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3 years ago

How do I solve this? It's so confusing.

Mathematics

1 answer:

Neporo4naja [7]3 years ago

5 0

If I follow the angle degrees that they gave, your answers would be as follows:
I=145°
S=155° or 90°
E=78°
L=120° or 55°

Maybe this is right, sorry it took so long.

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Taisha works a part-time job while taking evening classes at her local community at her local community college. She sets up a p

Mrrafil [7]

Step-by-step explanation:

Taisha is losing money. Exactly how much can be found in this equation.

12 months in a year so that's our coefficient.

292.36(12) - 320.67(12)=−339.72

(pay per month) (school fee per month)

She is 339.72 dollars in debt.

7 0

3 years ago

(25 points & Brainliest, please explain)

My name is Ann [436]

Answer:

Quadratic expression

Step-by-step explanation:

5x + 3x^2 − 7

Degree of expression = 2

So it is Quadratic expression

6 0

3 years ago

Read 2 more answers

What is the value of x in the equation 25x2 = 16?

valentina_108 [34]

25x2 = 16
x^2 = 16/25
x^2 = 4^2/5^2
x = 4/5

7 0

3 years ago

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PLZ HELP ASAP The scale factor of ____ was applied to the first triangle

pashok25 [27]

The scale factor of 4 was applied to the first triangle. 6 was divided by 4 to get 1.5

5 0

3 years ago

Assume that a sample is used to estimate a population proportion μ . Find the margin of error M.E. that corresponds to a sample

hichkok12 [17]

Answer:

$MoE = 1.645\cdot \frac{13.1}{\sqrt{772} } \\\\MoE = 1.645\cdot 0.47147\\\\MoE = 0.776\\\\$

Step-by-step explanation:

Since the sample size is quite large, we can use the z-distribution.

The margin of error is given by

$MoE = z_{\alpha/2}(\frac{s}{\sqrt{n} } )$

Where n is the sample size, s is the sample standard deviation and $z_{\alpha/2}$ is the z-score corresponding to a 90% confidence level.

The z-score corresponding to a 90% confidence level is

Significance level = α = 1 - 0.90= 0.10/2 = 0.05

From the z-table at α = 0.05

z-score = 1.645

$MoE = 1.645\cdot \frac{13.1}{\sqrt{772} } \\\\MoE = 1.645\cdot 0.47147\\\\MoE = 0.776\\\\$

Therefore, the margin of error is 0.776.

3 0

3 years ago