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Inga [223]
3 years ago
13

A bag contains 6 red marbles, 2 blue marbles, and 1 green marble. What is the

Mathematics
1 answer:
SSSSS [86.1K]3 years ago
6 0

We have 1 green and 8 non-green.  

We get a probability of 8/9 of a non-green for the first marble and a probably of 7/8 for the second being non green, so

p = (8/9)*(7/8) = 7/9

Answer: 7/9

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Please help really I need it thank you :)
tamaranim1 [39]

Answer:

44, 6, and 24 are not perfect square

Step-by-step explanation:

Perfect square are numbers that can be square rooted with a result of a perfect whole number.

√16=4

√44= 6.63324...

√81= 9

√6= 2.44948...

√49= 7

√24= 4.898997...

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2 years ago
It took 4 hours for Nancy
Ghella [55]

Answer:

for what lol

Step-by-step explanation:

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2 years ago
What is the beat estimate of 11 1/5 ÷ 2 2/3​
Alex Ar [27]

Answer:

11 1/5 ÷ 2 2/3= 4.2

Step-by-step explanation:

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3 years ago
The difference between the observed value of the dependent variable and the value predicted using the estimated regression equat
Elenna [48]

Answer:

For this case we define the dependent variable as Y and the independent variable X. We assume that we have n observations and that means the following pairs:

(x_1, y_1) ,....,(x_n,y_n)

For this case we assume that we want to find a linear regression model given by:

\hat y = \hat m x +\hat b

Where:

\hat m represent the estimated slope for the model

\hat b represent the estimated intercept for the model

And for any estimation of the dependent variable \hat y_i , i=1,...,n is given by this model.

The difference between the observed value of the dependnet variable and the value predicted using the estimated regression equation is known as residual, and the residual is given by this formula:

e_i = y_i -\hat y_i , i=1,...,n

So the best option for this case is:

d. residual

Step-by-step explanation:

For this case we define the dependent variable as Y and the independent variable X. We assume that we have n observations and that means the following pairs:

(x_1, y_1) ,....,(x_n,y_n)

For this case we assume that we want to find a linear regression model given by:

\hat y = \hat m x +\hat b

Where:

\hat m represent the estimated slope for the model

\hat b represent the estimated intercept for the model

And for any estimation of the dependent variable \hat y_i , i=1,...,n is given by this model.

The difference between the observed value of the dependnet variable and the value predicted using the estimated regression equation is known as residual, and the residual is given by this formula:

e_i = y_i -\hat y_i , i=1,...,n

So the best option for this case is:

d. residual

7 0
3 years ago
Karin wants to use the distributive property to mentally find the value of 19⋅42+19⋅58. Which expression can she use?
devlian [24]

Answer:

19( 42+ 58)

Step-by-step explanation:

19 \cdot 42+19 \cdot 58\\

The common factor is 19

19( 42+ 58)

3 0
3 years ago
Read 2 more answers
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