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3 years ago

1. Select an angle OTHER THAN the right angle in the diagram and WRITE that angle.

Mathematics

2 answers:

horsena [70]3 years ago

8 0

Answer:

see below

Step-by-step explanation:

Sin X = opp side/ hypotenuse

= 28/35

=4/5

Travka [436]3 years ago

5 0

Answer:

1) using angle Z

2) sin(Z) = opposite/hypotenuse

sin(Z) = 21/35 = 3/5

3) cos(X) = adjacent/hypotenuse

cos(X) = 21/35 = 3/5

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If you know any of these could yoy hep me out :D

Mekhanik [1.2K]

7. X=5
8. X=6
9. B=-3
10. G=3.4

5 0

2 years ago

A light bulb in Maya's house uses 9.4 watts of electric power each minute it is on. If the light bulb used a total of 6.58 watts

tamaranim1 [39]

Answer:

0.7 minute

Step-by-step explanation:

Given that each (1) minute a light use 9.4 watts.

So If the light bulb used a total of 6.58 watts, the minutes was on it is:

$\frac{The total watts used}{The watts used each minute}$

= $\frac{6.58}{9.4}$

= 0.7 minute

So the the minutes was on it is 0.7

Hope it will find you well!

4 0

3 years ago

set up and solve an equation for the following scenario in a food processing facility there is a large vat that must be filled h

PilotLPTM [1.2K]

it will take 314 minutes ro fill the vat halfway

5 0

3 years ago

Moe borrowed $700 for 18 months at 8% simple interest.

Damm [24]

Answer:

A-1008

B-1708

Step-by-step explanation:

8% of 700= 56

56x18=1008

700+1008=1708

5 0

2 years ago

Read 2 more answers

medical tests. Task Compute the requested probabilities using the contingency table. A group of 7500 individuals take part in a

uysha [10]

Probabilities are used to determine the chances of an event

The probability that a person is sick is: 0.008
The probability that a test is positive, given that the person is sick is 0.9833
The probability that a test is negative, given that the person is not sick is: 0.9899
The probability that a person is sick, given that the test is positive is: 0.4403
The probability that a person is not sick, given that the test is negative is: 0.9998
A 99% accurate test is a correct test

(a) Probability that a person is sick

From the table, we have:

$\mathbf{Sick = 59+1 = 60}$

So, the probability that a person is sick is:

$\mathbf{Pr = \frac{Sick}{Total}}$

This gives

$\mathbf{Pr = \frac{60}{7500}}$

$\mathbf{Pr = 0.008}$

The probability that a person is sick is: 0.008

(b) Probability that a test is positive, given that the person is sick

From the table, we have:

$\mathbf{Positive\ and\ Sick=59}$

So, the probability that a test is positive, given that the person is sick is:

$\mathbf{Pr = \frac{Positive\ and\ Sick}{Sick}}$

This gives

$\mathbf{Pr = \frac{59}{60}}$

$\mathbf{Pr = 0.9833}$

The probability that a test is positive, given that the person is sick is 0.9833

(c) Probability that a test is negative, given that the person is not sick

From the table, we have:

$\mathbf{Negative\ and\ Not\ Sick=7365}$

$\mathbf{Not\ Sick = 75 + 7365 = 7440}$

So, the probability that a test is negative, given that the person is not sick is:

$\mathbf{Pr = \frac{Negative\ and\ Not\ Sick}{Not\ Sick}}$

This gives

$\mathbf{Pr = \frac{7365}{7440}}$

$\mathbf{Pr = 0.9899}$

The probability that a test is negative, given that the person is not sick is: 0.9899

(d) Probability that a person is sick, given that the test is positive

From the table, we have:

$\mathbf{Positive\ and\ Sick=59}$

$\mathbf{Positive=59 + 75 = 134}$

So, the probability that a person is sick, given that the test is positive is:

$\mathbf{Pr = \frac{Positive\ and\ Sick}{Positive}}$

This gives

$\mathbf{Pr = \frac{59}{134}}$

$\mathbf{Pr = 0.4403}$

The probability that a person is sick, given that the test is positive is: 0.4403

(e) Probability that a person is not sick, given that the test is negative

From the table, we have:

$\mathbf{Negative\ and\ Not\ Sick=7365}$

$\mathbf{Negative = 1+ 7365 = 7366}$

So, the probability that a person is not sick, given that the test is negative is:

$\mathbf{Pr = \frac{Negative\ and\ Not\ Sick}{Negative}}$

This gives

$\mathbf{Pr = \frac{7365}{7366}}$

$\mathbf{Pr = 0.9998}$

The probability that a person is not sick, given that the test is negative is: 0.9998

(f) When a test is 99% accurate

The accuracy of test is the measure of its sensitivity, prevalence and specificity.

So, when a test is said to be 99% accurate, it means that the test is correct, and the result is usable; irrespective of whether the result is positive or negative.