Zack plans to borrow $7,300 to buy a car.

Mathematics

1 answer:

Neko [114]2 years ago

4 0

I believe the second one, double check

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Plz help me I have no idea how to do this plz help!

Vika [28.1K]

You need to multiply the amount by the tax

8 0

3 years ago

A kite is flying 20 ft off the ground. Its line is pulled taut and casts a 15 ft - shadow. Find the length of the line. If neces

Kryger [21]

Answer:

The answer to your question is 25 ft

Step-by-step explanation:

Data

height = 20 ft

leg = 15 ft

length of the line = ?

To solve this problem use the Pythagorean theorem.

Height = short leg = b

leg = long leg = a

length of the line = hypotenuse = c

- Substitution

c² = (20)² + (15)²

-Simplification

c² = 400 + 225

c² = 625

-Result

c = $\sqrt{625}$

c = 25 ft

6 0

2 years ago

What is m∠A ?<br> Please see attachment <br> (The Triangle Sum Theorem)

goblinko [34]

The triangle sum theorem says all 3 interior angles must equal 180 degrees.

so, 43 + 35 = 78. [ 180 - 78 = 102 degrees for the missing angles shared by the 2 triangles.

102 + 18 = 120. [180 - 120 = 60}

leaving the measure of Angle A as 60 degrees.

5 0

3 years ago

Read 2 more answers

A study of 35 golfers showed that their average score on a particular course was 92. The sample standard deviation was 5. We wan

svlad2 [7]

Answer:

$t_{\alpha/2} = t_{0.05/2} = t_{0.025} = 2.0322$

Step-by-step explanation:

We have a sample of size n = 35, $\bar{x} = 92$ and $s = 5$ . As we want to construct a 95% confidence interval to estimate the value of the true population mean $\mu$ , we should use the pivotal quantity given by $T = \frac{\bar{X}-\mu}{S/\sqrt{n}}$ which comes from the t distribution with n - 1 = 35 - 1 = 34 degrees of freedom. Besides we should use the t-value $t_{\alpha/2} = t_{0.05/2} = t_{0.025} = 2.0322$ , i.e., regarding the t-distribution with 34 degrees of freedom, we have an area of 0.025 above 2.0322 and below the probability density function. The rationale behind this is that $P(-2.0322\leq T\leq 2.0322) = 0.95$ because of the simmetry of the t distribution.