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3 years ago

Whats the estimated answer for 3,178 + 1,452 ? Thank you!

Mathematics

2 answers:

Elenna [48]3 years ago

6 0

3,178+1,452≈4,600
hope this helped

yanalaym [24]3 years ago

4 0

Answer:

4,360

Step-by-step explanation:

3,178

1,452

4,360

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(08.06)The following data show the weight, in ounces, of 10 different bags of candy: 10 3 7 3 4 21 6 10 1 2 4 After removing the

hoa [83]

Answer:

B) is correct; on average, each bag of candy has a weight that is 2.6 oz different than the mean weight of 5 oz.

To find the mean absolute deviation, we first find the mean. Find the sum of the data points and divide by the number of data points (without the outlier, 21, in it):

(10+3+7+3+4+6+10+1+2+4)/10 = 50/10 = 5

Now we find the difference between each data point and the mean, take its absolute value, and find their sum:

|10-5|+|3-5|+|7-5|+|3-5|+|4-5|+|6-5|+|10-5|+|1-5|+|2-5|+|4-5| =

5+2+2+2+1+1+5+4+3+1 = 26

We now divide this by the number of data points:

26/10 = 2.6

This is a measure of how much each bag of candy varies from the mean.

4 0

3 years ago

Read 2 more answers

Find the value of x in each figure <br><br>

Ronch [10]

Answer:

X is 50

Step-by-step explanation:

3 0

3 years ago

PLS HELP SHOW ALL YOUR WORKING OUT :D <br> BRAINLIEST

vazorg [7]

Answer:

18.1 cm

Step-by-step explanation:

Work out CD

$\sqrt{16^{2}-7^{2} } = 14.38749457$ ⇒ Pythagoras Theorem

Use CD and AD to work out AC

$\sqrt{14.38749457^{2}+11^{2} } = 18.11077028$ ⇒ Pythagoras Theorem

6 0

3 years ago

PLZ HELP i will give my last 10 points

DerKrebs [107]

Answer:

1=5

2=1

3= 4

4=3

5=6

6=5

Step-by-step explanation:

8 0

3 years ago

Anna set up a lemonade stand on her block over the summer. She recorded each day’s high temperature and the number of cups of le

Alexxx [7]

Answer:

Residual = -2

The negative residual value indicates that the data point lies below the regression line.

Step-by-step explanation:

We are given a linear regression model that relates daily high temperature, in degrees Fahrenheit and number of lemonade cups sold.

$y = -34+ \frac{3}{5} x$

Where y is the number of cups sold and x is the daily temperature in Fahrenheit.

Residual value:

A residual value basically shows the position of a data point with respect to the regression line.

A residual value of 0 is desired which means that the regression line best fits the data.

The Residual value is calculated by

Residual = Observed value - Predicted value

The predicted value of number of lemonade cups is obtained as

$y = -34+ \frac{3}{5} (95)\\\\y = -34+ 3 (19)\\\\y = -34+ 57\\\\y = 23$

So the predicted value of number of lemonade cups is 23 and the observed value is 21 so the residual value is

Residual = Observed value - Predicted value

Residual = 21 - 23

Residual = -2

The negative residual value indicates that the data point lies below the regression line.

7 0

3 years ago