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Drupady [299]
3 years ago
12

A building company bids on two large projects. The CEO believes the chance of winning the 1st is 0.6, the chance of winning the

2nd is 0.5, and the chance of winning both is 0.3. What is the chance of winning at least one of the jobs?
Mathematics
1 answer:
Ksju [112]3 years ago
4 0

Answer:

0.8

Step-by-step explanation:

A: P(1) = .6, P(2) = .5, P(1 and 2) = .3

P(1 or 2) = P(1) + P(2) - P(1 and 2) .6 + .5 - .3 = 0.8

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Which of the following expressions is equal to -12 ?
Ierofanga [76]

Answer:

c. 5 - 17

Step-by-step explanation:

a. -15 - 3 = -18

b. -3 - (-9) = 6

c. 5 - 17 = -12

d. -6 - (-6) = 0

6 0
3 years ago
Read 2 more answers
Given that lines a and b are parallel, what angles formed on line b when cut by the transversal are congruent with ∠2?
Kruka [31]

Answer:

The angles formed on line b when cut by the transversal are congruent with ∠2 are \angle{6}\text{ and }\angle{7}

Step-by-step explanation:

Consider the provided information.

If transversal line crossed by two parallel lines, then, the corresponding angles and alternate angles are equal .

The angles on the same corners are called corresponding angle.

Alternate Angles:  Angles that are in opposite positions relative to a transversal intersecting two lines.

∠2 and ∠6 are corresponding angles

Therefore, ∠2 = ∠6

∠2 and ∠7 are alternate exterior angles

Therefore, ∠2 = ∠7

Hence, the angles formed on line b when cut by the transversal are congruent with ∠2 are \angle{6}\text{ and }\angle{7}

3 0
3 years ago
What would be the reasonable estimate for value of m 31+m=307
abruzzese [7]
M= 276 31+276=307.
307-31=276 that’s how I found M
8 0
3 years ago
Read 2 more answers
. The estimate regression equation for a model involving two independent variables and 10 observations follows.y = 29.1270 + 0.5
beks73 [17]

Answer:

b) y = 289.815 when x_1 = 180 \text{ and } x_2 = 310

Step-by-step explanation:

We are given the following information in the question:

y = 29.1270 + 0.5906x_1 + 0.4980x_2

where y is the dependent variable,

x_1, x_2 are the independent variable.

The multiple regression equation is of the form:

y = b_0 + b_1x_1 + b_2x_2

where,

b_0: is the intercept of the equation and is the value of dependent variable when all the independent variable are zero.

b_1: It is the slope coefficient of the independent variable x_1.

b_2: It is the slope coefficient of the independent variable x_2.

  • The regression coefficient in multiple regression is the slope of the linear relationship between the dependent and the part of a predictor variable that is independent of all other predictor variables.

Comparing the equations, we get:

b_1 = 0.5906\\b_2 = 0.4980

  • This means holding x_2 constant, a change of one in x_1 is associated with a change of 0.5906 in the dependent variable.
  • This means holding x_1 constant, a change of 1 in x_2 is associated with a change of 0.4980 in the dependent variable.

b) We have to estimate the value of y

y = 29.1270 + 0.5906(180) + 0.4980(310) = 289.815

3 0
3 years ago
he data shows the distances, in miles, run by runners in a track club. 6, 3, 8, 8, 6, 6, 8, 2, 5, 2, 5, 10, 3, 5 Create a histog
kakasveta [241]

Answer:

To create a histogram of the given data set, we first must check for the frequency of each value.

6, 3, 8, 8, 6, 6, 8, 2, 5, 2, 5, 10, 3, 5

2 - 2

3 - 2

5 - 3

6 - 3

8 - 3

10 - 1

Now that we have the frequencies of each, we need to add them to each range.

0 - 2 : 2

3 - 5 : 5

6 - 8 : 6

9 - 11 : 1

Refer to the image for the histogram.

4 0
3 years ago
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