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Liono4ka [1.6K]
3 years ago
5

Add -4 + (-15). -11 19 -19 11

Mathematics
1 answer:
chubhunter [2.5K]3 years ago
8 0

Step-by-step explanation:

-4+(-15)

=(-19)

I think it helps you

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1. The county fair charges $1.50 per ticket for the rides. Jermaine bought 20 tickets for the rides and spent a
makvit [3.9K]

Cost per ticket for the rides = $1.50.

a) Let us assume the number of ride tickets = x.

Total cost of x number of rides = y.

Total amount spent = $48.75.

Amount spent on 20 tickets = 20 × 1.50 = $30

<em>Fair admission charge = Total amount spent - Amount spent on 20 tickets</em>

<em> =  $48.75 - $30 = $18.75.</em>

Let us apply slope-intercept form y=mx+b to get the equation.

Total cost of x number of tickets at the rate $1.50 each ticket = 1.50x.

To<em>tal cost of fair = Total cost of x number of tickets + Fair admission charge.</em>

<h3>b) y = 1.50x + 18.75.</h3>

4 0
3 years ago
The area of a triangle is 16 units square. The length is twice the height. Find the height
Norma-Jean [14]

The formula for area of a triangle is 1/2 x base x height.

Let the height = x

Then the base (length) = 2x ( twice the height)

You know have 16 = 1/2 * 2x * x

Multiply both sides by 2 to remove the 1/2:

32 = 2x * x

Simplify the right side:

32 = 2x^2

Divide both sides by 2:

16 = x^2

Take the square root of both sides:

X = 4

The height is 4 units and the length is 8 Units

8 0
3 years ago
The following probability distributions of job satisfaction scores for a sample of information systems (IS) senior executives an
shutvik [7]

Answer:

Kindly see explanation

Step-by-step explanation:

Given the data:

JOB satisfaction (x) : 1, 2, 3, 4, 5

IS Senior ; p(x) : 0.05, 0.09, 0.03, 0.42, 0.41

IS Middle ; p(x) : 0.04, 0.10, 0.12, 0.46, 0.28

Expected value of job satisfaction for senior executives :

E(x) = Σp(x) * x = [(1*0.05) + (2*0.09) + (3*0.03) + (4*0.42) + (5*0.41)]

= 4.05

B) Σp(x) * x = [(1*0.04) + (2*0.10) + (3*0.12) + (4*0.46) + (5*0.28)]

= 3.84

C.) Job variance for executives:

Σ(x - E(x))² * p(x) :

((1 - 4.05)^2 * 0.05) + ((2 - 4.05)^2 * 0.09) + ((3 - 4.05)^2 * 0.03) + ((4 - 4.05)^2 * 0.42) + ((5 - 4.05)^2 * 0.41)

= 1.2475 = 1.25 ( using calculator)

job variance for middle managers :

Σ(x - E(x))² * p(x) :

((1 - 3.84)^2 * 0.04) + ((2 - 3.84)^2 * 0.10) + ((3 - 3.84)^2 * 0.12) + ((4 - 3.84)^2 * 0.46) + ((5 - 3.84)^2 * 0.28)

= 1.1344 = 1.13 (using calculator)

Standard deviation(sd) for (senior managers) :

sd = √variance

sd = √1.25 = 1.118 = 1.12

Standard deviation(sd) for (middle managers) :

sd = √variance

sd = √1.13 = 1.063 = 1.06

The expected value (mean) for senior executives (4.05) is slightly higher Than obtained for middle managers (3.84). Similarly the measure of Variation in job satisfaction ; standard deviation and variance is also higher for senior managers than in middle managers.

6 0
3 years ago
Explain how knowing that 5/8=.625 helps you write the decimal for 4 5/8
Paul [167]
Because since we know that 5/8 = .625, instead of saying 4 5/8, we would just say 4.625
4 0
3 years ago
{[(8-3) X2] [(5X6) -5]} x5
sladkih [1.3K]
8-3*2=10 
5*6-5=25
5
10*25*5=1250
3 0
3 years ago
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