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kkurt [141]
3 years ago
11

HELPPP MEEE PLS DUE RN

Mathematics
2 answers:
IRISSAK [1]3 years ago
8 0
The answer to the question is A
Rudiy273 years ago
5 0
The Answer is A because 4x4=16-6=10
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Please help me! I am really struggling with this...
Alexeev081 [22]

Answer:

44°

Step-by-step explanation:

The secant- secant angle y is half the difference of the measure of its intercepted arcs, that is

\frac{1}{2}(BHF - CGJ ) = y , that is

\frac{1}{2}(156 - CGH) = 56° ( multiply both sides by 2 )

156 - CGH = 112° , thus

CGH = 156° - 112° = 44°

4 0
4 years ago
A collectible car has been going up in price by 10% each year. if the car is already worth $29,000, how much will the car be
sammy [17]

The worth of the collectible car in five years if its value is going up by 10% every year would be $46,704.79

<h3>What is the worth of the car?</h3>

If the value of the  collectible car is increasing with time, it is said that the  collectible car is appreciating in value.

The formula for calculating future value with appreciation:

FV = P (1 + r)^n

  • FV = Future value
  • P = Present value
  • R = interest rate
  • N = number of years

$29,000(1.1^5) = $46,704.79

To learn more about future value, please check: brainly.com/question/18760477

3 0
2 years ago
A sample of 900900 computer chips revealed that 49%49% of the chips do not fail in the first 10001000 hours of their use. The co
dedylja [7]

Answer:

The proportion of chips that do not fail in the first 1000 hours of their use is 52%.

Step-by-step explanation:

The claim made by the company is that 52% of the chips do not fail in the first 1000 hours of their use.

A quality control manager wants to test the claim.

A one-proportion <em>z</em>-test can be used to determine whether the proportion of chips do not fail in the first 1000 hours of their use is 52% or not.

The hypothesis can be defined as:

<em>H₀</em>: The proportion of chips do not fail in the first 1000 hours of their use is 52%, i.e. <em>p</em> = 0.52.

<em>Hₐ</em>: The proportion of chips do not fail in the first 1000 hours of their use is different from 52%, i.e. <em>p</em> ≠ 0.52.

The information provided is:

\hat p=0.49\\n=900\\\alpha =0.02

The test statistic value is:

z=\frac{\hat p-p}{\sqrt{\frac{p(1-p)}{n}}}=\frac{0.49-0.52}{\sqrt{\frac{0.52(1-0.52)}{900}}}=-1.80

The test statistic value is -1.80.

Decision rule:

If the <em>p-</em>value of the test is less than the significance level then the null hypothesis will be rejected and vice-versa.

Compute the <em>p</em>-value as follows:

p-value=2\times P(Z

*Use a <em>z</em>-table.

The <em>p</em>-value = 0.07186 > <em>α</em> = 0.02.

The null hypothesis was failed to be rejected at 2% level of significance.

<u>Conclusion</u>:

The proportion of chips that do not fail in the first 1000 hours of their use is 52%.

8 0
3 years ago
The first quartile of a data set is 72, and the third quartile is 92. Which of these values in the data set is an outlier ?
konstantin123 [22]

Answer: Option D

D. 41​

Step-by-step explanation:

A value x_i is considered an outlier if

x_i> Q_3 + 1.5IQR

or

x_i

Where

Q_3 is the third quartile

Q_1 is the first quartile

IQR is the interquartile range.

IQR = Q_3-Q_1

In this case:

Q_3=92\\Q_1=72

So

IQR = 92-72 =20

Q_3 + 1.5IQR = 92 + 1.5*20 = 122

Q_1 - 1.5IQR=72-1.5*20=42

Then the outlier values will be all those greater than 122 or less than 42

Therefore the answer is the option D.

8 0
3 years ago
A 30 -60 -90 triangle has a hypothesos with a leanght of 10
algol13

5 \sqrt{3}
This is the longer leg of this triangle
3 0
4 years ago
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