the formula :

H = 3f + 15

where the building is f floors high.

f = 85

The real height of the building is 260 m.

H = 3f + 15

Put f = 85 in the above formula

H = 3(85) + 15

H = 270 m

Error,

$E = \dfrac{270 - 260 }{260} \times 100\\\\E = 3.84 %$

So, the required percentage error is 3.84%.

Learn more about percentage error;

brainly.com/question/20534444

#SPJ1

3 0

2 years ago

4- A manufacturing process produces items whose weights are normally distributed. It is known that 22.57% of all the items produ

galben [10]

Answer:

$\\ \mu = 118\;grams\;and\;\sigma=30\;grams$

Step-by-step explanation:

We need to use z-scores and a standard normal table to find the values that corresponds to the probabilities given, and then to solve a system of equations to find $\\ \mu\;and\;\sigma$ .

<h3>First Case: items from 100 grams to the mean</h3>

For finding probabilities that corresponds to z-scores, we are going to use here a Standard Normal Table for cumulative probabilities from the mean (Standard normal table. Cumulative from the mean (0 to Z), 2020, in Wikipedia) that is, the "probability that a statistic is between 0 (the mean) and Z".

A value of a z-score for the probability P(100<x<mean) = 22.57% = 0.2257 corresponds to a value of z-score = 0.6, that is, the value is 0.6 standard deviations from the mean. Since this value is below the mean ("the items produced weigh between 100 grams up to the mean"), then the z-score is negative.

Then

$\\ z = -0.6\;and\;z = \frac{x-\mu}{\sigma}$

$\\ -0.6 = \frac{100-\mu}{\sigma}$ (1)

<h3>Second Case: items from the mean up to 190 grams</h3>

We can apply the same procedure as before. A value of a z-score for the probability P(mean<x<190) = 49.18% = 0.4918 corresponds to a value of z-score = 2.4, which is positive since it is after the mean.

Then

$\\ z =2.4\;and\; z = \frac{x-\mu}{\sigma}$