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DerKrebs [107]
3 years ago
5

Is square root 1-cos^2 ø= -sin ø if so in which quadrant does angle O terminate

Mathematics
1 answer:
lapo4ka [179]3 years ago
6 0

The Trigonometric Pythagorean Theorem is always true:

\cos^2 \theta + \sin ^2 \theta = 1

If we solve for \sin \theta we get

\sin ^2 \theta = 1 - \cos^2 \theta

We know

0 \le \cos ^2 \theta \le 1

0 \le \sin ^2 \theta \le 1

so both sides are clearly between zero and one.

It's actually much better to do geometry using squared sine, but that's a topic for another day. It comes from replacing angle, a complicated directed meeting of two rays, with the intersection of two lines. Among many advantages, this eliminates quadrants.

But we know sine and cosine can be positive or negative. So we need the multivalued square root:

\sin \theta =\pm \sqrt{  1 - \cos^2 \theta}

The \pm means that it might be plus, it might be minus, if you just tell me the cosine there's not (usually) enough information to know which.

So yes, sometimes

\sin \theta = - \sqrt{ 1- \cos^2 \theta}

That's a negative sine. If the cosine is positive, \theta is in the fourth quadrant. If the cosine is negative, \theta is in the third quadrant.

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The principal of a large high school wants to know if students spend more than 1 hour doing homework per night, on average. To i
MrRissso [65]

Answer:

If we define the random variable X ="time spend by the students doign homework"

And we want to tes t is students spend more than 1 hour doing homework per night, on average (alternative hypothesis), so then the system of hypothesis for this case are:

Null hypothesis: \mu \leq 1

Alternative hypothesis: \mu >1

And they wnat to use a sample size of n = 100 and a significance level of 0.05

Step-by-step explanation:

Previous concepts

A hypothesis is defined as "a speculation or theory based on insufficient evidence that lends itself to further testing and experimentation. With further testing, a hypothesis can usually be proven true or false".  

The null hypothesis is defined as "a hypothesis that says there is no statistical significance between the two variables in the hypothesis. It is the hypothesis that the researcher is trying to disprove".

The alternative hypothesis is "just the inverse, or opposite, of the null hypothesis. It is the hypothesis that researcher is trying to prove".

Solution to the problem

If we define the random variable X ="time spend by the students doign homework"

And we want to tes t is students spend more than 1 hour doing homework per night, on average (alternative hypothesis), so then the system of hypothesis for this case are:

Null hypothesis: \mu \leq 1

Alternative hypothesis: \mu >1

And they wnat to use a sample size of n = 100 and a significance level of 0.05

7 0
3 years ago
how many meatballs are required fora party of 10 adults and 5 childen? fomual is m=4a+2 where c= children and m=meatball and a=
professor190 [17]
The answer is 42 because there are 10 adults and
M=4(10)+2
M=40+2
M=42

3 0
4 years ago
Can someone explain how to solve this?
Irina18 [472]

Answer:

(-8,8)

Step-by-step explanation:

Simplify |n| + 4 < 12.  To do this, subtract 4 from both sides.  This results in:

|n| < 8.  The solution set includes all real numbers between -8 and 8, but not -8 itself or 8 itself.

3 0
3 years ago
What type of triangle is shown below check all that apply
sineoko [7]

Answer:

The first image is an Isosceles Triangle and Acute

Step-by-step explanation:

3 0
3 years ago
Read 2 more answers
Consider an experiment with a deck of 52 playing cards, in which there are 13 cards in each suit, two suits are black, and two s
lakkis [162]

Answer:

<u>P (E1) = 1/2 or 50%</u>

<u>P (E2) = 3/13 or 23%</u>

Step-by-step explanation:

1. Let's review the information given to us to answer the question correctly:

Number of playing cards = 52

Number of suits = 4

Number of cards per suit = 13

Number of black suits = 2

Number of red suits = 2

2.  Suppose E1 = the outcome is a red card and E2 = the outcome is a face card (K, Q, J). Determine P(E1 or E2).

P (E1) = Number of red cards/Total of playing cards

P (E1) = 26/52 = 1/2 = 50%

P (E2) = Number of face cards/Total of playing cards

P (E2) = 12/52 = 3/13 = 23%

8 0
3 years ago
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